5273 Business Intelligence Jobs - Page 25

In this vital and technical role, you will deliver innovative custom solutions for supporting patient safety and adhering to regulatory requirements from around the world. You will be an active participant in the team directly working towards advancing technical features and enhancements of the business applications, also involving Machine Learning and Natural Language Processing technologies. Develops and delivers robust technology solutions in a regulated environment by collaborating with business partners, information systems (IS) colleagues and service providers Authors documentation for technical specifications and designs that satisfy detailed business and functional requirements Works closely with business and IS teams to find opportunities Responsible for crafting and building end-to-end solutions using cloud technologies (e.g. Amazon Web Services and Business Intelligence tools (e.g. Cognos, Tableau and Spotfire) or any other platforms Chips in towards design and rapid Proof-of-Concept (POC) development efforts for automated solutions that improve efficiency and simplify business processes. Quickly and iteratively prove or disprove the concepts being considered. Ensures design, development of software solutions is meeting Amgen architectural, security, quality and development guidelines Participates in Agile development ceremonies and practices Write SQL queries to manipulate and visualize data using data visualization tools What we expect of you Master s degree with 1 - 2 years of experience in Computer Science, Software Development, IT or related field (OR) Bachelor s degree with 2 - 4 years of experience in Computer Science, Software Development, IT or related field (OR) Diploma with 5 - 8 years of experience in Computer Science, Software Development, IT or related field Must Have Skills: Experience and proficient with at least one development programming language/technologies such as Database SQL and Python Experience with at least one Business Intelligence tool such as Cognos, Tableau or Spotfire Familiarity with automation technologies UiPath and a desire to learn and support Solid understanding of Mulesoft and ETL technologies (e.g. Informatica, DataBricks) Understanding of AWS/cloud storage, hosting, and compute environments is required Good to Have Skills: Experienced in database programming languages, data modelling concepts, including Oracle SQL and PL/SQL Experience with API integrations such as MuleSoft Solid understanding of using one or more general programming languages, including but not limited to: Java or Python Outstanding written and verbal communication skills, and ability to explain technical concepts to non-technical clients Sharp learning agility, problem solving and analytical thinking Experienced in managing GxP systems and implementing GxP projects Extensive expertise in SDLC, including requirements, design, testing, data analysis, change control Certification: Understanding and experience with Agile methodology and DevOps Soft Skills: Strong communication and presentation skills Ability to work on multiple projects simultaneously Expertise in visualizing and manipulating large data sets Willing to learn to new technologies High learning agility, innovation, and analytical skills Shift Information: This position requires you to work a later shift and may be assigned a second or third shift schedule. Candidates must be willing and able to work during evening or night shifts, as required based on business requirements. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

As a Principal Product Manager within Enterprise Data Strategy and Engineering (EDSE), youll play a key role in unlocking the power of data and intelligence to enable Amgen s mission of accelerating breakthrough therapies. You will help shape and deliver Data and AI products and capabilities that support Amgen s strategic goals. Working closely with capability leads, business stakeholders, and engineering teams, you ll define solution roadmaps and set go-to-market strategies that drive adoption and measurable outcomes. This role is ideal for someone who enjoys shaping product direction, scoping new opportunities and delivering measurable outcomes. Youll contribute to the broader data strategy by ensuring that products and capabilities are positioned effectively and adopted meaningfully. As the function scales, you ll also play a key role in building and leading a team of Product Analysts, contributing to a growing internal product management practice. What You ll Do Lead product discovery with internal customers to surface problems worth solving and define valuable, feasible solutions Shape product strategy and roadmap aligned to enterprise priorities and capability vision Own go-to-market strategy, driving adoption and engagement across the business Use AI tools and rapid iteration methods to prototype, validate, and define product requirements Translate insights into clear, actionable specs that engineering teams can execute against Measure and track product outcomes, not just output, to ensure continuous value delivery Partner with business and technical leaders to position internal capabilities effectively Mentor Product Analysts and help build strong internal product practice as the team grows Define product and capability roadmaps aligned to business needs and enterprise data strategy Work with delivery teams to ensure timely execution and solution alignment What we expect of you Master s degree and 12 to 15 years of Information/Tech Systems experience OR Bachelor s degree and 14 to 17 years of Information/Tech Systems experience OR Diploma and 15 to 18 years of Information/Tech Systems experience Proven ability to lead product lifecycle end-to-end, from strategy through execution Demonstrated ability to innovate by leveraging AI tools to enhance product impact and accelerate outcomes Strong experience crafting and executing go-to-market strategies Excellent communication skills and ability to work across business and technology functions Familiarity with data, analytics, and AI platforms or related technologies Agile delivery experience in a matrixed environment Excellent project management skills with a record of building strong partnerships across multi-functional teams and managing diverse workloads to meet deadlines. Ability to work autonomously with minimal guidance and know when to seek input, combined with a collaborative approach to achieve alignment and support project goals Basic Qualifications: At least 6-8 years of relevant experience, with overall experience in above mentioned range, in a product management role preferably in Data, AI and related platforms. Experience in leading products, defining roadmap and tracking the success of the product. Develop and align product strategy to the organizational strategy. Experience with Agile methodologies (Scrum/SAFe). Excellent critical thinking, problem solving, and communication skills, Preferred Qualifications: Familiarity with cloud technologies, data platforms, and business intelligence (BI) tools and solutions Ability to work and lead effectively across matrixed organizations and collaborate between data and AI teams. Passion for technology and product success, particularly in driving innovative AI and data solutions. Experience in technology products related to data and AI products is a plus, and familiarity with biotech/pharma is beneficial. Soft Skills: Strong presentation and public speaking skills with experience communicating to Sr. leaders Excellent analytical and solving skills. Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to handle multiple priorities successfully. Team-oriented, with a focus on achieving team goals What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

Let s do this. Let s change the world. In this vital role you will be our expert to provide day-to-day Cost accounting and/or Intercompany operations support and you will be responsible for delivering a timely and high-quality accounting close. The focus of this role will be to implement various processes within the Cost accounting and Intercompany functional teams. As our Manager Cost Accounting/Intercompany you will ensure US GAAP and statutory reporting compliance. The ideal candidate is expected to have advanced knowledge in accounting, be results focused and thrive under pressure. Roles & Responsibilities: The Manager Intercompany and Cost Accounting will be responsible for several activities including but not limited to the following: Maintaining Cost Accounting master data including standard costs and other processes that can be identified for centralized management. Maintaining Global master data for Intercompany transactions including customer and vendor setup and maintenance. Preparing Intercompany Billing and Transfer Price Adjustments. Engaging with External Services Provider to coordinate and monitor activities and results, review work, and address issues on a timely basis. Reconciliation of relevant general ledger accounts (e.g. goods in transit). Managing internal controls to ensure quality standards and compliance requirements are met. Partnering with Corporate groups, such as Tax, Treasury, Supply Chain, Disbursements, and Information Systems to ensure proper accounting of inter-company related transactions. Identify and drive standardization of procedures/processes ensuring improved cost efficiency and appropriate quality & compliance. Provide direction on continuous improvement ideas and initiatives. Provide audit/reporting support for requests from Corporate External Reporting, Corporate Audit, External Auditors, Tax Compliance and Statutory Financials process by country affiliates. Support ERP and automation implementations to ensure proper design, documentation, testing, and training of personnel. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Doctorate degree OR Master s degree and 4 to 6 years of Finance experience OR Bachelor s degree and 6 to 8 years of Finance experience OR Diploma and 10 to 12 years of Finance experience Knowledge of financial management and accounting principles. Strong understanding of compliance and regulatory requirements. Experience with ERP systems and financial software. Resourceful leader who can connect the dots across matrixed organization Managerial and financial experience in a global, multi-site corporation Preferred Qualifications: Advanced degree in finance, accounting, or MBA Chartered Accountant (Certified public accountant), CMA, CFE or other professional certification relevant to the accounting profession. Extensive accounting and FP&A experience Experience supporting cross functional senior leaders of an organization Experience in preparing executive communication to include written and oral presentations Ability to manage multiple competing priorities in parallel Familiarity with the pharmaceutical/biotech industry. Experience with global finance operations. Proficiency in data analytics and business intelligence tools. Business performance management Finance transformation experience involving recent technology advancements Prior multinational capability center experience Experience with SAP (ECC and/or S4), Blackline, Workiva, Tableau/PowerBI Soft Skills: Excellent leadership and team management abilities. Strong communication and interpersonal skills. High level of integrity and ethical standards. Problem-solving and critical thinking capabilities. Ability to influence and motivate change. Adaptability to a dynamic and fast-paced environment. Strong organizational and time management skills. Ability to manage multiple competing priorities in parallel What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

Amgen India will be an integral part in driving growth & innovation, improving efficiency and creating enterprise value - supporting our mission To Serve Patients . The Amgen India Digital Technology & Innovation (DTI) Sr. Data Engineer role will be part of the development team under the Scaled Agile Framework (SAFe) Medical Data Analytics and Insights Product Team and primarily focus on delivering Analytics capabilities across Global Medical business organization. The selected individual will engage with business users, architect, validation engineers, platform teams, product owner and the members of development team to develop and deliver analytics needs and enhancements. This role requires expertise in developing UI applications using different technology platforms like REACT, Tableau, SQL, CI/CD, GitLab and AWS Services. Additionally, collaboration with various global teams is required to ensure seamless integration and operational excellence. The ideal candidate will have a strong data integration background in the end-to-end software development lifecycle and be a Scaled Agile practitioner. This role demands the ability to drive and deliver against key organizational strategic initiatives, foster a collaborative environment, and deliver high-quality results in a matrixed organizational structure. Roles & Responsibilities: Function as a Digital Technology Data and Analytics Data Engineer - Vizualization within a Scaled Agile Framework (SAFe) product team As member of Global Medical Data and Analytics Product team, ensure progress to business needs in a cost effective, compliant, reliable way Working experience knowledge of reporting tools like Tableau or Power BI Develop application prototypes and MVP using tools like Figma, React Lead day to day support activities all D&A team owned applications based on databricks, React framework and Tableau Use data, AI and metrics to understand trends in user behavior and product usage to influence strategy Use Integrated data and develop queries and UI tools and applications using latest frameworks like React Lead data analysis and insights user stories and utilize existing CI/CD delivery pipeline and processes - streamlining current processes with a focus on automation Communicate software and system designs using Miro, Lucid Chart, or other modeling tools and software. Develop Test classes and automation to validate business logic and avoid production issues Work closely with other developers in PRODUCT SCRUM team including business analyst, software engineers, Validation analyst and Product Owner Research AI/LLM based solutions and Drive Proof of Concepts to suit business requirements, Stay abreast of the latest trends in DevOps methodologies and emerging industry solutions Participate and develop business prioritized Data and Analytics matrix and user stories using Databricks environment Familiarity with AWS Services and other cloud technologies Develop technical design and business documentations for end users Developing a deep understanding of the product and the customer experience Talking to customers at pivotal points of the customer journey and distilling insights on what customers value most Debug and solve inbound customer challenges quickly and always to the customer s satisfaction What we expect of you Basic Qualifications: Doctorate degree / Masters degree / Bachelors degree and 8 to 13 years of Information Systems experience Preferred Qualifications: 3+ years of experience in developing, implementing and supporting Data and Analytics Data Lake systems, analytics/reporting and metrics/visualization tools Experience using Databricks platform developing interactive applications, SFDC APIs, REST based web services, SQL, XML, and JavaScript Extensive hands-on technical and engineering experience with building REACT based UI solutions Experience working in BI environments like Tableau / Power-BI etc. Experience developing in an enterprise environment with numerous applications, development teams, in an AGILE framework Understand AWS services, Security frameworks and AI/LLM base models Functional Skills: Ability to handle multiple projects simultaneously and prioritize tasks effectively Excellent problem-solving skills and a passion for tackling complex challenges Collaborative spirit and effective communication skills to work seamlessly in a cross-functional team An ongoing commitment to learning and staying at the forefront of AI, Business Intelligence (BI)/ ML advancements. Good-to-Have Skills: Hands-on technical development experience in delivering Data and Analytics projects in a fast-paced, multi-client environment Experience with technology systems: Veeva CRM, Content Management Systems (CMS), AWS, Google Analytics, Salesforce, etc Knowledgeable of analytics and design Principals SAFe Agile experienced Strong interpersonal and communication skills Experience with Project management software including JIRA, Confluence, Smartsheet Experience managing between onshore/offshore development teams Quick learner of existing and new AI/ML technologies and infrastructure Experience operating in a regulated business environment and adhering to mandatory compliance requirements preferred Pharmaceutical experience preferred Professional Certifications (please mention if the certification is preferred or mandatory for the role): SAFe for Teams certification (preferred) AWS Developer/User (preferred) Soft Skills: Excellent analytical and troubleshooting skills. Exceptional collaboration and communication skills. High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented with a focus on achieving team goals. Strong presentation and public speaking skills What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

