1361 Data Governance Jobs - Page 48

We are looking for a highly skilled and experienced SAP Information Steward Consultant to join our team. The ideal candidate will have a strong background in SAP Information Steward and data governance, with 7-10 years of experience. ### Roles and Responsibility Review existing functional and non-functional requirements to ensure they contain all relevant design and architecture components. Enhance current design and proposed architecture for efficient integration with SAP Mercury Data Services and the Information Steward landscape. Optimize IS configuration to maximize benefits and value from the data governance program. Migrate existing data quality assessments and validation rules to a reusable and automated IS environment. Conduct training and create user guides for EY analysts and data stewards. Collaborate with stakeholders to deliver training and on-the-job knowledge transfer. ### Job Requirements Proven track record of multiple successful SAP Information Steward deployments with an in-depth understanding of all IS features. Strong communication, guidance, collaboration, and consulting skills, along with project management and status reporting abilities. At least 7 years of experience in SAP Hana, BODS, BW, M365 environment, and PowerBi Reporting. Ability to work across assurance, consulting, law, strategy, tax, and transactions. Qualifications: Any Graduate or Postgraduate degree.

We are looking for a highly skilled and experienced Senior Data Engineer to join our team, with 3-7 years of experience in modern data ecosystems. The ideal candidate will have hands-on proficiency in Informatica CDI, Azure Data Factory (ADF), Azure Data Lake (ADLS), and Databricks. ### Roles and Responsibility Provide daily Application Management Support for the full data stack, addressing service requests, incidents, enhancements, and changes. Lead and coordinate resolution of complex data integration and analytics issues through thorough root cause analysis. Collaborate with technical and business stakeholders to support and optimize data pipelines, models, and dashboards. Maintain detailed documentation including architecture diagrams, troubleshooting guides, and test cases. Remain flexible for shift-based work or on-call duties depending on client needs and critical business periods. Ensure seamless operation of data platforms and timely resolution of incidents. ### Job Requirements Bachelor’s degree in Computer Science, Engineering, Data Analytics, or related field, or equivalent work experience. Strong understanding of data governance, performance tuning, and cloud-based data architecture best practices. Excellent stakeholder collaboration skills to translate business needs into scalable technical solutions. Solid understanding of data pipeline management and optimization techniques. Experience integrating data from various sources including ERP, CRM, POS, and third-party APIs. Familiarity with DevOps/CI-CD pipelines in a data engineering context. Certifications such as Informatica Certified Developer, Microsoft Certified: Azure Data Engineer Associate, and Databricks Certified Data Engineer are preferred. Passionate, proactive problem solvers with a strong client orientation. Professionals eager to learn and grow in a fast-paced, global delivery environment. A chance to work alongside a world-class, multidisciplinary team delivering data excellence to global businesses.

We are looking for a highly skilled and experienced Manager to lead our Master Data Management team. The ideal candidate will have a strong background in data management, governance, and architecture, with excellent analytical, problem-solving, and communication skills. ### Roles and Responsibility Design and implement the overall MDM architecture and interfaces, including critical data integration, modeling, and migration. Develop and maintain data standards, processes, and policies to ensure data accuracy, consistency, and completeness. Collaborate with IT and other departments to ensure system integration and data flow. Manage data migration and transformation processes to ensure seamless data transitions. Ensure data quality and integrity across all business systems and resolve data-related issues. Establish and enforce data governance policies and procedures to maintain a trusted single source of accurate data. ### Job Requirements Proven experience in data management, data governance, and/or MDM. Strong knowledge of product, customer master data design as per TM Forum standards. Expertise in data handling to resolve any data issues. Good verbal and written communication skills in English, along with strong interpersonal, analytical, and problem-solving abilities. Experience in interacting with customers to understand business requirement documents and translating them into BI specifications and High- and Low-level design documents. Ability to lead and motivate a team, demonstrating leadership and management skills. Bachelor's/Master’s degree in a related field (e.g., data science, information technology, business administration). Knowledge of MDM tools and technologies, database management systems, and data integration platforms. A can-do attitude, taking ownership of projects to ensure timely delivery and scalable solutions through strong project management capabilities. Proactive solution-oriented mindset, ready to learn new technologies for client requirements. Exposure to different MDM products, with the ability to recommend the best-fit MDM product based on client requirements.

We are looking for a highly motivated and experienced Data Modeller – Manager Level specializing in Life Insurance accounts with 8-11 years of industry experience. The ideal candidate will lead data modelling efforts across various projects, driving the design, development, and governance of data architectures to support business intelligence, analytics, and operational data requirements. ### Roles and Responsibility Lead the development and governance of conceptual, logical, and physical data models to support data strategies for life insurance accounts. Oversee the implementation of RDBMS, operational data stores (ODS), data marts, and data lakes on SQL/NoSQL platforms, ensuring scalability and efficiency. Optimize data architectures and query performance by applying industry best practices and advanced modelling techniques. Collaborate with business stakeholders and IT teams to transform business requirements into comprehensive data strategies and architecture solutions. Establish and enforce data modelling standards and design practices that adhere to enterprise data governance policies. Define data flows and create data mappings to ensure seamless integration, enhanced data quality, and efficient reporting. Identify and recommend solutions for data infrastructure, security, automation, and interface design to support robust data ecosystems. Provide guidance and mentorship to teams, promoting best practices and maintaining consistency in data modelling across projects. Perform hands-on data modelling, design, performance tuning, and proof-of-concept (POC) development to validate models and solutions. Manage project timelines, mitigate risks, and address challenges to ensure on-time and successful delivery of data initiatives. ### Job Requirements Experience in executing and managing research and analysis of companies and markets, preferably from a commercial due diligence standpoint. Proven experience in data modelling within the insurance domain (Life Insurance is preferred). Strong expertise in designing and managing relational, dimensional, and NoSQL data models. Proficiency in data modelling tools and platforms (e.g., ER/Studio, ERwin, or similar). Deep understanding of data architecture principles, ETL processes, and data warehousing concepts. Knowledge of cloud platforms and technologies (Azure, AWS, or GCP) is a plus. Ability to manage multiple projects and collaborate with cross-functional teams. Excellent problem-solving, communication, and leadership skills. Good exposure to any ETL tools. Good knowledge about Life insurance. Understanding of Business Intelligence, Data Warehousing and Data Modelling. Must have led a team size of at least 4 members. Experience in Insurance domain. Prior Client facing skills, Self-motivated and collaborative.

