946 Metadata Jobs - Page 6

Career Category Engineering Job Description 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: The role is responsible for developing and maintaining the data architecture of the Enterprise Data Fabric. Data Architecture includes the activities required for data flow design, data modeling, physical data design, query performance optimization. The Data Modeler position is responsible for developing business information models by studying the business, our data, and the industry. This role involves creating data models to realize a connected data ecosystem that empowers consumers. The Data Modeler drives cross-functional data interoperability, enables efficient decision-making, and supports AI usage of Foundational Data. Roles & Responsibilities: Develop and maintain conceptual logical, and physical data models and to support business needs Contribute to and Enforce data standards, governance policies, and best practices Design and manage metadata structures to enhance information retrieval and usability Maintain comprehensive documentation of the architecture, including principles, standards, and models Evaluate and recommend technologies and tools that best fit the solution requirements Drive continuous improvement in the architecture by identifying opportunities for innovation and efficiency Basic Qualifications and Experience: Doctorate / Master s / Bachelor s degree with 8-12 years of experience in Computer Science, IT or related field Functional Skills: Must-Have Skills Data Modeling: Proficiency in creating conceptual, logical, and physical data models to represent information structures. Ability to interview and communicate with business Subject Matter experts to develop data models that are useful for their analysis needs. Metadata Management : Knowledge of metadata standards, taxonomies, and ontologies to ensure data consistency and quality. Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), performance tuning on big data processing Implementing Data testing and data quality strategies. Good-to-Have Skills: Experience with Graph technologies such as Stardog, Allegrograph, Marklogic Professional Certifications (please mention if the certification is preferred or mandatory for the role): Certifications in Databricks are desired Soft Skills: Excellent critical-thinking and problem-solving skills Strong communication and collaboration skills Demonstrated awareness of how to function in a team setting 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. .

Career Category Engineering Job Description [Role Name : IS Architecture] Job Posting Title: Data Architect Workday Job Profile : Principal IS Architect Department Name: Digital, Technology Innovation Role GCF: 06A 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: The role is responsible for developing and maintaining the data architecture of the Enterprise Data Fabric. Data Architecture includes the activities required for data flow design, data modeling, physical data design, query performance optimization. The Data Architect is a senior-level position responsible for developing business information models by studying the business, our data, and the industry. This role involves creating data models to realize a connected data ecosystem that empowers consumers. The Data Architect drives cross-functional data interoperability, enables efficient decision-making, and supports AI usage of Foundational Data. This role will manage a team of Data Modelers. Roles Responsibilities: Provide oversight to data modeling team members. Develop and maintain conceptual logical, and physical data models and to support business needs Establish and enforce data standards, governance policies, and best practices Design and manage metadata structures to enhance information retrieval and usability Maintain comprehensive documentation of the architecture, including principles, standards, and models Evaluate and recommend technologies and tools that best fit the solution requirements Evaluate emerging technologies and assess their potential impact. Drive continuous improvement in the architecture by identifying opportunities for innovation and efficiency Basic Qualifications and Experience: [GCF Level 6A] Doctorate Degree and 8 years of experience in Computer Science, IT or related field OR Master s degree with 12 - 15 years of experience in Computer Science, IT or related field OR Bachelor s degree with 14 - 17 years of experience in Computer Science, IT or related field Functional Skills: Must-Have Skills : Data Modeling: Expert in creating conceptual, logical, and physical data models to represent information structures. Ability to interview and communicate with business Subject Matter experts to develop data models that are useful for their analysis needs. Metadata Management : Knowledge of metadata standards, taxonomies, and ontologies to ensure data consistency and quality. Information Governance: Familiarity with policies and procedures for managing information assets, including security, privacy, and compliance. Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), performance tuning on big data processing Good-to-Have Skills: Experience with Graph technologies such as Stardog, Allegrograph, Marklogic Professional Certifications Certifications in Databricks are desired Soft Skills: Excellent critical-thinking and problem-solving skills Strong communication and collaboration skills Demonstrated awareness of how to function in a team setting Demonstrated awareness of presentation skills Shift Information: This position requires you to work a later shift and may be assigned a second or third shift schedule. Candidates must be willing and able to work during evening or night shifts, as required based on business requirements. 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. .