Amgen India will be an integral part in driving growth & innovation, improving efficiency and creating enterprise value supporting our mission To Serve Patients . We are seeking a highly skilled Senior Associate Visualization Engineer Role to join our Global Medical Data and Analytics team and lead the technology ecosystem for enhancing Amgen s analytics and Visualization capability. This role will be be part of the development team under the Scaled Agile Framework (SAFe) Medical Data Analytics and Insights Product Team and primarily focus on delivering Analytics tools and capabilities across Global Medical business organization. The selected individual will engage with business users, validation engineers, product owner, architects and the members of the development team to develop and deliver analytics needs and enhancements. This role requires expertise in BI reporting tools like Tableau, Power BI and ability to develop technical solutions using Datalake and ETL technology platforms. Additionally, collaboration with various global teams is required to ensure seamless integration and operational excellence. The ideal candidate will have a strong technical background in the end-to-end software development lifecycle and be a Scaled Agile practitioner. This role demands the ability to drive and deliver against key organizational strategic initiatives, foster a collaborative environment, and deliver high-quality results in a matrixed organizational structure. Additionally, this role will bridge the gap between IT and Amgen Medical across the broader scientific data/technology ecosystem. The ideal candidate will analyze, design, and support the implementation of software solutions that meet the unique needs of our medical teams. They will provide day to day operations, data standardization, ad hoc query, reporting, technical support, training, data Roles & Responsibilities: As a Senior Visualization Engineer, be accountable for development and deployment of advanced data visualization solutions for Global Medical teams, enabling actionable insights across diverse business capabilities. Support Lifecycle management and ownership of technology assets. Develop interactive dashboards and analytical reports using industry-standard tools (e.g ., Tableau, Power BI ) to visualize complex medical data for various stakeholders, ensuring clarity and accuracy. Develop visualization prototypes for building interactive applications using latest frameworks like React js . Drive innovation in data visualization by introducing advanced techniques (e.g., predictive analytics, dynamic storytelling) to highlight trends and opportunities. Drive a Product First attitude amongst the team and peers with a goal towards global expansion of the product s capabilities Monitor and enhance the performance of visualization tools, ensuring optimal load times and usability. Partner with leadership in the Global Medical organization to define, develop, and implement technology solutions aligned with the organization s goals and objectives, with a focus on increasing the effectiveness of the organization. Oversee the implementation of automated data validation frameworks, ensuring consistency across datasets and reducing errors. Partner with cross-functional teams to understand business requirements and translate them into scalable visualization solutions. Present data insights and visualization solutions to senior leadership, enabling data-driven decision-making across the organization. Establish and monitor KPIs for the visualization team to ensure alignment with business goals and objectives. Drive cross-functional collaboration with engineering, data science, and business teams to streamline workflows and enhance efficiency. Drive the implementation of reusable, scalable frameworks for visualization solutions to support global reporting needs. Support ad-hoc and strategic reporting requests with customized data visualizations tailored to business needs. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Technical Expertise & Innovation Stay updated with emerging trends and tools in data visualization and analytics, incorporating innovative solutions into the teams workflows. Advocate for the adoption of cutting-edge tools and methodologies to elevate the organizations visualization capabilities. Collaborate on the development of a centralized data lake and ensure alignment with enterprise architecture standards. An ongoing commitment to learning and staying at the forefront of AI/ML advancements Key Skills Required Expertise in visualization tools such as Tableau, Power BI, or React js equivalent. Proficiency in SQL, Python, R, or other data analysis programming languages. Strong understanding of medical data models, including Field Medical, Medinfo, and SciComm frameworks. Excellent communication and stakeholder management skills. Strong project management skills, with experience leading cross-functional teams. Basic Qualifications: Masters degree / Bachelors degree and 5 to 9 years of Information Systems experience Preferred Qualifications: Bachelor s or Master s degree in Data Science, Computer Science, Analytics, Business Administration, or a related field. 7+ years of experience in data analytics, visualization, or business intelligence, preferably within the pharmaceutical, life sciences, or healthcare industry. Demonstrated experience in managing global data projects and collaborating with cross-functional teams in a matrixed organization. Advanced certifications in data visualization tools (e.g., Tableau Certified Professional, Microsoft Power BI Certification). Familiarity with cloud platforms such as AWS, Azure, or GCP, and experience in integrating data visualization solutions with cloud-based architectures. Must-Have Skills: Excellent communication and interpersonal skills, with the ability to convey technical information to non-technical users Ability to work collaboratively with cross-functional teams and manage multiple tasks simultaneously Strong analytical and problem-solving skills to interpret complex data and provide actionable insights Strong skills in analyzing and modeling large datasets, with expertise in creating aggregate data models and enabling ad-hoc reporting. Good-to-Have Skills: Work experience in the biotechnology or pharmaceutical industry. Experience using and adopting Scaled Agile Framework (SAFe) Ability to work effectively in a fast-paced, dynamic environment. An ongoing commitment to learning and staying at the forefront of AI/ML advancements. Professional Certifications SAFe for Teams certification (preferred) Tableau certification Soft Skills: Exceptional collaboration and communication skills. Ability to manage multiple priorities successfully. Team-oriented with a focus on achieving team goals. Strong presentation and public speaking skills. Strong ability to inspire and lead teams, fostering collaboration and accountability. Proactive approach to identifying challenges and implementing data-driven solutions effectively. Proven ability to work with cross-functional and multicultural teams to deliver on shared goals. Flexibility to manage evolving priorities in a fast-paced, dynamic environment. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. .

The Data Analytics & Automation Sr. Associate will support the Finance Corporate Services teams, including Global Meetings Management, Global Travel & Expense, Global Learning Solutions, Payroll, and Treasury. This role will be responsible for completing data collection, aggregation, and report development to support business leaders in tracking key performance measurements and service delivery effectiveness. Reporting to the Data Analytics & Automation Manager, this individual will play a critical role in creating and maintaining performance management dashboards and automation solutions. They will assist in analyzing data to identify trends, support investigations, and uncover opportunities for improvement in execution. The Sr. Associate will also work closely with the Corporate Services Product Team to ensure data connectivity and IT governance compliance. A successful candidate will be comfortable completing tasks under the guidance of leadership, compiling data-driven insights, and contributing to projects (long and short-term) that enhance business functions. They will also gather, analyze and prepare data in various forms for the Corporate Services leadership team, as well as other ad hoc needs and requests. Responsibilities Design and develop visual performance dashboards for Corporate Services and Finance functions to monitor key service delivery metrics. Apply tools such as Tableau, Power BI, and Smartsheet to create effective reporting solutions, ensuring data accuracy and integrity. Complete and implement automation solutions to enhance efficiency and reduce manual effort, bringing to bear tools such as Power Automate, Power Apps, Power Query, Tableau, Smartsheet, and SharePoint. Build and maintain data pipelines, queries, and reports to support strategic decision-making, business operations, and ad hoc analytics requests. Collect, aggregate, and analyze data from multiple systems and data warehouses (e.g., Cvent, Concur, SAP) to provide actionable insights and drive improvements in execution. Support AI automation initiatives, including the maintenance of intake and AI self-service platforms like ServiceNow, while finding opportunities for AI-driven process enhancements. Ensure seamless data integration and system configurations in collaboration with Technology teams, enforcing data governance policies and standardized data connectivity. Proactively identify trends, conduct investigations, and provide data-driven recommendations to functional leaders to improve business performance and operational efficiency. Prepare recurring reports and dashboards, including monthly, quarterly, and annual performance measurements for Corporate Services leadership. Develop and optimize data analytic queries, standardized/custom report layouts, and a library of executive report formats to align reporting processes with business objectives. Apply data science methodologies, including regression, classification, clustering, and predictive modeling, to enhance reporting and analytics capabilities. Conduct in-depth, ad hoc analyses to investigate operational challenges and provide data-driven insights Basic Qualifications: Master s degree and 1 to 3 years in Data Analytics, Computer Science, or a related field or & 2 years data analysis, automation or business intelligence experience Bachelor s degree and 3 to 5 years in Data Analytics, Computer Science, or a related field or & 4 years data analysis, automation or business intelligence experience Or Associate s degree and 7 to 9 years in Data Analytics, Computer Science, or a related field & 5 years data analysis, automation or business intelligence experience Preferred Qualifications: Experience with data analytics, reporting tools, and automation solutions. Strong skills in data visualization and dashboard creation (e.g., Power BI, Tableau). Proficiency in SQL and NoSQL databases, including relational table design, indexing strategies, and writing complex queries, with experience handling big data models, data lakes, and distributed computing frameworks. Ability to work with large datasets and extract meaningful insights. Proficiency in data analytics and visualization tools Expertise in automation platforms and workflows, including Microsoft Power Platform (Power Automate, Power Query, Power Apps, SharePoint, and Pages) to streamline processes and improve efficiency. Experience in programming languages such as Python, R, and JSON for data processing, automation, and analytics. Experience with AI-driven analytics and large language models (LLMs) to enhance data insights and automation capabilities. Experience working with self-service platforms such as ServiceNow to support business functions and automation. Understanding of enterprise data governance principles to ensure data accuracy, integrity, and compliance across reporting and automation systems. Familiarity with additional automation tools, such as UiPath and emerging AI technologies, to drive process optimization. Strong data visualization and storytelling skills, with the ability to translate complex data into meaningful dashboards, executive reports, and infographics. Knowledge of statistical techniques, including regression, clustering, and classification, as well as data discovery and visualization methods such as distributions, histograms, and bar charts. Proven ability to take initiative and complete projects independently, while effectively collaborating across teams and influencing without direct authority. Strong attention to detail and ability to manage multiple tasks effectively. Strong communication skills, with the ability to present insights clearly to leadership and coordinate cross-functional data requests and updates. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