We are looking for a skilled professional with 9 to 12 years of experience in cash management, treasury, and accounting to join our team as a Cash Management Specialist. The ideal candidate will have a strong background in these areas and excellent analytical skills. This position is based in Gurgaon. ### Roles and Responsibility Manage and execute cash management activities, including month-end closing and financial reporting. Reconcile and report banking transactions, accounting, and related financial reporting. Ensure compliance with general internal controls, including SOX Law (Sarbanes Oxley Act) and company procedures. Perform data governance processes to ensure internal information controls are complied with by clients. Analyze and report monthly metrics to demonstrate performance against agreed SLAs. Collaborate with internal customers to resolve queries related to accounting issues. ### Job Requirements Bachelor's Degree in Commerce or Accounting required; professional qualification like CA / CMA / CS preferred. Minimum of 6 years of experience in cash management or treasury management, with bank reconciliation from both design and operational perspectives. Strong knowledge and experience in large-scale ERP systems and proficiency in Excel and other data manipulation and analytics tools. Excellent English communication skills and ability to work with different functional groups and levels of employees. Focus on service KPIs, including timeliness, quality, and high customer service, with limited supervision. Practical approach to solving complex problems, delivering insightful and practical solutions. Experience in a shared services environment or Treasury department with high volume of transactions. Ability to prioritize tasks effectively to meet requirements and deadlines. Prior experience in a global business services environment with exposure to multiple client departments and commercial and legal requirements. Ability to collaborate collaboratively to provide services across multiple client departments while following commercial and legal requirements. Agile, curious, mindful, positive energy, adaptable, and creative approach.

We are looking for a highly skilled Senior Analyst to join our Management Information (MI) Reporting team, focusing on Financial Crime. The ideal candidate will have 3-6 years of experience in MI reporting or data analysis, with a strong background in finance and compliance. ### Roles and Responsibility Develop, manage, and deliver comprehensive MI reports related to Financial Crime activities. Analyze trends, identify patterns, and provide insights into financial crime data, including transaction monitoring, fraud, and sanctions screening. Create and maintain dashboards, visualizations, and ad-hoc reports to support operational and strategic decisions. Collaborate with the FinCrime team to identify key performance indicators (KPIs) and metrics for monitoring financial crime risk. Support regulatory reporting requirements and assist with audits, ensuring compliance with internal and external standards. Continuously improve reporting processes to enhance accuracy, efficiency, and quality of MI data. Present findings and recommendations to senior stakeholders, including the management team, ensuring data-driven decision-making. Maintain up-to-date knowledge of industry trends and regulatory requirements in financial crime prevention. ### Job Requirements Bachelor's degree in Business, Finance, or a related field. Proven experience in MI reporting or data analysis, ideally within the financial crime, compliance sector, or finance. Strong proficiency in data analysis tools such as Advanced Excel, Basic SQL, and Intermediary Power BI. Possess strong analytical and problem-solving skills with keen attention to detail. Demonstrate the ability to communicate complex data insights to non-technical stakeholders. Experience working with large datasets and understanding data governance principles is required. Advanced certification or training in financial crime prevention (e.g., AML certification) is preferred. Experience in automating reporting processes and data workflows is desirable.

We are looking for a skilled Senior Data Systems Lead with 10-15 years of experience to oversee the support, enhancements, new development, and innovation of data systems within our organization. The ideal candidate will have extensive experience in data management, strong leadership skills, and a strategic mindset to drive the organization's data initiatives forward. ### Roles and Responsibility Lead and manage a team of IT professionals, including project managers, data technicians, developers, and database engineers. Develop and implement strategic plans for data systems and projects, aligning with organizational goals. Oversee the design, development, and maintenance of data-oriented systems, ensuring they meet business requirements and performance standards. Manage data projects from inception to completion, including planning, execution, monitoring, and reporting. Ensure data systems are secure, reliable, and scalable to support the organization's growth. Coordinate with cross-functional teams to define project scope, objectives, and deliverables. Provide mentorship and guidance to team members, fostering a collaborative and innovative work environment. Identify and mitigate risks associated with data projects and system enhancements. Provide technical support and troubleshooting for data systems, ensuring minimal downtime and disruption to business operations. Implement system enhancements and upgrades to improve performance, security, and functionality. Stay current with industry trends and emerging technologies to recommend and implement innovative solutions. Establish and enforce data governance policies and procedures to ensure data quality, integrity, and compliance with regulatory requirements. Collaborate with legal and compliance teams to ensure data systems adhere to relevant laws and regulations. Work closely with business stakeholders to understand their data needs and provide solutions that drive business value. Communicate effectively with senior management, providing regular updates on data projects, system performance, and strategic initiatives. ### Job Requirements Bachelor’s degree in Computer Science, Information Technology, Data Management, or a related field; a Master’s degree is preferred. Minimum of 10-15 years of experience in data management, IT management, or a related field. Proven experience in managing data-oriented systems and projects. Strong leadership and team management skills. Excellent project management skills, with a track record of delivering projects on time and within budget. In-depth knowledge of data governance, data security, and compliance standards. Proficiency in data management tools and technologies, such as SQL, ETL processes, data warehousing, and business intelligence tools. Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Flexibility and ability to work virtually across global time zones.

Manager- Enterprise Data- 4-8 years- Mumbai (Hybrid) LOCATION - Mumbai Future Employer- This global financial services organization operates as a strategic capability center supporting a leading investment and savings business headquartered in the UK. With a focus on delivering technology, data, operations, and customer service solutions, it plays a critical role in enabling business growth and operational efficiency across global markets. Primary Key Responsibilities: Collaborate with Data Owners, Data Stewards, and business/technology teams to populate the enterprise data catalogue. Work with stakeholders to define and create data quality rules within the chosen data quality tooling. Support the roll-out and adoption of data management tooling and marketplace across various business areas. Assist in the implementation of data management policies, standards, and procedures. Contribute to other data management activities as required to enhance the organization's data capabilities. Utilize SQL to query and analyze datasets for data profiling and validation. Effectively manage time, prioritize tasks, and organize work to ensure deadlines are met. Demonstrate a proactive approach to learning and a passion for making a tangible difference in data management practices. Requirements: Practical experience of working in a data governance/management team at a significant organization for 4+ years. Working experience in one or more data management tools such as Informatica Axon/IDQ/EDC, Collibra, Datactics, or Microsoft Purview. Good knowledge of SQL for querying and analyzing datasets. Effective time management, prioritization, and organizational skills. Demonstrated passion and enthusiasm to learn and contribute to data management initiatives. Bachelor's or Master's degree in IT. Experience working in the financial services / insurance industry (Desirable). Data Management certifications (a plus). What's in it for you? Opportunity to be part of a significant transformation program within a leading financial services organization. Exposure to cutting-edge data management tools and technologies. Collaborative work environment with opportunities to interact with various business and technology stakeholders. Be a key contributor in building and enhancing the organization's data governance and management capabilities. Potential for professional growth and development within the Enterprise Data team and M&G plc. Be part of an inclusive employer that values diversity and fosters a culture where difference is celebrated. Reach us If you feel this opportunity is well aligned with your career progression plans, please feel free to reach me with your updated profile at priya.bhatia @crescendogroup.in Disclaimer Crescendo Global is specializes in Senior to C-level niche recruitment. We are passionate about empowering job seekers and employers with an engaging memorable job search and leadership hiring experience. Crescendo Global does not discriminate on the basis of race, religion, color, origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Note We receive a lot of applications on a daily basis so it becomes a bit difficult for us to get back to each candidate. Please assume that your profile has not been shortlisted in case you don't hear back from us in 1 week. Your patience is highly appreciated.