Career Category Engineering Job Description 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: The role is responsible for developing and maintaining the data architecture of the Enterprise Data Fabric. Data Architecture includes the activities required for data flow design, data modeling, physical data design, query performance optimization. The Data Modeler position is responsible for developing business information models by studying the business, our data, and the industry. This role involves creating data models to realize a connected data ecosystem that empowers consumers. The Data Modeler drives cross-functional data interoperability, enables efficient decision-making, and supports AI usage of Foundational Data. Roles & Responsibilities: Develop and maintain conceptual logical, and physical data models and to support business needs Contribute to and Enforce data standards, governance policies, and best practices Design and manage metadata structures to enhance information retrieval and usability Maintain comprehensive documentation of the architecture, including principles, standards, and models Evaluate and recommend technologies and tools that best fit the solution requirements Drive continuous improvement in the architecture by identifying opportunities for innovation and efficiency Basic Qualifications and Experience: Doctorate / Master s / Bachelor s degree with 8-12 years of experience in Computer Science, IT or related field Functional Skills: Must-Have Skills Data Modeling: Proficiency in creating conceptual, logical, and physical data models to represent information structures. Ability to interview and communicate with business Subject Matter experts to develop data models that are useful for their analysis needs. Metadata Management : Knowledge of metadata standards, taxonomies, and ontologies to ensure data consistency and quality. Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), performance tuning on big data processing Implementing Data testing and data quality strategies. Good-to-Have Skills: Experience with Graph technologies such as Stardog, Allegrograph, Marklogic Professional Certifications (please mention if the certification is preferred or mandatory for the role): Certifications in Databricks are desired Soft Skills: Excellent critical-thinking and problem-solving skills Strong communication and collaboration skills Demonstrated awareness of how to function in a team setting 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 .

Job Description: CDS Views (Core Data Services) : Creating CDS Views : Ability to define and implement CDS views using SQL-based syntax in Eclipse Annotations : Using annotations to enrich CDS views with metadata for better integration and functionality Associations : Defining associations to link CDS views and retrieve related data efficiently Advanced SQL Logic : Implementing complex SQL logic within CDS views, including joins, unions, aggregations, and calculated columns ABAP RESTful Application Programming Model (RAP) : Service Definition : Creating and managing service definitions for exposing CDS views as OData services Behavior Definition : Implementing business logic and transactional behavior using RAP SAP HANA : SQLScript : Writing and optimizing SQLScript for stored procedures and functions in SAP HANA Performance Tuning : Techniques for optimizing performance in SAP HANA, including indexing and partitioning Fiori and UI5 : OData Services : Developing and consuming OData services for SAP Fiori applications UI5 Development : Creating custom SAP UI5 applications and integrating them with backend services Integration Technologies : RFC and BAPI : Implementing Remote Function Calls (RFC) and Business Application Programming Interfaces (BAPI) for integration with other systems IDoc Processing : Handling and processing IDocs for data exchange between SAP At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We re committed to fostering an inclusive environment where everyone can thrive. Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here .

Job Overview: We are seeking an experienced MicroStrategy (MSTR) Consultant with 8+ years of expertise to support our offshore operations. The ideal candidate should have deep knowledge of metadata, data modeling, dashboard development, and performance optimization. This role requires strong troubleshooting skills and the ability to collaborate with business users to answer technical queries. Role & responsibilities • Develop, configure, and maintain MicroStrategy solutions based on business needs. • Understand and manage metadata, ensuring efficient data model configurations. • Work with star schemas, slowly changing dimensions (SCDs), and hierarchical models to optimize reporting. • Design and create interactive dashboards tailored for various business requirements. • Configure VLDB settings to fine-tune report performance. • Establish parent-child relationships between attributes and configure level metrics. • Develop and manage Documents and Dossiers for data visualization and reporting. • Monitor and troubleshoot MSTR infrastructure issues, including certificate renewals, Catalina logs, and service restarts. • Collaborate with business teams to understand reporting needs and provide technical guidance. • Identify performance bottlenecks and optimize reports for faster execution. • Power BI knowledge is a plus, as it may be required for certain integrations.