Let s do this. Let s change the world. The Senior Associate position offers a unique opportunity to join a fun, innovative engineering team within the Enterprise Data Strategy and Engineering (EDSE) organization. You ll work on building next-generation capabilities and services in Data and AI using innovative open-source software, frameworks, tools, and cloud computing services. The role also emphasizes demonstrating these capabilities to support critical business operations and initiatives, ensuring alignment with organizational priorities. As a senior associate, for business performance, you will monitor departments performance looking at various projects, initiative and ongoing work to track and report the insights and updates. You will get connected with different teams: engineering, product, project management etc. to understand and report the performance. Analyze business performance data to identify trends, variances, and improvement opportunities. Collaborate with stakeholders to define and refine Key Performance Indicators (KPIs). Develop and maintain dashboards and reports using tools like Power BI, Tableau, or similar. Conduct ad-hoc and deep-dive analyses to support strategic initiatives and operational decisions. Present findings and recommendations to senior leadership in a clear and compelling manner. Support the execution of business performance strategies. Stay updated on industry trends, tools, and best practices in data analytics and business intelligence to track business performance. Provide updates and insights in best possible presentable format for the leadership and other teams. What we expect of you Master s degree and 4 to 6 years of business performance experience OR Bachelor s degree and 6 to 8 years of Information Systems experience OR Diploma and 8 to 11 years of Information Systems experience At least 4 years of relevant experience in a business performance role. Basic Qualifications: Understanding of different KPIs/metrics (operational, projects and financials) and ability to track, monitor and report those. Good analytical skills. Proficiency with data tools (e.g. excel, power bi, Tableau etc) Experience in communication and presentation to leadership. Excellent stakeholder management skills. Excellent communication and social skills, with the ability to work collaboratively with different teams. Preferred Qualifications: Ability to work effectively across matrixed organizations and lead in collaboration. Passion for technology and customer success, particularly in driving innovative AI and data solutions. Familiarity with biotech/pharma is beneficial. Soft Skills: Excellent analytical and solving skills. Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to handle multiple priorities successfully. Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

Amgen India will be an integral part in driving growth & innovation, improving efficiency and creating enterprise value - supporting our mission To Serve Patients . We are seeking a highly skilled Specialist Business System Analyst Visualization Role to join our Global Medical Data and Analytics team and lead the technology ecosystem for enhancing Amgen s analytics and Visualization capability. This role will be be part of the development team under the Scaled Agile Framework (SAFe) Medical Data Analytics and Insights Product Team and primarily focus on delivering Analytics capabilities across Global Medical business organization. The selected individual will engage with business users, validation engineers, product owner, architects and the members of the development team to develop and deliver analytics needs and enhancements. This role requires expertise in BI reporting tools like Tableau, Power BI and ability to develop technical solutions using Datalake and ETL technology platforms. Additionally, collaboration with various global teams is required to ensure seamless integration and operational excellence. The ideal candidate will have a strong technical background in the end-to-end software development lifecycle and be a Scaled Agile practitioner. This role demands the ability to drive and deliver against key organizational strategic initiatives, foster a collaborative environment, and deliver high-quality results in a matrixed organizational structure. Additionally, this role will bridge the gap between IT and Amgen Medical across the broader scientific data/technology ecosystem. The ideal candidate will analyze, design, and support the implementation of software solutions that meet the unique needs of our medical teams. They will provide day to day operations, data standardization, ad hoc query, reporting, technical support, training, data Roles & Responsibilities: As a specialist, Lead the design, development, and deployment of advanced data visualization solutions for Global Medical teams, enabling actionable insights across diverse business capabilities. Develop interactive dashboards and reports using industry-standard tools (e.g ., Tableau, Power BI ) to visualize complex medical data for various stakeholders, ensuring clarity and accuracy. Develop visualization Mockups for building interactive applications using latest frameworks like React js. Drive innovation in data visualization by introducing advanced techniques (e.g., predictive analytics, dynamic storytelling) to highlight trends and opportunities. Monitor and enhance the performance of visualization tools, ensuring optimal load times and usability. Ensure data integrity, quality, and compliance with regulatory standards, such as HIPAA and GDPR. Oversee the implementation of automated data validation frameworks, ensuring consistency across datasets and reducing errors. Partner with cross-functional teams to understand business requirements and translate them into scalable visualization solutions. Present data insights and visualization solutions to senior leadership, enabling data-driven decision-making across the organization. Train and mentor team members and business users on the effective use of visualization tools and analytics best practices. Manage and mentor a team of data visualization experts and analysts, fostering a culture of collaboration and innovation. Establish and monitor KPIs for the visualization team to ensure alignment with business goals and objectives. Drive cross-functional collaboration with engineering, data science, and business teams to streamline workflows and enhance efficiency. Drive the implementation of reusable, scalable frameworks for visualization solutions to support global reporting needs. Support ad-hoc and strategic reporting requests with customized data visualizations tailored to business needs. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Technical Expertise & Innovation Stay updated with emerging trends and tools in data visualization and analytics, incorporating innovative solutions into the teams workflows. Advocate for the adoption of cutting-edge tools and methodologies to elevate the organizations visualization capabilities. Collaborate on the development of a centralized data lake and ensure alignment with enterprise architecture standards. Key Skills Required Expertise in visualization tools such as Tableau, Power BI, or React js equivalent. Proficiency in SQL, Python, R, or other data analysis programming languages. Strong understanding of medical data models, including Field Medical, Medinfo, and SciComm frameworks. Excellent communication and stakeholder management skills. Strong project management skills, with experience leading cross-functional teams. Basic Qualifications Doctorate degree / Masters degree / Bachelors degree and 8 to 13 years of Information Systems experience Preferred Qualifications: Bachelor s or Master s degree in Data Science, Computer Science, Analytics, Business Administration, or a related field. 4+ years of experience in data analytics, visualization, or business intelligence, preferably within the pharmaceutical, life sciences, or healthcare industry. Demonstrated experience in managing global data projects and collaborating with cross-functional teams in a matrixed organization. Advanced certifications in data visualization tools (e.g., Tableau Certified Professional, Microsoft Power BI Certification). Familiarity with cloud platforms such as AWS, Azure, or GCP, and experience in integrating data visualization solutions with cloud-based architectures. Must-Have Skills: Excellent communication and interpersonal skills, with the ability to convey technical information to non-technical users Ability to work collaboratively with cross-functional teams and manage multiple tasks simultaneously Strong analytical and problem-solving skills to interpret complex data and provide actionable insights Strong skills in analyzing and modeling large datasets, with expertise in creating aggregate data models and enabling ad-hoc reporting. Good-to-Have Skills: Work experience in the biotechnology or pharmaceutical industry. Experience using and adopting Scaled Agile Framework (SAFe) Ability to work effectively in a fast-paced, dynamic environment. An ongoing commitment to learning and staying at the forefront of AI/ML advancements. Professional Certifications SAFe for Teams certification (preferred) Soft Skills: Exceptional collaboration and communication skills. Ability to manage multiple priorities successfully. Team-oriented with a focus on achieving team goals. Strong presentation and public speaking skills. Strong ability to inspire and lead teams, fostering collaboration and accountability. Proactive approach to identifying challenges and implementing data-driven solutions effectively. Proven ability to work with cross-functional and multicultural teams to deliver on shared goals. Flexibility to manage evolving priorities in a fast-paced, dynamic environment. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

Amgen India will be an integral part in driving growth & innovation, improving efficiency and creating enterprise value supporting our mission To Serve Patients . We are seeking a highly skilled Specialist IS Architect Visualization Role to join our Global Medical Data and Analytics team and lead the technology ecosystem to enhance Amgen s analytics and Visualization capability. This role will be part of the development team under the Scaled Agile Framework (SAFe) Medical Data Analytics and Insights Product Team and primarily focus on delivering Analytics capabilities across Global Medical business organization. The selected individual will be responsible for architecting, design and develop analytics solutions and engage with validation engineers, product owner, architects and the members of the development team. This role requires expertise in architecting solution based on REACT framework, Using API integrations and experience with BI reporting tools like Tableau, The architect will develop technical solutions using Datalake and ETL technology platforms. Additionally, collaboration with various global teams is required to ensure seamless integration and operational excellence. The ideal candidate will have a strong technical background in architecting end-to-end software development lifecycle and be a Scaled Agile practitioner. This role demands the ability to drive and deliver against key organizational strategic initiatives, foster a collaborative environment, and deliver high-quality results in a matrixed organizational structure. The ideal candidate will architect and design solutions and support the implementation of software solutions that meet the unique needs of our medical teams. They will provide day to day operations, data standardization, ad hoc query, reporting, technical support, training, data Roles & Responsibilities: As a Specialist IS Visualization Architect Lead the design, aid development, and deployment of advanced data visualization solutions for Global Medical teams, enabling actionable insights across diverse business capabilities. Design interactive solutions and analytical reports using industry-standard tools (e.g ., Tableau, Power BI ) to visualize complex medical data for various stakeholders, ensuring clarity and accuracy. Develop visualization UI applications and prototypes using the the latest frameworks like React js and Node JS Drive innovation in data visualization by introducing advanced techniques (e.g., AI, predictive analytics, dynamic storytelling) to highlight trends and opportunities. Monitor and enhance the performance of visualization tools, ensuring optimal load times and usability. Ensure data integrity, quality, and compliance with regulatory standards, such as HIPAA and GDPR. Partner with cross-functional teams to understand business requirements and translate them into scalable visualization solutions. Present data insights and visualization solutions to senior leadership, enabling data-driven decision-making across the organization. Train and mentor team members and business users on the effective use of visualization tools and analytics best practices. Manage and mentor a team of data visualization experts and analysts, fostering a culture of collaboration and innovation. Establish and monitor KPIs for the visualization team to ensure alignment with business goals and objectives. Drive cross-functional collaboration with engineering, data science, and business teams to streamline workflows and enhance efficiency. Drive the implementation of reusable, scalable frameworks for visualization solutions to support global reporting needs. Support ad-hoc and strategic reporting requests with customized data visualizations tailored to business needs. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Technical Expertise & Innovation Stay updated with emerging trends and tools in data visualization and analytics, incorporating innovative solutions into the teams workflows. Advocate for the adoption of cutting-edge tools and methodologies to elevate the organizations visualization capabilities. Collaborate on the development of a centralized data lake and ensure alignment with enterprise architecture standards. An ongoing commitment to learning and staying at the forefront of AI/ML advancements Key Skills Required Technical Expertise in architecting visualization solutions and applications such as Tableau, Power BI, or React js equivalent. Proficiency in integrating data and hands on experience with SQL, Python, R, or other data analysis programming languages. Strong understanding of medical data models, including Field Medical, Medinfo, and SciComm frameworks. Excellent communication and stakeholder management skills. Strong project management skills, with experience leading cross-functional teams. Basic Qualifications Doctorate degree / Masters degree / Bachelors degree and 8 to 13 years of Information Systems experience Preferred Qualifications: Bachelor s or Master s degree in Data Science, Computer Science, Analytics, Business Administration, or a related field. 7+ years of experience in Architecting, data analytics, visualization, or business intelligence, preferably within the pharmaceutical, life sciences, or healthcare industry. Demonstrated experience in managing global data projects and collaborating with cross-functional teams in a matrixed organization. Advanced certifications in data visualization tools (e.g., Tableau Certified Professional, Microsoft Power BI Certification). Familiarity with cloud platforms such as AWS, Azure, or GCP, and experience in integrating data visualization solutions with cloud-based architectures. Functional Skills: Must-Have Skills: Excellent communication and interpersonal skills, with the ability to convey technical information to non-technical users Ability to work collaboratively with cross-functional teams and manage multiple tasks simultaneously Strong analytical and problem-solving skills to interpret complex data and provide actionable insights Strong skills in analyzing and modeling large datasets, with expertise in creating aggregate data models and enabling ad-hoc reporting. Good-to-Have Skills: Work experience in the biotechnology or pharmaceutical industry. Experience using and adopting Scaled Agile Framework (SAFe) Ability to work effectively in a fast-paced, dynamic environment. An ongoing commitment to learning and staying at the forefront of AI/ML advancements. Professional Certifications SAFe for Teams certification (preferred) Soft Skills: Exceptional collaboration and communication skills. Ability to manage multiple priorities successfully. Team-oriented with a focus on achieving team goals. Strong presentation and public speaking skills. Strong ability to inspire and lead teams, fostering collaboration and accountability. Proactive approach to identifying challenges and implementing data-driven solutions effectively. Proven ability to work with cross-functional and multicultural teams to deliver on shared goals. Flexibility to manage evolving priorities in a fast-paced, dynamic environment. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. .