Job Title - MC - Industry X Digital Engineering R&D + Level (Manager) + Entity (S&C Global Network) Management Level:07 - Manager Location:Bangalore/ Gurgaon/Pune/Mumbai Must have skills:Business Process Consulting Additional Skills: Problem definition, Architecture, Design, R&D, Innovation mgmt., PLM, BOM, Digital Twin and Thread space, Process Excellence, Digital Transformations, SAP PLM Packages (PDM functional knowledge and configuration, PPM, Master Data, EBOM, PS) with strong functional and implementation knowledge Job Summary :Looking for Self-Driven and Seasoned Senior Manager/Manager with exceptional skills in coordinating, organizing and supporting execution of transformations/improvements in PLM Programs for our clients and to build and grow Engineering and R&D Digitization team.As Senior Manager/Manager in Engineering and R&D Digitization, will need to work closely with leadership to define and deliver in the areas of PLM Enablement, BOM Management, Master Data Management and Digital Twin & Thread Roles & Responsibilities: Key responsibilities include: Lead Engineering and R&D Transformation Programs to drive Innovation and Process Enablement for the Clients Lead and Curate relevent assets, offering in PLM Enablement, Integrated BOM, Product & Engineering Master Data Management and Digital Twin and Thread areas and develop and execute Go To Market for the same along with Leadership In-depth understanding of Product Data Management and able to drive Product Journey with capabilities in defining PLM Roadmap, Process Design, Value Realization and PLM Maturity Assessment areas Experience in Master/Material Data Management and Data Migration Tools and solutions that meet our clients' needs in innovative ways. Enabling transformation in R&D utilizing the SAP PLM capabilities by creating business processes for Package/Product design, Bill of Material Management, Engineering Change Management, Product Research, Simulations, Prototyping, Product Testing (qualitative & quantitative) and supplier integration. Professional & Technical Skills: At least 10 years of experience in Business Process Consulting, problem definition, Architecture/Design /Detailing of Processes At least 7 years of experience in SAP PLM Packages (PDM functional knowledge and configuration, PPM, Master Data, EBOM, PS) with strong functional and implementation knowledge as well as general Project Management and Customer Management skills. At least 6 years of industry experience with SAP PLM package implementations which includes strong knowledge in configuration, Agile architecture and all its components. Experience in Classification Migration, Master Data Cleansing and Engineering Master Data experience is preferred. At least 5 years of experience in Configuration/solutions evaluation/ Validation and deployment Project Management Experience with strong communication and teamwork skills Ability to work in Global Environment using Onshore Offshore model Sensitivity and skill at working with different cultures and styles Rapidly learn and apply new engineering technologies and exposure to other PLM tools Additional Information: Experience of working in PLM, BOM, Master Data Management and Digital Twin and Thread space Expert in SAP PLM, Process Excellence, Data Governance, Digital Transformations and shaping end to end Engineering Transformations Concrete experience leading complex PLM Solution Design across multiple industries Ability to work in a rapidly changing environment where continuous innovation is desired. Analytical and quantitative skills and the ability to use hard data and metrics to back up assumptions and develop business cases. Ability to clearly communicate these data insights to others. General Manager / owner mentality, work closely with Team to deliver At least 6 years of industry experience with SAP PLM package implementations which includes strong knowledge in configuration, Agile architecture and all its components. Experience in Classification Migration, Master Data Cleansing and Engineering Master Data experience is preferred. At least 5 years of experience in Configuration/solutions evaluation/ Validation and deployment Project Management Experience with strong communication and teamwork skills Ability to work in Global Environment using Onshore Offshore model Sensitivity and skill at working with different cultures and styles Rapidly learn and apply new engineering technologies and exposure to other PLM tools Qualification Experience:Minimum 5 years of experience is requiredEducational Qualification:Engineering & MBA Preferred

Key Responsibilities: Develop, maintain, and optimize WebFocus reports and dashboards for various business functions Support BI initiatives through effective data extraction, transformation, and visualization using Tableau , Power BI , and Alteryx Collaborate with business units to understand reporting needs and translate them into functional BI solutions Write and optimize SQL queries to retrieve data from relational databases Ensure data accuracy, consistency, and alignment with enterprise reporting standards Identify trends, patterns, and insights from data sets to support decision-making Document processes, data definitions, and reporting logic for ongoing reference and governance Work in Agile/Scrum teams and contribute to iterative BI development cycles Required Skills & Qualifications: 3+ years of experience as a BI Analyst or similar role Strong hands-on experience with WebFocus (report development, dashboarding, and InfoAssist) Solid knowledge of SQL for querying and data manipulation Experience with Tableau , Alteryx , and/or Power BI for data visualization and workflow automation Understanding of data modeling, data governance, and report validation practices Ability to communicate insights effectively to both technical and non-technical stakeholders Strong problem-solving, analytical, and organizational skills Preferred Qualifications: Experience in the banking or financial services industry Familiarity with data warehouses and enterprise data platforms Basic knowledge of ETL processes and performance optimization techniques Exposure to cloud BI environments (AWS, Azure) Skills Role & responsibilities Preferred candidate profile