Responsibilities: * Ensure data accuracy & compliance with regulatory standards. * Develop data strategy, governance & quality plans. * Manage metadata, stewardship & lineage. * Collaborate on enterprise-wide data initiatives. Remote work & Saudi Annual bonus Health insurance

The Data Privacy and Policy Lead will be responsible for defining, operationalizing, and monitoring data access controls to ensure only authorized users and AI agents have access to sensitive data. He/she will define frameworks to identify sensitive data across the enterprise and will work closely with the Data Governance team to ensure all assets are properly classified. He/She will coordinate activities at the tactical level, interpreting Enterprise Data Council direction and defining operational level impact deliverables and actions to build secure data foundations supporting the vision of democratizing data with proper security controls. The Data Privacy and Policy Lead will partner with the Enterprise Data Office, senior leadership, data governance functional leads, and Chief Privacy Officer to protect sensitive data. He/she will establish and enforce data access controls and policies to accelerate access to data in a secure scalable environment. Roles & Responsibilities: Responsible for co-developing frameworks, in partnership with Enterprise Data Management Platforms team, to enable technology to discover, tag, and generate metadata to manage data access controls. Manage a team of Data Governance Specialists and Data Stewards- directly or in a matrix organization structure. Responsible for operationalizing the data access controls and in partnership with functional data owners and technology teams, ensure data access controls, compliance with privacy and security regulations are enforced. Maintain policies and ensures compliance with data privacy, security, and regulatory policies Publish metrics to measure effectiveness and drive adoption of Data Access policies and standards, that will be applied to mitigate identified risks across the data lifecycle (e.g., capture / production, aggregation / processing, sharing, reporting / consumption). Functional Skills: Must-Have Skills: Technical data management skills with in-depth knowledge of Pharma data regulations. Aware of industry trends and priorities and can apply to governance and policies. In-depth knowledge and experience with data masking, data access controls, and technologies to enable a scalable operating model. Experience with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy. Good-to-Have Skills: Experience managing industry external data assets (e.g. Claims, EHR, etc.) Ability to successfully execute complex projects in a fast-paced environment and in managing multiple priorities effectively. Ability to manage projects or departmental budgets. Experience with modelling tools (e.g., Visio). Basic programming skills, experience in data visualization and data modeling tools. Experience working with agile development methodologies such as Scaled Agile. Soft Skills: 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 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 Good presentation and public speaking skills. Strong attention to detail, quality, time management and customer focus. Basic Qualifications: 12 to 15 years of Information Systems experience 4 years of managerial experience directly managing people and leadership experience leading teams, projects, or programs.