Let s do this. Let s change the world. In this vital role you will be part of the SCRUM development team under the Scaled Agile Framework (SAFe) Medical Data Analytics and Insights Product Team and primarily focus on delivering Analytics capabilities across Global Medical business organization. The selected individual will be responsible for architecting, design and develop integration and data pipelines, analytics solutions and engage with validation engineers, product owner, architects and the members of the development team. This role requires expertise in architecting solution based on Databricks framework, Developing API integrations framework and experience with reporting tools like Tableau, The architect will develop technical solutions using Enterprise Datalake and ETL technology platforms. Additionally, collaboration with various global teams is required to ensure seamless integration and operational excellence. The ideal candidate will have a strong technical background in architecting end-to-end software development lifecycle and be a Scaled Agile practitioner. This role demands the ability to drive and deliver against key organizational strategic initiatives, foster a collaborative environment, and deliver high-quality results in a matrixed organizational structure. The ideal candidate will architect and design solutions and support the implementation of software solutions that meet the unique needs of our medical teams. They will provide day to day operations, data standardization, ad hoc query, reporting, technical support, training, data Roles & Responsibilities: As a Specialist IS Platform Architect Lead the design, aid development, and deployment of advanced data integration solutions for Global Medical teams, enabling actionable insights across diverse business capabilities. Design integrated solutions and analytical summarized dimensional data models and datasets to augment visualization applications and dashboards Aid Development platform team with design, development of backend infrastructure and integrated views using AWS, Databricks notebooks with Python, sql, node.js Drive innovation in data analytics by introducing advanced techniques (e.g., AI, predictive analytics, dynamic storytelling) to highlight trends and opportunities. Drive API based integration capabilities to integrate the Global Medical ecosystem Monitor and enhance the performance of data pipelines, ensuring optimal load times and usability. Ensure data integrity, quality, and compliance with regulatory standards, such as HIPAA and GDPR. Partner with cross-functional teams to understand business requirements and translate them into scalable visualization solutions. Present data insights n solutions to senior leadership, enabling data-driven decision-making across the organization. Train and mentor team members and business users on the effective use of analytics best practices. Establish and monitor KPIs and data load pipelines Drive cross-functional collaboration with engineering, data science, and business teams to streamline workflows and enhance efficiency. Drive the implementation of reusable, scalable frameworks for visualization solutions to support global reporting needs. Support ad-hoc and strategic reporting requests with customized data visualizations tailored to business needs. Technical Expertise & Innovation Stay updated with emerging trends and tools in data and analytics, incorporating innovative solutions into the teams workflows. Advocate for the adoption of cutting-edge tools and methodologies to elevate the organizations visualization capabilities. Collaborate on the development of a centralized data lake and ensure alignment with enterprise architecture standards. An ongoing commitment to learning and staying at the forefront of AI/ML advancements What we expect of you We are all different, yet we all use our unique contributions to serve patients. The [vital attribute] professional we seek is a [type of person] with these qualifications. Basic Qualifications: Doctorate degree / Masters degree / Bachelors degree and 8 to 13 years of Information Systems experience Technical Expertise in architecting visualization solutions and applications such as Tableau, Power BI, or React js equivalent. Proficiency in integrating data and hands on experience with AWS, SQL, Python, R, or other data analysis programming languages. Strong understanding of medical data models, including Field Medical, Medinfo, and SciComm frameworks. Excellent communication and stakeholder management skills. Strong project management skills, with experience leading cross-functional teams Preferred Qualifications: 7+ years of experience in Architecting, data analytics, visualization, or business intelligence, preferably within the pharmaceutical, life sciences, or healthcare industry. Demonstrated experience in managing global data projects and collaborating with cross-functional teams in a matrixed organization. Advanced certifications in data visualization tools (e.g., Tableau Certified Professional, Microsoft Power BI Certification). Familiarity with cloud platforms such as AWS, Azure, or GCP, and experience in integrating data visualization solutions with cloud-based architectures. Functional Skills: Must-Have Skills: Excellent communication and interpersonal skills, with the ability to convey technical information to non-technical users Ability to work collaboratively with cross-functional teams and manage multiple tasks simultaneously Strong analytical and problem-solving skills to interpret complex data and provide actionable insights Strong skills in analyzing and modeling large datasets, with expertise in creating aggregate data models and enabling ad-hoc reporting. Good-to-Have Skills: Work experience in the biotechnology or pharmaceutical industry. Experience using and adopting Scaled Agile Framework (SAFe) Ability to work effectively in a fast-paced, dynamic environment. An ongoing commitment to learning and staying at the forefront of AI/ML advancements. Professional Certifications SAFe for Teams certification (preferred) Soft Skills: Exceptional collaboration and communication skills. Ability to manage multiple priorities successfully. Team-oriented with a focus on achieving team goals. Strong presentation and public speaking skills. Strong ability to inspire and lead teams, fostering collaboration and accountability. Proactive approach to identifying challenges and implementing data-driven solutions effectively. Proven ability to work with cross-functional and multicultural teams to deliver on shared goals. Flexibility to manage evolving priorities in a fast-paced, dynamic environment. Equal opportunity statement We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation .

Let s do this. Let s change the world. In this vital role, you will be a Senior Portfolio Analyst (Visual Storytelling Specialist) with deep expertise in biotechnology, pharmaceuticals, and life sciences to drive data-driven decision-making through strategic portfolio analysis, advanced data visualization, and executive storytelling. This role will be responsible for transforming complex R&D, clinical, and commercial portfolio data into visually compelling, insight-driven narratives that enable senior leadership to make informed investment and pipeline decisions. The ideal candidate is a data-driven strategist and visual communicator, with expertise in business intelligence (BI), portfolio management, analytics, and visualization tools such as Power BI, Tableau, or Looker. This individual will play a key role in shaping the drug development pipeline, investment prioritization, and market access strategies by presenting clear, actionable insights through interactive dashboards, executive presentations, and data storytelling techniques. work Develop and lead portfolio analytics strategies, transforming R&D, clinical, regulatory, and commercial data into compelling, insight-rich visualizations for decision-makers. Design and build interactive presentations & reports using Microsoft PowerPoint & Power BI, Tableau, or similar BI tools, ensuring data is intuitive, engaging, and business-relevant. Translate complex portfolio data (clinical trial progress, regulatory milestones, pipeline prioritization, market trends) into concise visual narratives that facilitate executive decision-making. Collaborate with cross-functional teams (R&D, Finance, Commercial, Regulatory, Market Access) to synthesize data from multiple sources, aligning insights with business strategy. Track and monitor key portfolio performance indicators, including pipeline investments, resource allocation, clinical success rates, and commercialization forecasts. Establish and maintain portfolio data governance, ensuring accuracy, consistency, and integrity of information used for strategic decision-making. Drive scenario planning and predictive modeling, leveraging AI/ML-powered BI tools to assess portfolio risks, opportunities, and trade-offs. Develop executive-ready presentations, infographics, and business cases, ensuring leadership has clear, data-backed insights to guide portfolio investment and resource allocation. Analyze competitive intelligence, industry trends, and regulatory updates, integrating insights into portfolio planning and lifecycle management strategies. Continuously refine visualization frameworks, adopting the latest data storytelling techniques, design principles, and BI automation to improve stakeholder engagement. What we expect of you Master s degree and 4 to 6 years of experience in Management Analytics consulting OR Bachelor s degree and 6 to 8 years of experience in Management Analytics consulting OR Diploma and 10 to 12 years of experience in Management Analytics consulting experience Basic Qualifications: Experience in portfolio analysis, business intelligence (BI), or data visualization, with a strong background in the biotech/pharmaceutical industry. Expertise in Microsoft PowerPoint, Excel, Power BI, Tableau, Looker, Qlik Sense, or other BI visualization tools for executive reporting and data storytelling. Strong understanding of drug development lifecycle, including clinical trials (Phase I-IV), regulatory milestones, market access, and commercialization strategies. Proficiency in data modeling, SQL, Excel, and analytical scripting (DAX, Power Query M, or Python/R for analytics). Experience working with R&D, Commercial, and Financial teams in a biotech/pharma setting, translating scientific and business data into actionable insights. Strong ability to synthesize complex datasets into executive-level dashboards, visual reports, and storytelling presentations. Knowledge of portfolio management frameworks, risk analysis, and scenario modeling within pharmaceutical pipeline planning. Experience integrating industry-standard data sources such as ClinicalTrials.gov, Evaluate-Pharma, IQVIA, FDA databases, and commercial market research. Exceptional communication and stakeholder management skills, with experience in engaging C-suite executives, board members, and scientific leadership. Ability to manage multiple high-priority projects, ensuring on-time delivery in a fast-paced, highly regulated environment. Certification in BI & Data Analytics (Microsoft Certified: Power BI Data Analyst, Tableau Desktop Certified, Looker Certified, etc.). Experience with AI/ML-driven BI solutions, including predictive analytics, anomaly detection, and natural language processing (NLP) for BI. Familiarity with Lean Portfolio Management (LPM), Agile SAFe methodologies, and enterprise BI governance strategies. Preferred Qualifications: Expertise in Power BI, Tableau, or Looker for developing interactive dashboards, executive reports, and data storytelling for decision-making. Strong understanding of clinical trials (Phase I-IV), regulatory achievements (FDA, EMA), R&D investments, and drug commercialization strategies. Proficiency in SQL, DAX, Power Query (M), and Excel, with experience in data modeling, financial forecasting, and scenario analysis. Experience in pipeline prioritization, resource allocation, probability of success (PoS) modeling, and competitive intelligence analysis. Ability to translate complex portfolio data into executive-ready insights, using data visualization, storytelling techniques, and critical communication. Soft Skills: Excellent analytical and fixing skills. Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals. Ability to learn quickly, be organized and diligent. Strong presentation and public speaking skills. EQUAL OPPORTUNITY STATEMENT .