Job Summary The Lead, Data Architecture is responsible for designing, creating, deploying, and managing the organizations data architecture. This role focuses on data modeling, database design, frameworks and data integration to ensure the efficient and secure handling of data across the organization, as well as data governance. Collaborating closely with data engineers, analysts, business stakeholders, and tech teams, the Lead, Data Architecture is a key contributor to data, analytics and AI within the bank Key Responsibilities Contribute to the development and execution of the data architecture strategy, ensuring alignment with the bank s strategy on data, technology roadmap and business goals. Design and document data models, architectural patterns, and integration approaches. Evaluate and recommend data technologies, tools, platforms, and analytics tools. Ensure architectural consistency across domains and platforms. Collaborate with business and IT stakeholders to develop technology policies, standards, guidelines and best practices for effective data management and data governance aligned to the data governance and data management policies, standards and guidelines as defined by the Chief Data Office (CDO). Help communicate architectural decisions in a clear, business-relevant manner. Translate business requirements into technical data architecture solutions. Support the definition of strategic data roadmap. Skills and Experience Degree in Computer Science or equivalent with 20 or more years of total experience. Minimum 8 - 10 Years of experience in Architecture Knowledge of Client Data, Data Risk and compliance, Data warehousing, Reporting in Finance, Must have Banking Domain expertise. Expertise in designing logical, physical, and conceptual data models. Demonstrated experience in designing and implementing large-scale, enterprise level data systems. Understanding of data governance tools and frameworks and regulatory compliance standards Experience in large, complex organisations, ability to handle cultural diversity and managing senior stakeholders. Strong interpersonal skills to work effectively with technical and non-technical stakeholders. Experience in regulatory expertise like GDPR, AML, KYC, Financial Regulatory Reporting, and Core Banking is a critical differentiator. Strong knowledge of the banking and financial services industry. Qualifications Degree in Computer Science or equivalent experience About Standard Chartered Were an international bank, nimble enough to act, big enough for impact. For more than 170 years, weve worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If youre looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we cant wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, youll see how we value difference and advocate inclusion. Together we: Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What we offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential. www. sc. com/careers 26259

Support the Novartis Technical Operations (TechOps) - Lifecycle Implementation team in the leading and managing implementation product lifecycle projects such launch, transfer, change, divestment and pruning etc. in compliance with Good Manufacturing Practices (GMP) & Regulatory requirements while creating value for the stakeholders across Novartis divisions across geographies. Job Description Major accountabilities: Support and collaborate implementation of assigned product lifecycle projects / brands as per the relevant SOPs, business matrix and SLA timelines Assist in delivering and maintaining a detailed Change Over Plan (COP) for LC projects regarding implementation dates, according to the overall strategic project/ program plan Assist and support with a broad variety of stakeholders: Actively seek alignment with the experts from different functions (e.g. Supply Support Team (SST) members, CPO DRA, CPO demand planning, site tactical/ operational schedulers, Master Data Governance, Demand Management Centre, other Supply Chain functions) and is in close collaboration with Project Lead / Life Cycle Manager. Assist for the up-to-date assortment at SKU level of the assigned brands. Responsible for block management Assist in plans and execution of changeover activities with all involved functions and proactively addresses/resolves or escalates potential issues through the Project Lead or project team Assist in reporting all deviations through timely escalations. Responsible for block management Assist in data collection and reporting of KPIs Assist in continuous improvement initiatives Completion of Project / Thesis with guidance from Lead - LCI Completion of on job trainings imparted by the SME Grasping of Knowledge Session for better knowledge and understanding of business Key performance indicators: Quality / Accuracy / Right First Time Timeliness Productivity Cross functional training Skills Desired

We are seeking a highly skilled Lead Data Engineer to join our data engineering team for an on-premise environment. A large portion of your time will be in the weeds working alongside your team architecture, designing, implementing, and optimizing data solutions. The ideal candidate will have extensive experience in building and optimizing data pipelines, architectures, and data sets, with a strong focus on Python, SQL, Hadoop, HDFS, and Apache NiFi. What you ll be doing? Design, develop, and maintain robust, scalable, and high-performance data pipelines and data integration solutions. Manage and optimize data storage in Hadoop Distributed File System (HDFS). Design and implement data workflows using Apache NiFi for data ingestion, transformation, and distribution. Collaborate with cross-functional teams to understand data requirements and deliver efficient solutions. Ensure data quality, governance, and security standards are met within the on-premise infrastructure. Monitor and troubleshoot data pipelines to ensure optimal performance and reliability. Automate data workflows and processes to enhance system efficiency. Bachelor s degree in computer science, Software Engineering, or a related field 6+ years of experience in data engineering or a related field Strong programming skills in Python and SQL. Hands-on experience with Hadoop ecosystem (HDFS, Hive, etc.). Proficiency in Apache NiFi for data ingestion and flow orchestration. Experience in data modeling, ETL development, and data warehousing concepts. Strong problem-solving skills and ability to work independently in a fast-paced environment. Good understanding of data governance, data security, and best practices in on-premise environments. Good to Have: Experience with other big data tools like Spark, Kafka, etc.

Core skills and Competencies 1. Design, develop, and maintain data pipelines, ETL/ELT processes, and data integrations to support efficient and reliable data ingestion, transformation, and loading. 2. Collaborate with API developers, and other stakeholders to understand data requirements and ensure the availability, reliability, and accuracy of the data. 3. Optimize and tune performance of data processes and workflows to ensure efficient data processing and analysis at scale. 4. Implement data governance practices, including data quality monitoring, data lineage tracking, and metadata management. 5. Work closely with infrastructure and DevOps teams to ensure the scalability, security, and availability of the data platform and data storage systems. 6. Continuously evaluate and recommend new technologies, tools, and frameworks to improve the efficiency and effectiveness of data engineering processes. 7. Collaborate with software engineers to integrate data engineering solutions with other systems and applications. 8. Document and maintain data engineering processes, including data pipeline configurations, job schedules, and monitoring and alerting mechanisms. 9. Stay up-to-date with industry trends and advancements in data engineering, cloud technologies, and data processing frameworks. 10. Provide mentorship and guidance to junior data engineers, promoting best practices in data engineering and ensuring the growth and development of the team. 11. Able to implement and troubleshoot Rest services in Python.

ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. What you will do Role Description: We are seeking a Data Solutions Architect to design, implement, and optimize scalable and high-performance data solutions that support enterprise analytics, AI-driven insights, and digital transformation initiatives. This role will focus on data strategy, architecture, governance, security, and operational efficiency, ensuring seamless data integration across modern cloud platforms. The ideal candidate will work closely with engineering teams, business stakeholders, and leadership to establish a future-ready data ecosystem, balancing performance, cost-efficiency, security, and usability. This position requires expertise in modern cloud-based data architectures, data engineering best practices, and Scaled Agile methodologies. Roles & Responsibilities: Design and implement scalable, modular, and future-proof data architectures that support enterprise data lakes, data warehouses, and real-time analytics. Develop enterprise-wide data frameworks that enable governed, secure, and accessible data across various business domains. Define data modeling strategies to support structured and unstructured data, ensuring efficiency, consistency, and usability across analytical platforms. Lead the development of high-performance data pipelines for batch and real-time data processing, integrating APIs, streaming sources, transactional systems, and external data platforms. Optimize query performance, indexing, caching, and storage strategies to enhance scalability, cost efficiency, and analytical capabilities. Establish data interoperability frameworks that enable seamless integration across multiple data sources and platforms. Drive data governance strategies, ensuring security, compliance, access controls, and lineage tracking are embedded into enterprise data solutions. Implement DataOps best practices, including CI/CD for data pipelines, automated monitoring, and proactive issue resolution, to improve operational efficiency. Lead Scaled Agile (SAFe) practices, facilitating Program Increment (PI) Planning, Sprint Planning, and Agile ceremonies, ensuring iterative delivery of enterprise data capabilities. Collaborate with business stakeholders, product teams, and technology leaders to align data architecture strategies with organizational goals. Act as a trusted advisor on emerging data technologies and trends, ensuring that the enterprise adopts cutting-edge data solutions that provide competitive advantage and long-term scalability. What we expect of you Must-Have Skills: Experience in data architecture, enterprise data management, and cloud-based analytics solutions. Expertise in Databricks, cloud-native data platforms, and distributed computing frameworks. Strong proficiency in modern data modeling techniques, including dimensional modeling, NoSQL, and data virtualization. Experience designing high-performance ETL/ELT pipelines and real-time data processing solutions. Deep understanding of data governance, security, metadata management, and access control frameworks. Hands-on experience with CI/CD for data solutions, DataOps automation, and infrastructure as code (IaaC). Proven ability to collaborate with cross-functional teams, including business executives, data engineers, and analytics teams, to drive successful data initiatives. Strong problem-solving, strategic thinking, and technical leadership skills. Experienced with SQL/NOSQL database, vector database for large language models Experienced with data modeling and performance tuning for both OLAP and OLTP databases Experienced with Apache Spark Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops Good-to-Have Skills: Good to have deep expertise in Biotech & Pharma industries Experience with Data Mesh architectures and federated data governance models. Certification in cloud data platforms or enterprise architecture frameworks. Knowledge of AI/ML pipeline integration within enterprise data architectures. Familiarity with BI & analytics platforms for enabling self-service analytics and enterprise reporting. Education and Professional Certifications Doctorate Degree with 6-8 + years of experience in Computer Science, IT or related field OR Master’s degree with 8-10 + years of experience in Computer Science, IT or related field OR Bachelor’s degree with 10-12 + years of experience in Computer Science, IT or related field AWS Certified Data Engineer preferred Databricks Certificate 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. 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. EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. 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 an accommodation.

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 CertifiedData 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

MDM Business Performance Manager What you will do Let’s do this. Let’s change the world. In this vital role you will lead the optimization of master data processes across Amgen’s global operations, ensuring data quality, consistency, and governance. They are responsible for driving continuous improvement initiatives, and strategic projects, focusing on improving data accuracy, reducing process inefficiencies, and aligning data management practices with business objectives. This role will collaborate with IT, Supply Chain, and other key stakeholders to ensure that MDM processes support operational needs and regulatory compliance. Roles & Responsibilities: Lead the development and implementation of MDM governance frameworks and associated metrics/KPIs, ensuring alignment with regulatory and business requirements. Drive process automation and improvements to enhance data accuracy and reduce manual input errors. Lead all aspects of the integration of master data across systems and ensure consistency across Amgen’s global operations. Collaborate with IT, Supply Chain, and Commercial Operations to align data management practices with business needs. Handle key MDM projects, including system upgrades, process improvements, and data cleansing initiatives. Ensure compliance with industry regulations and internal policies. Provide leadership on MDM standard methodologies and serve as a subject matter expert for cross-functional teams. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Bachelor’s degree and 5-7 years of data management experience, with expertise in healthcare or biotech industries, and extensive knowledge of data governance frameworks (GDPR, HIPAA, GxP). Proven leadership in implementing and leading large-scale MDM processes and driving operational excellence initiatives to improve data quality, accuracy, and efficiency as evidenced by KPIs. Expert-level proficiency in SAP and enterprise data management tools (e.g., SAP MDG, Informatica) with experience leading complex system integrations and process optimizations. Strong communication and leadership skills, able to handle cross-functional teams and present data strategies and insights effectively to senior leadership. Advanced data analytics and visualization expertise (e.g., Power BI, Tableau) to drive actionable insights and decision-making across the organization. Preferred Qualifications: Must-Have Skills: Expertise in designing and handling MDM frameworks and KPIs, improving data quality, and streamlining processes across large-scale operations. Advanced knowledge of SAP, Informatica, and other enterprise data tools, with experience leading systems integration and automation initiatives. Strong leadership and communication skills, with the ability to lead diverse teams and collaborate with stakeholders across business units. Good-to-Have Skills: SAP S/4, SAP MDG, SAP TM Experience in Data Governance Project management experience 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 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. Apply now for a career that defies imagination Objects in your future are closer than they appear. Join us. 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.

ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. ABOUT THE ROLE Role Description You will play a key role in the implementation and adoption of the data governance framework which will modernize Amgen's data ecosystem, positioning Amgen as a leader in biopharma innovation. This role leverages state-of-the-art technologies, including Generative AI, Machine Learning, and integrated data . You will leverage domain, technical and business process expertise to provide exceptional support of Amgen’s data governance framework. This role involves working closely with business stakeholder and data analysts to ensure implementation and adoption of the data governance framework. You will collaborate with Product Data Owner s and data leaders to increase the trust and reuse of data across Amgen . Roles & Responsibilities Responsible for the adoption of data governance framework implementation for a given domain of expertise (Research, Development, Supply Chain, etc.). ? Responsible for the operationalization of the Enterprise data governance framework and aligning broader stakeholder community with their data governance needs, including data quality, data access controls, compliance with privacy and security regulations, foundational master data management, data sharing, communication and change management. ? Works with Enterprise MDM and Reference Data to enforce standards and data reusability. Drives cross functional alignment in his/her domain(s) of expertise to ensure adherence to Data Governance principles. ? D evelop s policies for data, metadata, privacy, lineage, access, security, retention, and archival. Maintain documentation on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for assigned domains. ? Ensure compliance requirements with data privacy, security, and regulatory policies for the assigned domains ? Jointly with Technology teams, business functions, and enterprise teams (e.g., MDM, Enterprise Data Fabric, etc.) define the specifications shaping the development and implementation of data foundations?. Build strong relationship with key business leads and partners to ensure their needs are met . Functional Skills: Must-Have Functional Skills: Technical skills (Advanced SQL, Python etc ) with knowledge of Pharma processes with specialization in a domain (e.g., Research, Clinical Trials, Commercial, etc.) In depth experience of working with or supporting systems used to data governance framework. E.g. Collibra, Alation In depth knowledge of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc. In depth experience with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy. Customer focused with excellent written and verbal communication skills who can confidently work with internal Amgen business stakeholders and external service partners on business process and technology topics Ability to manage scrum teams Good-to-Have Functional Skills: Experience of working with data governance councils or forums Experience with Agile software development methodologies (Scrum) Soft Skills: Excellent analytical skills Ability to work effectively with global, virtual teams Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Ability to build business relationships and understand end-to-end data use and needs. Excellent interpersonal skills (team player). People management skills either in matrix or direct line function. Strong verbal and written communication skills Basic Qualifications Minimum 9 - 12 years of experience in Data Science, Artificial Intelligence, Computer Science, or related fields OR EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. 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 an accommodation .

ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. ABOUT THE ROLE Role Description You will play a key role in the implementation and adoption of the data governance framework which will modernize Amgen's data ecosystem, positioning Amgen as a leader in biopharma innovation. This role leverages state-of-the-art technologies, including Generative AI, Machine Learning, and integrated data . This role involves working closely with business stakeholder and data analysts to ensure implementation and adoption of the data governance framework. You will collaborate with Data Product Owners, Data Stewards and technology teams to increase the trust and reuse of data across Amgen. Roles & Responsibilities Responsible for the execution of data governance framework for a given domain of expertise (Research, Development, Supply Chain, etc.). ? Contribute to the operationalization of the Enterprise data governance framework and aligning broader stakeholder community with their data governance needs, including data quality, data access controls, compliance with privacy and security regulations, foundational master data management, data sharing, communication and change management. ? Works with Enterprise MDM and Reference Data to enforce standards and data reusability. Contribute to the cross functional alignment in his/her domain(s) of expertise to ensure adherence to Data Governance principles. ? Maintain documentation on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for assigned domains. ? Partner with business teams to identify compliance requirements with data privacy, security, and regulatory policies for the assigned domains ? Jointly with Technology teams, business functions, and enterprise teams (e.g., MDM, Enterprise Data Fabric, etc.) delivers data foundations?. Build strong relationship with key business leads and partners to ensure their needs are met . Functional Skills: Must-Have Functional Skills: Technical skills (Advanced SQL, Python etc ) with knowledge of Pharma processes with specialization in a domain (e.g., Research, Clinical Trials, Commercial, etc.) Experience of working with or supporting systems used to data governance framework. E.g. Collibra, Alation General knowledge of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc. Experience with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy. Customer focused with excellent written and verbal communication skills who can confidently work with internal Amgen business stakeholders and external service partners on business process and technology topics Excellent problem-solving skills and a committed attention to detail in finding solutions Good-to-Have Functional Skills: Experience with Agile software development methodologies (Scrum) Soft Skills: Excellent analytical skills Ability to work effectively with global, virtual teams Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Ability to build business relationships and understand end-to-end data use and needs. Strong verbal and written communication skills Basic Qualifications Minimum experience with 5 - 8 years of experience in Business, Engineering, IT or related field EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. 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 an accommodation .

ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. What you will do Role Description: We are seeking a Data Solutions Architect with deep R&D expertise in Biotech/Pharma to design, implement, and optimize scalable and high-performance data solutions that support enterprise analytics, AI-driven insights, and digital transformation initiatives. This role will focus on data strategy, architecture, governance, security, and operational efficiency, ensuring seamless data integration across modern cloud platforms. The ideal candidate will work closely with R&D and engineering teams, business stakeholders, and leadership to establish a future-ready data ecosystem, balancing performance, cost-efficiency, security, and usability. This position requires expertise in modern cloud-based data architectures, data engineering best practices, and Scaled Agile methodologies. Roles & Responsibilities: Design and implement scalable, modular, and future-proof data architectures that support R&D initiatives in enterprise. Develop enterprise-wide data frameworks that enable governed, secure, and accessible data across various business domains. Define data modeling strategies to support structured and unstructured data, ensuring efficiency, consistency, and usability across analytical platforms. Lead the development of high-performance data pipelines for batch and real-time data processing, integrating APIs, streaming sources, transactional systems, and external data platforms. Optimize query performance, indexing, caching, and storage strategies to enhance scalability, cost efficiency, and analytical capabilities. Establish data interoperability frameworks that enable seamless integration across multiple data sources and platforms. Drive data governance strategies, ensuring security, compliance, access controls, and lineage tracking are embedded into enterprise data solutions. Implement DataOps best practices, including CI/CD for data pipelines, automated monitoring, and proactive issue resolution, to improve operational efficiency. Lead Scaled Agile (SAFe) practices, facilitating Program Increment (PI) Planning, Sprint Planning, and Agile ceremonies, ensuring iterative delivery of enterprise data capabilities. Collaborate with business stakeholders, product teams, and technology leaders to align data architecture strategies with organizational goals. Act as a trusted advisor on emerging data technologies and trends, ensuring that the enterprise adopts cutting-edge data solutions that provide competitive advantage and long-term scalability. What we expect of you Must-Have Skills: Experience in data architecture, enterprise data management, and cloud-based analytics solutions. Well versed in R&D domain of Biotech/Pharma industry and has been instrumental in solving complex problems for them using data strategy. Expertise in Databricks, cloud-native data platforms, and distributed computing frameworks. Strong proficiency in modern data modeling techniques, including dimensional modeling, NoSQL, and data virtualization. Experience designing high-performance ETL/ELT pipelines and real-time data processing solutions. Deep understanding of data governance, security, metadata management, and access control frameworks. Hands-on experience with CI/CD for data solutions, DataOps automation, and infrastructure as code (IaC). Proven ability to collaborate with cross-functional teams, including business executives, data engineers, and analytics teams, to drive successful data initiatives. Strong problem-solving, strategic thinking, and technical leadership skills. Experienced with SQL/NOSQL database, vector database for large language models Experienced with data modeling and performance tuning for both OLAP and OLTP databases Experienced with Apache Spark, Apache Airflow Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops Good-to-Have Skills: Experience with Data Mesh architectures and federated data governance models. Certification in cloud data platforms or enterprise architecture frameworks. Knowledge of AI/ML pipeline integration within enterprise data architectures. Familiarity with BI & analytics platforms for enabling self-service analytics and enterprise reporting. Education and Professional Certifications Doctorate Degree with 3-5 + years of experience in Computer Science, IT or related field OR Master’s degree with 6 - 8 + years of experience in Computer Science, IT or related field OR Bachelor’s degree with 8-10 + years of experience in Computer Science, IT or related field AWS Certified Data Engineer preferred Databricks Certificate 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. 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. EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. 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 an accommodation.