We are seeking a motivated and detail-oriented QA & Test Automation Support Engineer (Test Automation Engineering) to join our growing data quality assurance team. In this role, you will work closely with and under the guidance of a Senior QA & Test Automation Engineer to support the testing and validation of our enterprise data platforms, with a focus on data quality, semantic layer validation, and API testing. You will contribute to ensuring data integrity across complex data pipelines, assist in validating business logic behind data transformations, and participate in both manual and automated testing processes. This is a hands-on, growth-oriented position ideal for someone looking to deepen their skills in data quality engineering, API testing, and test automation. Roles & Responsibilities: E xecute automated test suites across various layers including data pipelines, APIs, and semantic layers. Analyze test automation results, identify failures or inconsistencies, and assist in root cause analysis. Generate and share test execution reports with stakeholders, summarizing pass/fail rates and key issues. Collaborate with the Senior QA Engineer to triage automation failures and escalate critical issues. Assist in test data preparation and test environment setup. Perform manual validation as needed to support automation gaps or verify edge cases. Log and track defects in JIRA (or similar tools), and follow up on resolutions with relevant teams. Help maintain test documentation, including test case updates, runbooks, and regression packs. Contribute to test automation scripting, framework maintenance, and CI/CD integration. Validate data transformations and flows across platforms like AWS, Databricks, and Snowflake. Participate in testing of semantic layers and Graph QL APIs, including schema validation. Maintain test documentation and work closely with QA, data engineers, and analysts to ensure data quality. Must-Have Skills: Hands-on experience executing and analyzing automated test suites 1+ strong experience in Test Automation specialization 3 to 5 years overall experience in QA & Test Automation is expected. Strong understanding of test result analysis and defect tracking (JIRA or similar) Basic knowledge of test automation scripting (Python, Java, or similar) Proficient in SQL for data validation Familiarity with ETL/ELT pipelines and data testing concepts Experience with API testing (REST & GraphQL) and schema validation Exposure to cloud data platforms like AWS, Databricks, or Snowflake Understanding of CI/CD tools (e.g., Jenkins, GitLab CI) Good communication and collaboration skills Strong attention to detail and a problem-solving mindset Good-to-Have Skills: Experience with data governance tools such as Apache Atlas, Collibra, or Alation Contributions to internal quality dashboards or data observability systems Awareness of metadata-driven testing approaches and lineage-based validations Experience working with agile Testing methodologies such as Scaled Agile. Familiarity with automated testing frameworks like Selenium, JUnit, TestNG, or PyTest. Education and Professional Certifications Bachelor s/Masters degree in computer science and engineering preferred. Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills.

The External Data Analyst will be responsible for optimizing spend and reuse of external data. This role is responsible for maintaining a data catalog with harmonized metadata across functions to increase visibility, promote reuse, and lower the annual spend. The External Data Analyst will assess investments in external data and will provide recommendations to the Enterprise Data Council to inform investment approval. This role will work with Global Strategic Sourcing and the Cyber Security Team to standardize contracting of data purchases. The External Data Analyst will also work closely with the data engineering team and external data providers to manage the lifecycle of the data assets. This role will be responsible for co-defining and operationalizing the business process to capture metadata related to the forecast of data purchases. The person in this role will coordinate activities at the tactical level, interpreting Enterprise Data Council direction and defining operational level impact deliverables and actions to maximize data investments. Roles & Responsibilities: Responsible for cataloging all external data assets, including the harmonization of metadata to increase reuse and inform future data acquisitions. Co-develop and maintain the process to consistently capture external data purchase forecast, focusing on generating the required metadata to support KPIs and reporting. Responsible for working with Global Strategic Sourcing and Cyber Security teams to standardize data contracts to enable the reuse of data assets across functions. In partnership with functional data SMEs, develop internal expertise on the content of external data to increase reuse across teams. This includes, but is not limited to, participating in data seminars to bring together data SMEs from all functions to increase data literacy. In partnership with the Data Engineering team, design data standardization rules to make external data FAIR from the start. Maintain the quality of data. In partnership with the Data Privacy and Policy team develop and operationalize data access controls to adhere to the terms of the data contracts to ensure data access controls, compliance, and security requirements are enforced. Maintain policies and ensure compliance with data privacy, security, and contractual policies Publish metrics to measure effectiveness of data reuse, data literacy and reduction in data spend. Functional Skills: Must-Have Skills: Experience managing external data assets used in the life-science industry (e.g., Claims, EHR, etc.) Experience working with data providers, supporting negotiations and vendor management activities. Technical data management skills with in-depth knowledge of Pharma data standards and regulations. Aware of industry trends and priorities and can apply to governance and policies. Experience with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy. Good-to-Have Skills: Ability to successfully execute complex projects in a fast-paced environment and in managing multiple priorities effectively. Ability to manage projects or departmental budgets. Experience with modelling tools (e.g., Visio). Basic programming skills, experience in data visualization and data modeling tools. Experience working with agile development methodologies such as Scaled Agile. Soft Skills: 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 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 Good presentation and public speaking skills. Strong attention to detail, quality, time management and customer focus. Basic Qualifications: Any degree with 5 - 9 years of experience in Business, Engineering, IT or related field