Let s do this. Let s change the world. In this vital role you will responsible for leading and charting the course for the Research Data & Analytics (RDNA) team that builds and transforms data and analytics capabilities for Amgen s drug discovery research organization. This individual will be responsible for developing and leading a highly talented team that is built for delivering high-end and innovative technologies. As a scientific data domain expert, this role will collaborate with cross-functional teams to identify strategies for implementation and adoption of Amgen Research Foundational Data Systems. The ideal candidate will have a strong background in biopharma scientific domains as well as informatics solution delivery with a proven track record of leadership in technology-driven environments that facilitate data-driven R&D activities and has a passion for fostering innovation and excellence in the biotechnology industry. The candidate will have experience in evaluation and coaching of Technology Analysts and Managers, coupled with leadership and transformation experience. Additionally, collaboration with global teams is required to ensure seamless integration and operational excellence. This role demands the ability to drive and deliver against key organizational strategic initiatives, foster a collaborative environment, and deliver high-quality results in a matrixed organizational structure. Roles & Responsibilities: Lead and handle diverse teams within a matrixed organization. Collaborate with geographically dispersed teams, including those in the US, EU, and other international locations. Provide technology delivery leadership and domain expertise for RDNA product teams and capabilities. Partner with Research and Technology leaders to create technology delivery strategy and prioritized agenda for RDNA. Ensure scientific data operations are scoped into building Research-wide Artificial Intelligence/Machine Learning capabilities. Provide leadership for the creation of functional analytics dashboards and fit-for-purposes applications for quantitative research, scientific analysis and business intelligence (via Spotfire, Tableau, Dash, Posit, Streamlit, RShiny, etc.). Manage a suite of custom internal platforms, commercial off-the-shelf (COTS) software, and systems integrations. Follow global standards and practices. Foster a culture of collaboration, innovation, and continuous improvement. Develop talent, motivate the team, delegate effectively, champion diversity within the team and act as a role model of servant leadership. Manage, grow, and develop the Amgen Technology team in India, ensuring global ways of working are embedded in the local organization. Understand the decision-making process, workflows, and business and information needs of business partners and collaborators. Work with Product Owners, Service Owners and/or delivery teams to ensure that delivery matches commitments, acting as a partner concern point and facilitating communication when service commitments are not met. Ensure communication of key performance metrics and analysis of unmet needs. Ensure ongoing alignment with strategy, compliance, and regulatory requirements for technology investments and services. Facilitate standard methodology sharing, ensuring ongoing alignment with the Technology & Digital strategy. Oversee operating budgets and product team budgets, ensuring regular review of actuals and latest estimates, managing according to agreed governance. Ensure alignment of Technology service plans across organization. Provide education to new partners with regards to Data and Analytics service offerings. Remain accountable for ensuring overall organizational compliance to quality/compliance requirements such as GXP and Privacy. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Master s degree and 8 to 10 years of Life Sciences, Computer Science, IT, Computational Chemistry/Cheminformatics, Computational Biology/Bioinformatics or related field, OR Bachelor s degree and 10 to 14 years of Life Sciences, Computer Science, IT, Computational Chemistry/Cheminformatics, Computational Biology/Bioinformatics or related field, OR Diploma and 14 to 18 years of Life Sciences, Computer Science, IT, Computational Chemistry/Cheminformatics, Computational Biology/Bioinformatics or related field Familiarity with data analytics and scientific computing platforms such as Databricks, Dash, Streamlit, RShiny, Spotfire, Tableau and related programming languages like SQL, python, R Excellent problem-solving skills and a passion for tackling complex challenges in drug discovery with technology and data Demonstrated experience building strong teams with consistent practices in a matrix organization In-depth knowledge of Agile processes and principles for coordinated solutions and teams via SAFe Preferred Qualifications: Familiarity with advanced analytics, AI/ML and scientific computing infrastructure, such as High-Performance Compute (HPC) environments and clusters (e.g., SLURM, Kubernetes) 6+ years of experience in implementing and supporting biopharma scientific research data analytics. Experience in a leadership role within a pharmaceutical or technology organization Demonstrated expertise in a scientific domain area and related technology needs Understanding of scientific data strategy, data governance, data infrastructure Experience with cloud (e.g. AWS) and on-premise compute infrastructure Strong analytical/critical-thinking and decision-making abilities Ability to work effectively in a fast-paced, dynamic environment Experience in establishing business partnerships and IS governance practices involving senior business collaborators. Professional Certifications SAFe Agilist, Certified Agile Leader or similar (preferred) Soft Skills: Excellent leadership and team management skills Strong transformation and change management experience Exceptional collaboration and communication skills High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented with a focus on achieving team goals Strong presentation and public speaking skills Ability to work effectively with global, virtual teams What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

As a Sr. Digital Product Manager within Enterprise Data Strategy and Engineering (EDSE), youll play a key role in unlocking the power of data and intelligence to enable Amgen s mission of accelerating breakthrough therapies. You will help shape and deliver Data and AI products and capabilities that support Amgen s strategic goals. Working closely with capability leads, business key collaborators, and engineering teams, you ll define solution roadmaps and set go-to-market strategies that drive adoption and measurable outcomes. This role is ideal for someone who enjoys shaping product direction, scoping new opportunities and delivering measurable outcomes. Youll contribute to the broader data strategy by ensuring that products and capabilities are positioned effectively and adopted meaningfully. Lead product discovery with internal customers to surface problems worth solving and define valuable, feasible solutions Shape product strategy and roadmap aligned to enterprise priorities and capability vision Own go-to-market strategy, driving adoption and engagement across the business Use AI tools and rapid iteration methods to prototype, validate, and define product requirements Translate insights into clear, actionable specs that engineering teams can complete Measure and track product outcomes, not just output, to ensure continuous value delivery Partner with business and technical leaders to position internal capabilities effectively Mentor Product Analysts and help build strong internal product practice as the team grows Define product and capability roadmaps aligned to business needs and enterprise data strategy Work with delivery teams to ensure timely execution and solution alignment As the function scales, you ll also play a key role in building and leading a team of Product Analysts, contributing to a growing internal product management practice What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Doctorate degree / Masters degree / Bachelors degree and 12 to 17 years of experience in Information/Tech Systems Proven ability to lead product lifecycle end-to-end, from strategy through execution Demonstrated ability to innovate by leveraging AI tools to enhance product impact and accelerate outcomes Strong experience crafting and implementing go-to-market strategies Excellent communication skills and ability to work across business and technology functions Familiarity with data, analytics, and AI platforms or related technologies Agile delivery experience in a matrixed environment Excellent project management skills with a record of building strong partnerships across multi-functional teams and managing diverse workloads to meet deadlines. Ability to work autonomously with minimal guidance and know when to seek input, combined with a collaborative approach to align with and support project goals Preferred Qualifications: Relevant experience, with overall experience in above mentioned range, in a product management role preferably in Data, AI and related platforms. Experience in leading products, defining roadmap and tracking the success of the product. Develop and align product strategy to the organizational strategy. Experience with Agile methodologies (Scrum/SAFe). Excellent critical thinking, problem solving, and communication skills Preferred Qualifications: Familiarity with cloud technologies, data platforms, and business intelligence (BI) tools and solutions Ability to work and lead effectively across matrixed organizations and collaborate between data and AI teams. Passion for technology and product success, particularly in driving innovative AI and data solutions. Experience in technology products related to data and AI products is a plus, and familiarity with biotech/pharma is beneficial. Soft Skills: Strong presentation and public speaking skills with experience communicating to Sr. leaders Excellent analytical and solving skills. Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to handle multiple priorities successfully. Team-oriented, with a focus on achieving team goals What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

As the Sr Manager of Business Intelligence, you will lead the development and delivery of enterprise-wide BI capabilities that enable data-driven decision-making. You will oversee a team of BI engineers, analysts, and data scientists to deliver scalable, high-impact solutions that support strategic initiatives across the organization. This role requires a strong blend of technical leadership, product vision, and stakeholder engagement to drive innovation and operational excellence in BI. Roles & Responsibilities: Lead the end-to-end delivery of BI products and features, from concept through release and lifecycle management. Manage a cross-functional team of engineers, analysts, and product owners to ensure business, quality, and functional goals are met. Define and prioritize the BI roadmap, incorporating stakeholder feedback and aligning with enterprise strategy. Drive excellence in BI engineering practices, including data modeling , visualization, and performance optimization. Collaborate with partner teams to ensure seamless integration of BI solutions with enterprise data platforms. Establish and monitor KPIs to measure team performance and product impact. Communicate vision, progress, and outcomes to senior leadership and stakeholders. Foster a culture of innovation, continuous improvement, and high performance. Basic Qualifications and Experience: 5+ years of managerial experience directly managing people and/or leading teams, projects, or programs AND one of the following: Doctorate degree and 2 years of Information Systems experience OR Master s degree and 6 years of Information Systems experience OR Bachelor s degree and 8 years of Information Systems experience OR Associate s degree and 10 years of Information Systems experience Functional Skills: Deep expertise in BI platforms and data visualization tools (e.g., Power BI, Tableau, Cognos) Strong understanding of data integration, enterprise data fabric, and cloud technologies (e.g., AWS, Databricks) Proven experience building and leading high-performing BI teams Demonstrated ability to manage product roadmaps, secure funding, and deliver measurable outcomes In-depth knowledge of Agile methodologies and software development lifecycle Good-to-Have Skills: Experience with AWS services (e.g., S3, EMR, Redshift, Athena) Familiarity with DevOps tools and cloud-native design patterns Prior experience in vendor management and financial oversight Understanding of cloud security and compliance frameworks Professional Certifications (please mention if the certification is preferred or mandatory for the role): AWS Developer certification (preferred) Certified DevOps Engineer ( preferred ) Certified Agile Leader or similar ( preferred ) SAFe for Teams Certification (preferred) Soft Skills: Strong strategic thinking and decision-making abilities Excellent communication and stakeholder management skills High attention to detail and critical thinking Ability to influence and energize cross-functional teams Proactive, self-motivated, and adaptable to change Strong presentation and public speaking skills Effective in managing multiple priorities and global virtual teams Shift Information: This position may require working a second or third shift based on business needs. Candidates must be willing and able to work during evening or night shifts if required .