[POSITION TITLE] What you will do The HR Data Analytics and Insights Manager role will extract and leverage people data to create dashboards, narratives, and insights on a variety of human resources topics using multiple tools and systems. This position also focuses on enabling leaders to make better data-driven decisions, by supporting the delivery and maintenance of an executive insights platform. The individual in this role will use strong business acumen and data analytics to deliver solutions, communicate insights, and advise HR Business Partners and leaders through data interpretation. Data Analysis and Insights: Build HR analyses and dashboards for enterprise consumption with appropriate data security. Extract data from multiple sources, analyze, and provide clear insights with recommendations. Conduct research and connect data using a broad range of tools and platforms to extract insights (e.g., talent acquisition data, employee listening data, etc.) Consultation and Collaboration: Provide customers consultation on strategic analytics and metrics to enable data-driven choices. Partner cross-functionally within and outside of HR, including members in Finance, DTI, and other key partners across the enterprise to roll out new tools and features. System Capabilities and Enhancements: Stay current on system capabilities and enhancements in vendor platforms (e.g., Visier, MS Viva Analytics) and implement new features that align with best practices and customer needs. Deliver new enhancements in existing products, ensuring data quality. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Doctorate degree and 2 to 4 years of directly related experience OR Master’s degree and 4 to 6 years of directly related experience OR Bachelor’s degree and 6 to 8 years of directly related experience OR Diploma and 10 to 12 years of directly related experience Experience developing dashboards/reports with data visualization tools, such as Visier and PowerBI. Ability to work independently and proactively in a fast-paced environment. Basic understanding of data governance and data privacy requirements. Experience collaborating with and engaging HR and cross-functional partners. Preferred Qualifications: Proficiency with data analytics or data science, specifically in the HR domain Experience working in a multinational environment with global teams. Strong project management skills. Proficiency in extracting data from multiple sources. Familiarity with HCM systems like Workday, SAP, Oracle HCM, etc. Experience telling a story through data. Soft Skills: Excellent verbal and written communication skills. High degree of professionalism and interpersonal skills. Strong analytical and critical thinking skills. Strong problem-solving abilities and adaptability to changing priorities. Strong business insight. Collaborative mentality and ability to build positive relationships across diverse teams and partners. 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 for a career that defies imagination Objects in your future are closer than they appear. Join us. 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.

ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. ABOUT THE ROLE Role Description You will play a key role in the implementation and adoption of the data governance framework which will modernize Amgen's data ecosystem, positioning Amgen as a leader in biopharma innovation. This role leverages state-of-the-art technologies, including Generative AI, Machine Learning, and integrated data . This role involves working closely with business stakeholders and data analysts to ensure implementation and adoption of the data governance framework. You will collaborate with Data Stewards to increase the trust and reuse of data across Amgen. Roles & Responsibilities Contribute to the data governance and data management framework implementation for a given domain of expertise (Research, Development, Supply Chain, etc.). ? Assess and document with the stakeholder community their data governance needs, including data quality, data access controls, compliance with privacy and security regulations, foundational master data management, data sharing, communication and change management. ? Works with Enterprise MDM and Reference Data to enforce standards and data reusability. Maintain documentation on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for assigned domains. ? Partner with business teams to identify compliance requirements with data privacy, security, and regulatory policies for the assigned domains ? Jointly with Technology teams, business functions, and enterprise teams (e.g., MDM, Enterprise Data Fabric, etc.) delivers data foundations?. Functional Skills: Must-Have Functional Skills: General knowledge of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc. General knowledge with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy . Customer focused with excellent written and verbal communication skills who can confidently work with internal Amgen business stakeholders and external service partners on business process and technology topics Excellent problem-solving skills and a committed attention to detail in finding solutions Good-to-Have Functional Skills: K nowledge of Pharma processes with specialization in a domain (e.g., Research, Clinical Trials, Commercial, etc.) Experience of working with or supporting systems used for data management . E.g. Collibra, Ataccama Data Quality platform. Experience with Agile software development methodologies (Scrum ) Soft Skills: Good analytical skills Ability to work effectively with global, virtual teams Team-oriented, with a focus on achieving team goals Ability to build business relationships and understand end-to-end data use and needs. Good verbal and written communication skills Basic Qualifications Minimum Experience with 2 - 5 years of experience in Business, Engineering, IT or related field EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. 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 an accommodation .

ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. ABOUT THE ROLE Role Description We are seeking a Reference Data Management Senior Analyst who a s the Reference Data Product team member of the Enterprise Data Management organization, will be responsible for managing and promoting the use of reference data, partnering with business Subject Mater Experts on creation of vocabularies / taxonomies and ontologies, and developing analytic solutions using semantic technologies . Roles & Responsibilities Work with Reference Data Product Owner, external resources and other engineers as part of the product team? ? Develop and maintain semantically appropriate concepts ? ? Identify and address conceptual gaps in both content and taxonomy ? Maintain ontology source vocabularies for new or edited codes? ? Support product teams to help them leverage taxonomic solutions ? Analyze the data from public/internal datasets. ? Develop a Data Model/schema for taxonomy. ? Create a taxonomy in Semaphore Ontology Editor. ? Perform Bulk-import data templates into Semaphore to add/update terms in taxonomies. ? Prepare SPARQL queries to generate adhoc reports. ? Perform Gap Analysis on current and updated data? ? Maintain taxonomies in Semaphore through Change Management process. ? Develop and optimize automated data ingestion / pipelines through Python/ PySpark when APIs are available ? Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs ? Identify and resolve complex data-related challenges ? Participate in sprint planning meetings and provide estimations on technical implementation . Basic Qualifications and Experience Master’s degree with 6 years of experience in Business, Engineering, IT or related field OR Bachelor’s degree with 8 years of experience in Business, Engineering, IT or related field OR Diploma with 9+ years of experience in Business, Engineering, IT or related field Functional Skills: Must-Have Skills: Knowledge of controlled vocabularies, classification, ontology and taxonomy? ? Experience in ontology development using Semaphore, or a similar tool? ? Hands on experience writing SPARQL queries on graph data ? Excellent problem-solving skills and the ability to work with large, complex datasets ? Understanding of data modeling, data warehousing, and data integration concepts Good-to-Have Skills: Hands on experience writing SQL using any RDBMS (Redshift, Postgres, MySQL, Teradata, Oracle, etc.). ? Experience using cloud services such as AWS or Azure or GCP? ? Experience working in Product Teams environment ? Knowledge of Python/R, Databricks, cloud data platforms ? Knowledge of NLP (Natural Language Processing) and AI (Artificial Intelligence) for extracting and standardizing controlled vocabularies. ? Strong understanding of data governance frameworks, tools, and best practices ? Professional Certifications Databricks Certificate preferred? SAFe ® Practitioner Certificate preferred? Any Data Analysis certification (SQL , Python ) Any cloud certification (AWS or AZURE) Soft Skills: Strong analytical abilities to assess and improve master data processes and solutions. Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical stakeholders. Effective problem-solving skills to address data-related issues and implement scalable solutions. Ability to work effectively with global, virtual teams EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. 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.