We are seeking an experienced MDM Engineer with 8 12 years of experience to lead development and operations of our Master Data Management (MDM) platforms, with hands-on experience in data engineering experience. This role will involve handling the backend data engineering solution within MDM team. This is a technical role that will require hands-on work. To succeed in this role, the candidate must have strong Data Engineering experience. Candidate must have experience on technologies like (SQL, Python, PySpark, Databricks, AWS, API Integrations etc). Roles & Responsibilities: Develop distributed data pipelines using PySpark on Databricks for ingesting, transforming, and publishing master data Write optimized SQL for large-scale data processing, including complex joins, window functions, and CTEs for MDM logic Implement match/merge algorithms and survivorship rules using Informatica MDM or Reltio APIs Build and maintain Delta Lake tables with schema evolution and versioning for master data domains Use AWS services like S3, Glue, Lambda, and Step Functions for orchestrating MDM workflows Automate data quality checks using IDQ or custom PySpark validators with rule-based profiling Integrate external enrichment sources (e.g., D&B, LexisNexis) via REST APIs and batch pipelines Design and deploy CI/CD pipelines using GitHub Actions or Jenkins for Databricks notebooks and jobs Monitor pipeline health using Databricks Jobs API, CloudWatch, and custom logging frameworks Implement fine-grained access control using Unity Catalog and attribute-based policies for MDM datasets Use MLflow for tracking model-based entity resolution experiments if ML-based matching is applied Collaborate with data stewards to expose curated MDM views via REST endpoints or Delta Sharing Basic Qualifications and Experience: 8 to 13 years of experience in Business, Engineering, IT or related field Functional Skills: Must-Have Skills: Advanced proficiency in PySpark for distributed data processing and transformation Strong SQL skills for complex data modeling, cleansing, and aggregation logic Hands-on experience with Databricks including Delta Lake, notebooks, and job orchestration Deep understanding of MDM concepts including match/merge, survivorship, and golden record creation Experience with MDM platforms like Informatica MDM or Reltio, including REST API integration Proficiency in AWS services such as S3, Glue, Lambda, Step Functions, and IAM Familiarity with data quality frameworks and tools like Informatica IDQ or custom rule engines Experience building CI/CD pipelines for data workflows using GitHub Actions, Jenkins, or similar Knowledge of schema evolution, versioning, and metadata management in data lakes Ability to implement lineage and observability using Unity Catalog or third-party tools Comfort with Unix shell scripting or Python for orchestration and automation Hands on experience on RESTful APIs for ingesting external data sources and enrichment feeds Good-to-Have Skills: Experience with Tableau or PowerBI for reporting MDM insights. Exposure to Agile practices and tools (JIRA, Confluence). Prior experience in Pharma/Life Sciences. Understanding of compliance and regulatory considerations in master data. Professional Certifications : Any MDM certification (e.g. Informatica, Reltio etc) Any Data Analysis certification (SQL, Python, PySpark, 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