Let s do this. Let s change the world. In this vital role you will be responsible for the month-end close and controllership activities for specific countries in the ELMAC region (Europe, Latin America, Middle East, Africa, and Canada). Besides that, you will support the Sr. Managers with the successful delivery of strategic, tactical, and general accounting & controlling goals. In this role, will also be under your responsibility performance of balance sheet reviews in liaison with outsourced partners/Finance and Administration team at the ELMAC affiliate, as well as the control validations and testing (IICC/SOX). Roles & Responsibilities: The Senior Associate accounting will be responsible for several activities including but not limited to the following: Be responsible for accurate, complete, and timely periodic accounting close for ELMAC. Support the preparation of close packages (including variance analysis), and disclosure checklist. Operate as a link between local, regional, and functional finance teams establish clear roles & responsibilities, and install the appropriate processes and tools. Support and advise local Finance leads with Tax compliance, internal and external audits as well as the implementation of recommended improvements. Create and track financial metrics as part of a dashboard for management. Provide ad hoc support to the Accounting Director and flag all opportunities and challenges. Keep track of the effectiveness of SLAs, process maps, and SOPs, and monitor the various Finance functions. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Master s degree and 3+ years of Finance experience. Bachelor s degree and 6+ years of Finance experience. Knowledge of financial management and accounting principles. Strong understanding of compliance and regulatory requirements. Experience with ERP systems and financial software. Financial experience in a global, multi-site corporation Preferred Qualifications: Advanced degree in finance, accounting, or MBA. Chartered Accountant (Certified public accountant), CMA, CFE or other professional. certification relevant to the accounting profession. Extensive accounting experience. Ability to manage multiple competing priorities in parallel. Familiarity with the pharmaceutical/biotech industry. Experience with global finance operations. Proficiency in data analytics and business intelligence tools. Finance transformation experience involving recent technology advancements Prior multinational capability center experience Experience with SAP (ECC and/or S4), Blackline, Workiva, Tableau/PowerBI Soft Skills: Strong communication and interpersonal skills. High level of integrity and ethical standards. Problem-solving and critical thinking capabilities. Adaptability to a dynamic and fast-paced environment. Strong organizational and time management skills. Ability to manage multiple competing priorities in parallel. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

Let s do this. Let s change the world. In this vital role you will primarily focus on analyzing scientific requirements from Global Research and translating them into efficient and effective information systems solutions. As a domain expert, the prospective BA collaborate with cross-functional teams to identify data product enhancement opportunities, perform data analysis, troubleshoot issues, and support system implementation and maintenance. Additionally, it will involve development of data product launch and user adoption strategy of Amgen Research Foundational Data Systems. Your expertise in business process analysis and technology will contribute to the successful delivery of IT solutions that drive operational efficiency and meet business objectives. This role requires expertise in biopharma scientific domains as well as informatics solution delivery. Additionally, extensive collaboration with global teams is required to ensure seamless integration and operational excellence. The ideal candidate will have a solid background in the end-to-end software development lifecycle and be a Scaled Agile practitioner, coupled with change management and transformation experience. This role demands the ability to deliver against key organizational central initiatives, foster a collaborative environment, and deliver high-quality results in a matrixed organizational structure. Collaborate with geographically dispersed teams, including those in the US, EU and other international locations. Partner and ensure alignment of the Amgen India DTI site leadership and follow global standards and practices. Foster a culture of collaboration, innovation, and continuous improvement. Function as a Scientific Business Analyst, providing domain expertise for Research Data and Analytics within a Scaled Agile Framework (SAFe) product team Serve as Agile team scrum master or project manager as needed Create functional analytics dashboards and fit-for-purposes applications for quantitative research, scientific analysis and business intelligence (Databricks, Spotfire, Tableau, Dash, Streamlit, RShiny) Support a suite of custom internal platforms, commercial off-the-shelf (COTS) software, and systems integrations Translate scientific and technological needs into clear, actionable requirements for development teams Develop and maintain release deliverables that clearly outlines the planned features and enhancements, timelines, and milestones Identify and manage risks associated with the systems, including technological risks, scientific validation, and user acceptance Develop documentations, communication plans and training plans for end users Ensure scientific data operations are scoped into building Research-wide Artificial Intelligence/Machine Learning capabilities Ensure operational excellence, cybersecurity and compliance. What we expect of you Master s degree and 1 to 3 years of Life Science / Biotechnology / Pharmacology / Information Systems experience OR Bachelor s degree and 3 to 5 years of Life Science / Biotechnology / Pharmacology / Information Systems experience OR Diploma and 7 to 9 years of Life Science / Biotechnology / Pharmacology / Information Systems experience. Basic Qualifications: 3+ years of experience in implementing and supporting biopharma scientific research data analytics Excellent problem-solving skills and a passion for tackling complex challenges in drug discovery with data Collaborative spirit and effective communication skills to work seamlessly in a multi-functional team An ongoing commitment to learning and staying at the forefront of AI/ML advancements. Familiarity with data analytics and scientific computing platforms such as Databricks, Dash, Streamlit, RShiny, Spotfire, Tableau and related programming languages like SQL, python, R Preferred Qualifications: Demonstrated expertise in a scientific domain area and related technology needs Understanding of semantics and FAIR (Findability, Accessibility Interoperability and Reuse) data concepts Experience with cloud (e.g. AWS) and on-premise compute infrastructure Experience with scientific and technical team collaborations, ensuring seamless coordination across teams and driving the successful delivery of technical projects Experience creating impactful slide decks and communicating data Ability to deliver features meeting research user demands using Agile methodology We understand that to successfully sustain and grow as a global enterprise and deliver for patients we must ensure a diverse and inclusive work environment. Professional Certifications SAFe for Teams certification (preferred) SAFe Scrum Master or similar (preferred) Soft Skills: Strong transformation and change management experience. Exceptional collaboration and communication skills. High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented with a focus on achieving team goals. Strong presentation and public speaking skills. Equal opportunity statement .

Amgen India will be an integral part in driving growth & innovation, improving efficiency and creating enterprise value - supporting our mission To Serve Patients . The Amgen India Digital Technology & Innovation (DTI) Scientific Business Analyst (BA) role will primarily focus on analyzing scientific requirements from Global Research and translating them into efficient and effective information systems solutions. As a domain expert, the prospective BA collaborate with cross-functional teams to identify data product enhancement opportunities, perform data analysis, troubleshoot issues, and support system implementation and maintenance. Additionally, it will involve development of data product launch and user adoption strategy of Amgen Research Foundational Data Systems. Your expertise in business process analysis and technology will contribute to the successful delivery of IT solutions that drive operational efficiency and meet business objectives. This role requires expertise in biopharma scientific domains as well as informatics solution delivery. Additionally, extensive collaboration with global teams is required to ensure seamless integration and operational excellence. The ideal candidate will have a strong background in the end-to-end software development lifecycle and be a Scaled Agile practitioner, coupled with change management and transformation experience. This role demands the ability to deliver against key organizational strategic initiatives, foster a collaborative environment, and deliver high-quality results in a matrixed organizational structure. Roles & Responsibilities: Collaborate with geographically dispersed teams, including those in the US, EU and other international locations. Partner and ensure alignment of the Amgen India DTI site leadership and follow global standards and practices. Foster a culture of collaboration, innovation, and continuous improvement. Function as a Scientific Business Analyst, providing domain expertise for Research Data and Analytics within a Scaled Agile Framework (SAFe) product team Serve as Agile team scrum master or project manager as needed Serve as a liaison between global DTI functional areas and global research scientists, prioritizing their needs and expectations Create functional analytics dashboards and fit-for-purposes applications for quantitative research, scientific analysis and business intelligence (Databricks, Spotfire, Tableau, Dash, Streamlit, RShiny) Manage a suite of custom internal platforms, commercial off-the-shelf (COTS) software, and systems integrations Translate complex scientific and technological needs into clear, actionable requirements for development teams Develop and maintain release deliverables that clearly outlines the planned features and enhancements, timelines, and milestones Identify and manage risks associated with the systems, including technological risks, scientific validation, and user acceptance Develop documentations, communication plans and training plans for end users Ensure scientific data operations are scoped into building Research-wide Artificial Intelligence/Machine Learning capabilities Ensure operational excellence, cybersecurity and compliance. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Doctorate degree OR Master s degree and 4 to 6 years of Life Science / Biotechnology / Pharmacology / Information Systems experience OR Bachelor s degree and 6 to 8 years of Life Science / Biotechnology / Pharmacology / Information Systems experience OR Diploma and 10 to 12 years of Life Science / Biotechnology / Pharmacology / Information Systems experience Preferred Qualifications: BS, MS or PhD in Bioinformatics, Computational Biology, Computational Chemistry, Life Sciences, Computer Science or Engineering 3+ years of experience in implementing and supporting biopharma scientific research data analytics Functional Skills: Must-Have Skills: Excellent problem-solving skills and a passion for tackling complex challenges in drug discovery with technology and data Excellent communication skills and experience creating impactful slide decks with data Collaborative spirit and effective communication skills to work seamlessly in a cross-functional team Familiarity with data analytics and scientific computing platforms such as Databricks, Dash, Streamlit, RShiny, Spotfire, Tableau and related programming languages like SQL, python, R. Good-to-Have Skills: Demonstrated expertise in a scientific domain area and related technology needs Understanding of semantics and FAIR (Findability, Accessibility Interoperability and Reuse) data concepts Understanding of scientific data strategy, data governance, data infrastructure Experience with cloud (e.g. AWS) and on-premise compute infrastructure Familiarity with advanced analytics, AI/ML and scientific computing infrastructure, such as High Performance Compute (HPC) environments and clusters (e.g SLURM, Kubernetes) Experience with scientific and technical team collaborations, ensuring seamless coordination across teams and driving the successful delivery of technical projects Ability to deliver features meeting research user demands using Agile methodology An ongoing commitment to learning and staying at the forefront of AI/ML advancements. We understand that to successfully sustain and grow as a global enterprise and deliver for patients we must ensure a diverse and inclusive work environment. Professional Certifications SAFe for Teams certification (preferred) SAFe Scrum Master or similar (preferred) Soft Skills: Strong transformation and change management experience. Exceptional collaboration and communication skills. High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented with a focus on achieving team goals. Strong presentation and public speaking skills. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Equal opportunity statement

Let s do this. Let s change the world. The Product Analyst position offers a unique opportunity to join a fun, innovative engineering team within the Enterprise Data Strategy and Engineering (EDSE) organization. You ll work on building next-generation capabilities and services in Data and AI using innovative open-source software, frameworks, tools, and cloud computing services. The role also emphasizes demonstrating these capabilities to support critical business operations and initiatives, ensuring alignment with organizational priorities. We are seeking a detail-oriented and analytical Product Analyst with a strong background in Business Intelligence (BI) and reporting to support data-driven decision-making across our product teams. You will be responsible for gathering requirements for transforming data into actionable insights, building dashboards, and collaborating with cross-functional teams to enhance product performance and user experience. You will work closely with business team and you will need to play a key role in the Go-to-Market (GTM) strategy, ensuring seamless product launches, aligning messaging with customer needs. Acting as the Voice of the Customer, you will collaborate internally within Product Management and with Product Engineering, and the GTM teams to drive product adoption and deliver optimal outcomes Help design, develop, and maintain BI dashboards and reports using tools like Power BI, Tableau, or Looker. Collaborate with business, product managers, engineers, and stakeholders to define KPIs and success metrics. Translate business requirements into technical specifications for reporting and analytics Customer Insights & Experience: Develop a deep understanding of both data and related metrics to help customer with best possible representation of reports and dashboards Engage directly with customers at key touchpoints, gaining insights into their interactions with BI reports and dashboards. Build and foster an active user community, facilitating knowledge-sharing and enhancing the adoption of data and AI products. Go-to-Market (GTM) Strategy: Collaborate with Product Management to implement comprehensive GTM strategies for data and AI products. Align GTM messaging and product positioning with organizational needs, enabling effective adoption and broader applicability of solutions Support the launch of new products and features, working closely with multi-functional teams to ensure GTM plans are well-executed and drive product adoption. Support & Advocacy: Provide Last Mile Support and Solutions on Demand for both data, ensuring prompt resolution of customer challenges and delivering a seamless user experience. Assist in user onboarding and training, ensuring users fully understand how to demonstrate the platform s data capabilities. Identify and develop brand ambassadors within the customer base to advocate for the product s unique benefits. Provide targeted support for unique business requirements, enabling seamless integration of data capabilities into broader operational frameworks Product Performance & Data Analysis: Monitor and analyze product performance metrics using advanced analytics to gain insights into customer behavior and product usage. Work closely with engineering, product management, and other teams to ensure the successful execution of product goals, focusing on data, analytics, and AI-driven innovations. The insights and optimizations from product analytics will ensure alignment with overarching business goals and operational priorities, supporting scalable and impactful outcomes. What we expect of you Any degree and 8 to 13 years of experience in relevant field Basic Qualifications: 8-13 years of experience in a product analyst role, especially with BI reporting and dashboards, and a focus on GTM execution. Worked with different BI tools such as Power BI, Tableau etc. Experience of working closely with data engineering. Experience in GTM strategy development and execution, with a track record of supporting product launches and ensuring right dashboards are provided. Strong skills in Excel and hands-on experience with Agile methodologies (Scrum/SAFe). Excellent communication and social skills, with the ability to work collaboratively with cross-functional GTM, product, and engineering teams. Knows SQL. Preferred Qualifications: Have worked on BI tools previously.. Familiarity with data transformations, visualizations, AI platforms, and cloud-based data solutions. Ability to work effectively across matrixed organizations and lead collaboration between data and AI teams. Passion for technology and customer success, particularly in driving innovative AI and data solutions. Experience in services or consulting related to data and AI products is a plus, and familiarity with biotech/pharma is beneficial. Soft Skills: Excellent analytical and solving skills. Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to handle multiple priorities successfully. Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