Role NameBI Platform Administrator Job Posting Title BI Platform Administrator Workday Job Profile BI Platform Administrator Department Name Digital, Technology & Innovation Role GCF 4 LocationHyderabad, India Job Type Full-time ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 45 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. ABOUT THE ROLE Role Description: The role is responsible for performance monitoring, maintenance, and reliable operation of BI Platforms, BI servers and database. This role involves managing BI Servers and User Admin Management for different environments, ensuring data is stored and retrieved efficiently, and safeguarding sensitive information and ensuring the uptime, performance, and security of IT infrastructure & Software maintenance. We are seeking a skilled BI Platform Administrator to manage, maintain, and optimize our enterprise Power BI and Tableau platforms . The ideal candidate will ensure seamless performance, governance, user access, platform upgrades, troubleshooting, and best practices across our BI environments. Roles & Responsibilities: Administer and maintain Power BI Service, Power BI Report Server, and Tableau Server/Online/any Cloud platforms (AWS, Azure/GCP). Preferred AWS Cloud experience. Configure, monitor, and optimize performance, capacity, and availability of BI platforms. Set up and manage user roles, permissions, and security policies. Manage BI platform upgrades, patches, and migrations. Monitor scheduled data refreshes and troubleshoot failures. Implement governance frameworks to ensure compliance with data policies. Collaborate with BI developers, data engineers, and business users for efficient platform usage. Automate routine administrative tasks using scripts (PowerShell, Python, etc.). Create and maintain documentation of configurations and operational procedures. Install, configure, and maintain BI tools on different operating systems, servers, and applications to ensure their reliability and performance Monitor Platform performance and uptime, addressing any issues that arise promptly to prevent service interruptions Implement and maintain security measures to protect Platforms from unauthorized access, vulnerabilities, and other threats Manage backup procedures and ensure data is securely backed up and recoverable in case of system failures Provide technical support to users, troubleshooting and resolving issues related to system access, performance, and software Apply operating system updates, patches, and configuration changes as necessary Maintain detailed documentation of Platform configurations, procedures, and change management Work closely with network administrators, database administrators, and other IT professionals to ensure that Platforms are integrated and functioning optimally Install, configure, and maintain database management Platforms (BI), ensuring services are reliable and perform optimally Monitor and optimize database performance, including query tuning, indexing, and resource allocation Maintain detailed documentation of Platform configurations, procedures, and policies Work closely with developers, Date Engineers, system administrators, and other IT staff to support database-related needs and ensure optimal platform performance Basic Qualifications and Experience: Over all 5+ years of experience in maintaining Administration on BI Platforms is preferred. 3+ years of experience administering Power BI Service and/or Power BI Report Server . 2+ years of experience administering Tableau Server or Tableau Cloud . Strong knowledge of Active Directory , SSO/SAML , and Role-Based Access Control (RBAC). Experience with platform monitoring and troubleshooting (Power BI Gateway logs, Tableau logs, etc.). Scripting experience (e.g., PowerShell , DAX , or Python ) for automation and monitoring. Strong understanding of data governance , row-level security , and compliance practices. Experience working with enterprise data sources (SQL Server, Snowflake, Oracle, etc.). Familiarity with capacity planning , load balancing , and scaling strategies for BI tools. Functional Skills: Should Have: Knowledge of Power BI Premium Capacity Management and Tableau Resource Management. Experience integrating BI platforms with CI/CD pipelines and DevOps tools. Hands-on experience in user adoption tracking , audit logging, and license management. Ability to conduct health checks and implement performance tuning recommendations. Understanding of multi-tenant environments or large-scale deployments . Good to Have: Experience with Power BI REST API or Tableau REST API for automation. Familiarity with AWS Services and/or AWS equivalents. Background in data visualization or report development for better user collaboration. Exposure to other BI tools (e.g., Looker, Qlik, MicroStrategy). Knowledge of ITIL practices or experience working in a ticket-based support environment. Experience in a regulated industry (finance, healthcare, etc.) with strong compliance requirements. Education & Experience : Master’s degree with 2-3+ years of experience in Business, Engineering, IT or related field OR Bachelor’s degree with 5-6+ years of experience in Business, Engineering, IT or related field OR Diploma with 8+ years of experience in Business, Engineering, IT or related field 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 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. EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. 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 an accommodation.

ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. ABOUT THE ROLE Role Description We are seeking an MDM Associate Data Engineer with 2 –5 years of experience to support and enhance our enterprise MDM (Master Data Management) platforms using Informatica/Reltio. This role is critical in delivering high-quality master data solutions across the organization, utilizing modern tools like Databricks and AWS to drive insights and ensure data reliability. The ideal candidate will have strong SQL, data profiling, and experience working with cross-functional teams in a pharma environment. To succeed in this role, the candidate must have strong data engineering experience along with MDM knowledge, hence the candidates having only MDM experience are not eligible for this role. Candidate must have data engineering experience on technologies like (SQL, Python, PySpark , Databricks, AWS etc ), along with knowledge of MDM (Master Data Management) Roles & Responsibilities Analyze and manage customer master data using Reltio or Informatica MDM solutions. Perform advanced SQL queries and data analysis to validate and ensure master data integrity. Leverage Python, PySpark , and Databricks for scalable data processing and automation. Collaborate with business and data engineering teams for continuous improvement in MDM solutions. Implement data stewardship processes and workflows, including approval and DCR mechanisms. Utilize AWS cloud services for data storage and compute processes related to MDM. Contribute to metadata and data modeling activities. Track and manage data issues using tools such as JIRA and document processes in Confluence. Apply Life Sciences/Pharma industry context to ensure data standards and compliance. Basic Qualifications and Experience Master’s degree with 1 - 3 years of experience in Business, Engineering, IT or related field OR Bachelor’s degree with 2 - 5 years of experience in Business, Engineering, IT or related field OR Diploma with 6 - 8 years of experience in Business, Engineering, IT or related field Functional Skills: Must-Have Skills: Advanced SQL expertise and data wrangling. Strong experience in Python and PySpark for data transformation workflows. Strong experience with Databricks and AWS architecture. Must have knowledge of MDM, data governance, stewardship, and profiling practices. In addition to above, candidates having experience with Informatica or Reltio MDM platforms will be preferred. Good-to-Have Skills: Experience with IDQ, data modeling and approval workflow/DCR. Background in Life Sciences/Pharma industries. Familiarity with project tools like JIRA and Confluence. Strong grip on data engineering concepts. Professional Certifications Any ETL certification ( e.g. Informatica) Any Data Analysis certification (SQL, Python, Databricks) Any cloud certification (AWS or AZURE) Soft Skills: Strong analytical abilities to assess and improve master data processes and solutions. Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical stakeholders. Effective problem-solving skills to address data-related issues and implement scalable solutions. Ability to work effectively with global, virtual teams EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. 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.