We are seeking an experienced MDM Senior Data Engineer with 6 - 9 years of experience and expertise in backend engineering to work closely with business on development and operations of our Master Data Management (MDM) platforms, with hands-on experience in Informatica or Reltio and data engineering experience . This role will also involve guiding junior data engineers /analysts , and quality experts to deliver high-performance, scalable, and governed MDM solutions that align with enterprise data strategy. 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, API Integrations etc ), along with knowledge of MDM (Master Data Management) Roles & Responsibilities: Develop the MDM backend solutions and implement ETL and Data engineering pipelines using Databricks, AWS, Python/ PySpark , SQL etc Lead the implementation and optimization of MDM solutions using Informatica or Reltio platforms. Perform data profiling and identify the DQ rules need . Define and drive enterprise-wide MDM architecture, including IDQ, data stewardship, and metadata workflows. Manage cloud-based infrastructure using AWS and Databricks to ensure scalability and performance. Ensure data integrity, lineage, and traceability across MDM pipelines and solutions. Provide mentorship and technical leadership to junior team members and ensure project delivery timelines. Help custom UI team for integration with backend data using API or other integration methods for better user experience on data stewardship Basic Qualifications and Experience: Master s degree with 4 - 6 years of experience in Business, Engineering, IT or related field OR Bachelor s degree with 6 - 9 years of experience in Business, Engineering, IT or related field OR Diploma with 1 0 - 12 years of experience in Business, Engineering, IT or related field Functional Skills: Must-Have Skills: Strong understanding and hands on experience of Databricks and AWS cloud services. Proficiency in Python, PySpark , SQL, and Unix for data processing and orchestration. Deep knowledge of MDM tools (Informatica, Reltio) and data quality frameworks (IDQ). Must have knowledge on customer master data (HCP, HCO etc ) Experience with data modeling, governance, and DCR lifecycle management. Able to implement end to end integrations including API based integrations, Batch integrations and Flat file-based integrations Strong experience with external data enrichments like D&B Strong experience on match/merge and survivorship rules implementations Very good understanding on reference data and its integration with MDM Hands on experience with custom workflows or building data pipelines /orchestrations Good-to-Have Skills: Experience with Tableau or PowerBI for reporting MDM insights. Exposure or knowledge of DataScience and GenAI capabilities. Exposure to Agile practices and tools (JIRA, Confluence). Prior experience in Pharma/Life Sciences. Understanding of compliance and regulatory considerations in master data. Professional Certifications : Any MDM certification ( e.g. Informatica , Reltio etc ) Databricks Certifications (Data engineer or Architect) 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

The External Data Assets Lead will be responsible for optimizing spend and reuse of external data. This role is responsible for maintaining a data catalog with harmonized metadata across functions to increase visibility, promote reuse, and lower the annual spend. The External Data Assets Lead will assess investments in external data and will provide recommendations to the Enterprise Data Council to inform investment approval. This role will work with Global Strategic Sourcing and the Cyber Security Team to standardize contracting of data purchases. The External Data Assets Lea will also work closely with the data engineering team and external data providers to manage the lifecycle of the data assets. This role will be responsible for co-defining and operationalizing the business process to capture metadata related to the forecast of data purchases. The person in this role will coordinate activities at the tactical level, interpreting Enterprise Data Council direction and defining operational level impact deliverables and actions to maximize data investments. Roles & Responsibilities: Responsible for cataloging all external data assets, including the harmonization of metadata to increase reuse and inform future data acquisitions. Co-develop and maintain the process to consistently capture external data purchase forecast, focusing on generating the required metadata to support KPIs and reporting. Responsible for working with Global Strategic Sourcing and Cyber Security teams to standardize data contracts to enable the reuse of data assets across functions. In partnership with functional data SMEs, develop internal expertise on the content of external data to increase reuse across teams. This includes, but is not limited to, participating in data seminars to bring together data SMEs from all functions to increase data literacy. In partnership with the Data Engineering team, design data standardization rules to make external data FAIR from the start. Manage a team of Data Specialists and Data Stewards- directly or in a matrix organization structure to maintain the quality of data. In partnership with the Data Privacy and Policy team develop and operationalize data access controls to adhere to the terms of the data contracts to ensure data access controls, compliance, and security requirements are enforced. Maintain policies and ensure compliance with data privacy, security, and contractual policies Publish metrics to measure effectiveness of data reuse, data literacy and reduction in data spend. Functional Skills: Must-Have Skills: Experience managing external data assets used in the life-science industry (e.g., Claims, EHR, etc.) Experience working with data providers, supporting negotiations and vendor management activities. Technical data management skills with in-depth knowledge of Pharma data standards and regulations. Aware of industry trends and priorities and can apply to governance and policies. Experience with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy. Good-to-Have Skills: Ability to successfully execute complex projects in a fast-paced environment and in managing multiple priorities effectively. Ability to manage projects or departmental budgets. Experience with modelling tools (e.g., Visio). Basic programming skills, experience in data visualization and data modeling tools. Experience working with agile development methodologies such as Scaled Agile. Soft Skills: 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 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 Good presentation and public speaking skills. Strong attention to detail, quality, time management and customer focus. Basic Qualifications: 12 to 15 years of Information Systems experience 4 years of managerial experience directly managing people and leadership experience leading teams, projects, or programs.