Let s do this. Let s change the world. In this vital role you will be responsible for designing, building, maintaining, analyzing, and interpreting data deliver actionable insights that drive business decisions. This role involves working with large datasets, developing reports, supporting and driving data governance initiatives, and visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has deep technical skills and provides administration support for Master Data Management (MDM) and Data Quality platform, including solution architecture, inbound/outbound data integration (ETL), Data Quality (DQ), and maintenance/tuning of match rules. Roles & Responsibilities: Design, develop, and maintain data solutions for data generation, collection, and processing Collaborate and communicate with MDM Developers, Data Architects, Product teams, Business SMEs, and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions Identify and resolve complex data-related challenges Adhere to standard processes for coding, testing, and designing reusable code/component Participate in sprint planning meetings and provide estimations on technical implementation As a SME, work with the team on MDM related product installation, configuration, customization and optimization Responsible for the understanding, documentation, maintenance, and additional creation of master data related data-models (conceptual, logical, and physical) and database structures Review technical model specifications and participate in data quality testing Collaborate with Data Quality & Governance Analyst and Data Governance Organization to monitor and preserve the master data quality Create and maintain system specific master data data-dictionaries for domains in scope Architect MDM Solutions, including data modeling and data source integrations from proof-of-concept through development and delivery Develop the architectural design for Master Data Management domain development, base object integration to other systems and general solutions as related to Master Data Management Develop and deliver solutions individually or as part of a development team Approves code reviews and technical work Maintains compliance with change control, SDLC and development standards Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions Collaborate with multi-functional teams to understand data requirements and design solutions that meet business needs Implement data security and privacy measures to protect sensitive data Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Master s degree and 1 to 3 years of Computer Science, IT or related field experience OR Bachelor s degree and 3 to 5 years of Computer Science, IT or related field experience OR Diploma and 7 to 9 years of Computer Science, IT or related field experience. Preferred Qualifications: Expertise in architecting and designing Master Data Management (MDM) solutions. Practical experience with AWS Cloud, Databricks, Apache Spark, workflow orchestration, and optimizing big data processing performance. Familiarity with enterprise source systems and consumer systems for master and reference data, such as CRM, ERP, and Data Warehouse/Business Intelligence. At least 2 to 3 years of experience as an MDM developer using Informatica MDM or Reltio MDM, along with strong proficiency in SQL. Good-to-Have Skills: Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model development. Good understanding of data modeling, data warehousing, and data integration concepts. Experience with development using Python, React JS, cloud data platforms. Certified Data Engineer / Data Analyst (preferred on Databricks or cloud environments). Soft Skills: Excellent critical-thinking and problem-solving skills Good communication and collaboration skills Demonstrated awareness of how to function in a team setting Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

Let s do this. Let s change the world. In this vital role you will be our expert to provide day-to-day Cost accounting and/or Intercompany operations support and you will be responsible for delivering a timely and high-quality accounting close. The focus of this role will be to implement various processes within the Cost accounting and Intercompany functional teams. As our Manager Cost Accounting/Intercompany you will ensure US GAAP and statutory reporting compliance. The ideal candidate is expected to have advanced knowledge in accounting, be results focused and thrive under pressure. Roles & Responsibilities: The Manager Intercompany and Cost Accounting will be responsible for several activities including but not limited to the following: Maintaining Cost Accounting master data including standard costs and other processes that can be identified for centralized management. Maintaining Global master data for Intercompany transactions including customer and vendor setup and maintenance. Preparing Intercompany Billing and Transfer Price Adjustments. Engaging with External Services Provider to coordinate and monitor activities and results, review work, and address issues on a timely basis. Reconciliation of relevant general ledger accounts (e.g. goods in transit). Managing internal controls to ensure quality standards and compliance requirements are met. Partnering with Corporate groups, such as Tax, Treasury, Supply Chain, Disbursements, and Information Systems to ensure proper accounting of inter-company related transactions. Identify and drive standardization of procedures/processes ensuring improved cost efficiency and appropriate quality & compliance. Provide direction on continuous improvement ideas and initiatives. Provide audit/reporting support for requests from Corporate External Reporting, Corporate Audit, External Auditors, Tax Compliance and Statutory Financials process by country affiliates. Support ERP and automation implementations to ensure proper design, documentation, testing, and training of personnel. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Doctorate degree OR Master s degree and 4 to 6 years of Finance experience OR Bachelor s degree and 6 to 8 years of Finance experience OR Diploma and 10 to 12 years of Finance experience Knowledge of financial management and accounting principles. Strong understanding of compliance and regulatory requirements. Experience with ERP systems and financial software. Resourceful leader who can connect the dots across matrixed organization Managerial and financial experience in a global, multi-site corporation Preferred Qualifications: Advanced degree in finance, accounting, or MBA Chartered Accountant (Certified public accountant), CMA, CFE or other professional certification relevant to the accounting profession. Extensive accounting and FP&A experience Experience supporting cross functional senior leaders of an organization Experience in preparing executive communication to include written and oral presentations Ability to manage multiple competing priorities in parallel Familiarity with the pharmaceutical/biotech industry. Experience with global finance operations. Proficiency in data analytics and business intelligence tools. Business performance management Finance transformation experience involving recent technology advancements Prior multinational capability center experience Experience with SAP (ECC and/or S4), Blackline, Workiva, Tableau/PowerBI Soft Skills: Excellent leadership and team management abilities. Strong communication and interpersonal skills. High level of integrity and ethical standards. Problem-solving and critical thinking capabilities. Ability to influence and motivate change. Adaptability to a dynamic and fast-paced environment. Strong organizational and time management skills. Ability to manage multiple competing priorities in parallel What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

Career Category Safety Job Description Join Amgen s Mission of Serving Patients At Amgen, if you feel like you re part of something bigger, it s because you are. Our shared mission to serve patients living with serious illnesses drives all that we do. Since 1980, we ve helped pioneer the world of biotech in our fight against the world s toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lie within them, you ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Group Purpose: Post Market Surveillance & Trending group is responsible for conducting science-driven evaluations to assess the safety and quality of Amgen s combination products, medical devices, companion diagnostics, and digital health products. The group is responsible for post market surveillance, product complaints trending and data analytics. Additionally, the group analyses the potential impact of quality issues on patient/user safety across these products. Job Summary: The ISM Engineer is responsible for performing product complaints statistical excursion trending deep dives. Prepares product complaints and/or adverse events data to support ad-hoc analysis and regulatory inquiries, as well as generate process metrics to support process surveillance activities. Key Activities: Performs product complaints statistical excursion trending deep dives Understand customer / patient use of Amgen s packaged and/or distributed mechanical and/or electromechanical products Understand manufacturing processes for Amgen s packaged and/or distributed products. Maintain close interaction with multiple functions including Quality (e.g. complaints, device quality, product quality, external supplier quality, manufacturing quality, quality engineering) and contribute to product / device design improvements Collaborate with other safety functions to support integrated surveillance of Amgen products from both quality and safety s perspectives Prepares and interprets adverse events and product complaints data supporting integrated product surveillance activities Prepares product and process surveillance metrics for internal safety and quality governance forums Pulls complaints and/or adverse events data to support ad-hoc analysis and regulatory inquiries Perform data verification of complaints data pulled for inspection requests Applies analytical skills to evaluate complex situations using multiple sources of information Contribute to technology innovation initiatives related to post market surveillance, including AI/ML and automation opportunities Contribute to improvements in trending methodologies and process improvement opportunities Support audits and inspections as appropriate Knowledge and Skills Required Knowledge and Skills: Quality and/or manufacturing experience in biotech or pharmaceutical industry Complaints or complaints trending within a development, manufacturing, or post-market environment Knowledge of product complaints and adverse events intake and processing process Ability to pull and create product complaints and/or adverse events data per request Knowledge of medical devices or combination products, ideally Class II and Class III Data querying skills and experience with data visualizations tools such as Tableau, Power BI, or Python Preferred Knowledge and Skills: Proven experience with mechanical and/or electromechanical medical devices Knowledge of combination products and medical devices, including device safety monitoring regulations and standards Ability to perform data analysis and derive insights Education & Experience (Preferred) Degree in Engineering or Life Science 5-9 years of quality and/or manufacturing experience as an engineer in the biotech or pharmaceutical industry 2+years of experience in complaints or complaints trending within a development, manufacturing or post-market environment, working with medical devices or combination products, ideally Class II and Class III Experience with statistical trending methodology, preferably complaints Strong data analysis experience and a passion for finding correlations across different datasets Experience with data querying and business intelligence tools Strong presentation and teamwork skills What you can expect from us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

Let s do this. Let s change the world. In this vital role you will be an integral part in driving growth & innovation, improving efficiency and creating enterprise value - supporting our mission To Serve Patients . The Amgen India Digital Technology & Innovation (DTI) Sr. Associate IS Data Engineer role will be part of the development team under the Scaled Agile Framework (SAFe) Medical Data Analytics and Insights Product Team and primarily focus on delivering Analytics capabilities across Global Medical business organization. The selected individual will engage with business users, architect, validation engineers, platform teams, product owner and the members of development team to develop and deliver analytics needs and enhancements. This role requires expertise in data integration solution delivery using different technology platforms like Databricks, Tableau, CI/CD, GitLab and AWS Services. Additionally, collaboration with various global teams is required to ensure seamless integration and operational excellence. The ideal candidate will have a strong data integration background in the end-to-end software development lifecycle and be a Scaled Agile practitioner. This role demands the ability to drive and deliver against key organizational strategic initiatives, foster a collaborative environment, and deliver high-quality results in a matrixed organizational structure. Roles & Responsibilities: Function as a Digital Technology Data and Analytics Data Engineer within a Scaled Agile Framework (SAFe) product team As member of Global Medical Data and Analytics Product team, ensure progress to business needs in a cost effective, compliant, reliable way Use data, AI and metrics to understand trends in user behavior and product usage to influence strategy Integrate data and develop integration queries, ETL pipelines in Databricks datalake environment. Lead data analysis and insights user stories and utilize existing CI/CD delivery pipeline and processes - streamlining current processes with a focus on automation Communicate software and system designs using Miro, Lucid Chart, or other modeling tools and software. Develop Test classes and automation to validate business logic and avoid production issues Work closely with other developers in PRODUCT SCRUM team including business analyst, software engineers, Validation analyst and Product Owner Research AI/LLM based solutions and Drive Proof of Concepts to suit business requirements, Stay abreast of the latest trends in DevOps methodologies and emerging industry solutions Participate and develop business prioritized Data and Analytics matrix and user stories using Databricks environment Familiarity with AWS Services and other cloud technologies Develop technical design and business documentations for end users Developing a deep understanding of the product and the customer experience Talking to customers at pivotal points of the customer journey and distilling insights on what customers value most Debug and solve inbound customer challenges quickly and always to the customer s satisfaction What we expect of you We are all different, yet we all use our unique contributions to serve patients. The [vital attribute] professional we seek is a [type of person] with these qualifications. Basic Qualifications: Masters degree / Bachelors degree and 5 to 9 years of Information Systems experience. Preferred Qualifications: 3+ years of experience in developing, implementing and supporting Data and Analytics Data Lake systems, analytics/reporting and metrics/visualization tools Experience using Databricks platform developing integration pipelines, SFDC APIs, REST based web services, SQL, XML, and JavaScript Extensive hands-on technical and engineering experience with building REACT based UI solutions Experience working in BI environments like Tableau / Power-BI etc. Experience developing in an enterprise environment with numerous applications, development teams, in an AGILE framework Understand AWS services, Security frameworks and AI/LLM base models Functional Skills: Must-Have Skills (Not more than 3 to 4): Ability to handle multiple projects simultaneously and prioritize tasks effectively Excellent problem-solving skills and a passion for tackling complex challenges Collaborative spirit and effective communication skills to work seamlessly in a cross-functional team An ongoing commitment to learning and staying at the forefront of AI, Business Intelligence (BI)/ ML advancements. Good-to-Have Skills: Hands-on technical development experience in delivering Data and Analytics projects in a fast-paced, multi-client environment Experience with technology systems: Veeva CRM, Content Management Systems (CMS), AWS, Google Analytics, Salesforce, etc Knowledgeable of analytics and design Principals SAFe Agile experienced Strong interpersonal and communication skills Experience with Project management software including JIRA, Confluence, Smartsheet Experience managing between onshore/offshore development teams Quick learner of existing and new AI/ML technologies and infrastructure Experience operating in a regulated business environment and adhering to mandatory compliance requirements preferred Pharmaceutical experience preferred Professional Certifications (please mention if the certification is preferred or mandatory for the role): SAFe for Teams certification (preferred) AWS Developer/User (preferred) Soft Skills: Excellent analytical and troubleshooting skills. Exceptional collaboration and communication skills. High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented with a focus on achieving team goals. Strong presentation and public speaking skills. Equal opportunity statement .

Career Category Information Systems Job Description Amgen s Precision Medicine technology te am is responsible for building Data Searching, Cohort Building, and Knowledge Management tools that provide the Amgen scientific community with visibility to Amgen s wealth of human datasets, projects and study histories, and knowledge over various scientific findings. These data include multiomics data (genomics, transcriptomics, proteomics, etc.), clinical study subject measurement and outcome data, images, and specimen inventory data . Our PMED data management , standardization, surfacing, and processing capabilities are pivotal tools in Amgen s goal to accelerate the speed of discovery, and speed to market of advanced precision medications . The Solution and Data Architect will be responsible for the end-to-end architecture of an enterprise analytics and data mastering solution leveraging Databricks and Power BI. This role requires expertise in both data architecture and analytics, with the ability to create scalable, reliable, and high-performing enterprise solutions that research cohort-building and advanced research pipeline . The ideal candidate will have experience creating and surfacing large unified repositories of human data, based on integrations from multiple repositories and solutions. You will collaborate closely with stakeholders across departments, including data engineering, business intelligence, and IT teams, to design and implement data models, integrate data from various sources, and ensure best practices for data governance and security. The ideal candidate will have a strong background in data warehousing, ETL, Databricks, Power BI, and enterprise data mastering. Roles & Responsibilities: Architect scalable enterprise analytics solutions using Databricks, Power BI, and other modern data tools. Leverage data virtualization, ETL, and semantic layers to balance need for unification, performance, and data transformation with goal to reduce data proliferation Support development planning by break ing down features into work that aligns with the architectural direction runway Participate hands-on in pilots and proofs-of-concept for new patterns Create robust documentation of architectural direction, patterns, and standards Present and train engineers and cross-team collaborators on architecture strategy and patterns Collaborate with data engineers to build and optimize ETL pipelines, ensuring efficient data ingestion and processing from multiple sources. Design robust data models , and processing layers, that support both analytical processing and operational reporting needs. Develop and implement best practices for data governance, security, and compliance within Databricks and Power BI environments. Ensure the integration of data systems with other enterprise applications, creating seamless data flows across platforms. Provide thought leadership and strategic guidance on data architecture, advanced analytics, and data mastering best practices. Develop and maintain Power BI solutions, ensuring data models and reports are optimized for performance and scalability. Serve as a subject matter expert on Power BI and Databricks, providing technical leadership and mentoring to other teams. Collaborate with stakeholders to define data requirements, architecture specifications, and project goals. Continuously evaluate and adopt new technologies and methodologies to enhance the architecture and performance of data solutions. Basic Qualifications and Experience: Master s degree with 6 to 8 years of experience in data management and data solution architecture Bachelor s degree with 8 to 10 years of experience in in data management and data solution architecture Diploma and 10 to 12 years of experience in in data management and data solution architecture Functional Skills: Must-Have Skills : Minimum of 3 years of hands-on experience with BI solutions (Preferable Power BI or Business Objects) including report development, dashboard creation, and optimization. Minimum of 7 years of hands-on experience building Change-data-capture (CDC) ETL pipelines, data warehouse design and build, and enterprise-level data management. Hands-on experience with Databricks, including data engineering, optimization, and analytics workloads. Deep understanding of Power BI, including model design , DAX, and Power Query. Proven experience designing and implementing data mastering solutions and data governance frameworks. Expertise in cloud platforms ( AWS ), data lakes, and data warehouses. Strong knowledge of ETL processes, data pipelines, and integration technologies. Strong communication and collaboration skills to work with cross-functional teams and senior leadership. Ability to assess business needs and design solutions that align with organizational goals. Exceptional h ands - on capabilities with data profiling, data transformation, data mastering Success in mentoring and training team members Good-to-Have Skills: Experience in developing differentiated and deliverable solutions Experience with human data, ideally human healthcare data Familiarity with laboratory testing, patient data from clinical care, HL7, FHIR, and/or clinical trial data management Professional Certifications (please mention if the certification is preferred or mandatory for the role): ITIL Foundation or other relevant certifications (preferred) SAFe Agile Practitioner (6.0) Microsoft Certified: Data Analyst Associate (Power BI) or related certification. Databricks Certified Professional or similar certification. Soft Skills: Excellent analytical and troubleshooting skills Deep intellectual curiosity High est degree of initiative and self-motivation Strong verbal and written communication skills , including presentation to varied audiences of complex technical/business topics Confidence technical leader Ability to work effectively with global, virtual teams , specifically including leveraging of tools and artifacts to assure clear and efficient collaboration across time zones Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong problem solving, analytical skills; Ability to learn quickly and retain and synthesize complex information from diverse sources .

As a Business Intelligence Engineer, you will solve unique and complex problems at a rapid pace, utilizing the latest technologies to create solutions that are highly scalable. This role involves working closely with product managers, designers, and other engineers to create high-quality, scalable solutions and responding to requests for rapid releases of analytical outcomes. Design, develop, and maintain interactive dashboards, reports, and data visualizations using BI tools (e.g., Power BI, Tableau, Cognos, others). Analyse datasets to identify trends, patterns, and insights that inform business strategy and decision-making. Partner with leaders and stakeholders across Finance, Sales, Customer Success, Marketing, Product, and other departments to understand their data and reporting requirements. Stay abreast of the latest trends and technologies in business intelligence and data analytics, inclusive of AI use in BI. Elicit and document clear and comprehensive business requirements for BI solutions, translating business needs into technical specifications and solutions. Collaborate with Data Engineers to ensure efficient up-system transformations and create data models/views that will hydrate accurate and reliable BI reporting. Contribute to data quality and governance efforts to ensure the accuracy and consistency of BI data. What we expect of you Basic Qualifications: Master s degree and 1 to 3 years of Computer Science, IT or related field experience OR Bachelor s degree and 3 to 5 years of Computer Science, IT or related field experience OR Diploma and 7 to 9 years of Computer Science, IT or related field experience Functional Skills: 1+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Preferred Qualifications: Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets AWS Developer certification (preferred) Soft Skills: Excellent analytical and troubleshooting skills Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way.

Let s do this. We are seeking an experienced Senior BI Engineer to lead the design, development, and optimization of scalable business intelligence (BI) solutions that empower data-driven decision-making across the organization. The ideal candidate is highly skilled in data modeling, dashboard development, ETL design, and cloud-based BI platforms, with a passion for turning complex data into clear, actionable insights. As a senior member of the BI team, you will work closely with data engineers, analysts, business stakeholders, and product teams to deliver robust, user-friendly analytics solutions that support strategic and operational goals. Roles & Responsibilities: Design, develop, and maintain enterprise-grade BI dashboards and reports using tools like Power BI, Tableau, or Looker. Build and optimize semantic models, tabular data structures, and reusable datasets for self-service BI users. Partner with business stakeholders to translate requirements into technical solutions, delivering accurate, relevant, and timely insights. Work closely with data engineering teams to integrate BI solutions into data lake, warehouse, or lakehouse architectures (e.g., Snowflake, Redshift, Databricks, BigQuery). Implement best practices for BI development, including version control, performance optimization, and data governance. Ensure BI solutions are secure, scalable, and aligned with enterprise data governance standards. Mentor junior BI developers and analysts, setting standards for dashboard usability, data visualization, and design consistency. Collaborate with cross-functional teams to promote self-service BI adoption and data literacy throughout the organization. Monitor BI performance, usage, and adoption, providing continuous improvements and training to enhance impact. Must-Have Skills: 5 - 8 years of experience in BI development and data visualization, with deep expertise in tools such as Power BI, Tableau, or Looker. Strong knowledge of SQL, data modeling techniques, and BI architecture best practices. Experience working with data warehouses and cloud data platforms Proficiency in building dashboards, KPIs, and executive-level reporting that align with business priorities. Solid understanding of ETL/ELT processes, data pipelines, and integration with BI tools. Strong collaboration skills with the ability to work effectively across engineering, product, finance, and business teams. Excellent communication skills, with a proven ability to translate technical concepts into business value. Good-to-Have Skills: Experience in cloud platforms (AWS, Azure, or GCP) and modern data stack environments. Familiarity with data governance, data cataloging, metadata management, and access control. Exposure to Agile methodologies, CI/CD for BI, and DevOps practices. BI or data certifications (e.g., Microsoft Certified: Power BI Data Analyst, Tableau Certified Professional). Education and Professional Certifications Master s degree and 3 to 4 + years of Computer Science, IT or related field experience OR Bachelor s degree and 5 to 8 + years of Computer Science, IT or related field experience PowerBI / Tableau certifications preferred Scaled Agile SAFe certification preferred Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals. Ability to learn quickly, be organized and detail oriented. Strong presentation and public speaking skills. EQUAL OPPORTUNITY STATEMENT .