The External Data Analyst will be responsible for optimizing spend and reuse of external data. This role is responsible for maintaining a data catalog with harmonized metadata across functions to increase visibility, promote reuse, and lower the annual spend. The External Data Analyst will assess investments in external data and will provide recommendations to the Enterprise Data Council to inform investment approval. This role will work with Global Strategic Sourcing and the Cyber Security Team to standardize contracting of data purchases. The External Data Analyst will also work closely with the data engineering team and external data providers to manage the lifecycle of the data assets. This role will be responsible for co-defining and operationalizing the business process to capture metadata related to the forecast of data purchases. The person in this role will coordinate activities at the tactical level, interpreting Enterprise Data Council direction and defining operational level impact deliverables and actions to maximize data investments. Roles & Responsibilities: Responsible for cataloging all external data assets, including the harmonization of metadata to increase reuse and inform future data acquisitions. Co-develop and maintain the process to consistently capture external data purchase forecast, focusing on generating the required metadata to support KPIs and reporting. Responsible for working with Global Strategic Sourcing and Cyber Security teams to standardize data contracts to enable the reuse of data assets across functions. In partnership with functional data SMEs, develop internal expertise on the content of external data to increase reuse across teams. This includes, but is not limited to, participating in data seminars to bring together data SMEs from all functions to increase data literacy. In partnership with the Data Engineering team, design data standardization rules to make external data FAIR from the start. Maintain the quality of data. In partnership with the Data Privacy and Policy team develop and operationalize data access controls to adhere to the terms of the data contracts to ensure data access controls, compliance, and security requirements are enforced. Maintain policies and ensure compliance with data privacy, security, and contractual policies Publish metrics to measure effectiveness of data reuse, data literacy and reduction in data spend. Functional Skills: Must-Have Skills: Experience managing external data assets used in the life-science industry (e.g., Claims, EHR, etc.) Experience working with data providers, supporting negotiations and vendor management activities. Technical data management skills with in-depth knowledge of Pharma data standards and regulations. Aware of industry trends and priorities and can apply to governance and policies. Experience with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy. Good-to-Have Skills: Ability to successfully execute complex projects in a fast-paced environment and in managing multiple priorities effectively. Ability to manage projects or departmental budgets. Experience with modelling tools (e.g., Visio). Basic programming skills, experience in data visualization and data modeling tools. Experience working with agile development methodologies such as Scaled Agile. Soft Skills: 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 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 Good presentation and public speaking skills. Strong attention to detail, quality, time management and customer focus. Basic Qualifications: Master s degree with 8 - 10 years of experience in Business, Engineering, IT or related field OR Bachelor s degree with 8 - 12 years of experience in Business, Engineering, IT or related field OR Diploma with 14 - 16 years of experience in Business, Engineering, IT or related field

The Data Compliance Analyst will be responsible for maintaining data standards, policies , S tandard O perating P rocedures (SOPs) , defined by data owners. These standards, policies, and SOP s will govern sensitive data (e.g., PII) across the enterprise. This data role will also audit security access controls on sensitive data in the different data platforms to ensure Product T eams adhere to the data policies, standards and SOP s . Roles & Responsibilities: Responsible for maintaining data standards, policies, SOPs, by partnering with Data Manag ement Platforms team, to enable technology to discover, tag, and generate metadata to manage data access controls. Responsible for operationalizing the data access controls and in partnership with functional data owners and technology teams, ensure data access controls, compliance with privacy and security regulations are enforced. Maintain policies and ensures compliance with data privacy, security, and regulatory policies Publish metrics to measure effectiveness and drive adoption of Data Access polic ies and standards, that will be applied to mitigate identified risks across the data lifecycle (e.g., capture / production, aggregation / processing, sharing, reporting / consumption) . Functional Skills: Must-Have Skills: Technical skills with knowledge of Pharma processes and data privacy. 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 Experience of working with or supporting systems used to data governance framework . E.g. Collibra, Alation Excellent problem-solving skills and committed attention to detail in finding solutions Good-to-Have Skills: Experience with Agile software development methodologies (Scrum) Proficiency in data analysis and quality tools (e.g., SQL, Excel, Python, or SAS). Soft Skills: Highly organized and able to work under minimal supervision A nalytical and assessment 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 Strong attention to detail, quality, time management and customer focus . Basic Qualifications: Bachelor s degree and 3 to 5 years of Life Science / Biotechnology / Pharmacology / Information Systems experience OR Diploma and 7 to 9 years of Life Science / Biotechnology / Pharmacology / Information Systems experience

Let s do this. Let s change the world. In this vital role We are seeking a strategic and hands-on Specialist Software Engineer / AI Engineer - Search to lead the design, development, and deployment of AI-powered search and knowledge discovery solutions across our pharmaceutical enterprise. In this role, youll manage a team of engineers and work closely with data scientists, oncologists, and domain experts to build intelligent systems that help users across R&D, medical, and commercial functions find relevant, actionable information quickly and accurately. Architect and lead the development of scalable, intelligent search systems leveraging NLP, embeddings, LLMs, and vector search Own the end-to-end lifecycle of search solutions, from ingestion and indexing to ranking, relevancy tuning, and UI integration Build systems that surface scientific literature, clinical trial data, regulatory content, and real-world evidence using semantic and contextual search Integrate AI models that improve search precision, query understanding, and result summarization (e.g., generative answers via LLMs). Partner with platform teams to deploy search solutions on scalable infrastructure (e.g., Kubernetes, cloud-native services, Databricks, Snowflake). Experience in Generative AI on Search Engines Experience in integrating Generative AI capabilities and Vision Models to enrich content quality and user engagement. Building and owning the next generation of content knowledge platforms and other algorithms/systems that create high quality and unique experiences. Designing and implementing advanced AI Models for entity matching, data duplication. Experience Generative AI tasks such as content summarization. deduping and metadata quality. Researching and developing advanced AI algorithms, including Vision Models for visual content analysis. Implementing KPI measurement frameworks to evaluate the quality and performance of delivered models, including those utilizing Generative AI. Developing and maintaining Deep Learning models for data quality checks, visual similarity scoring, and content tagging. Continually researching current and emerging technologies and proposing changes where needed. Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements. Manage and mentor a cross-functional engineering team focused on AI, ML, and search infrastructure. Foster a collaborative, high-performance engineering culture with a focus on innovation and delivery. Work with domain experts, data stewards, oncologists, and product managers to align search capabilities with business and scientific need Basic Qualifications: Degree in computer science & engineering preferred with 9-12 years of software development experience Proficient in Spark, Kafka, Snowflake, Delta Lake, Hadoop, databricks, Mongo DB, S3 Buckets, ELT& ETL, API Integrations, Java Proven experience building search systems with technologies like Elasticsearch, Solr, OpenSearch, or vector DBs (e.g., Pinecone, FAISS). Hands-on experience with various AI models, GCP Search Engines, GCP Cloud services Strong understanding of NLP, embeddings, transformers, and LLM-based search applications Proficient in programming language AI/ML, Python, GraphQL, Java Crawlers, Java Script, SQL/NoSQL, Databricks/RDS, Data engineering, S3 Buckets, dynamo DB Strong problem solving, analytical skills; Ability to learn quickly; Excellent communication and interpersonal skills Experience deploying ML services and search infrastructure in cloud environments (AWS, Azure, or GCP) Preferred Qualifications: Experience in AI/ML, Java, Rest API, Python React, GraphQL, NLMS, Full stack applications, Solr Search Experienced with Fast Pythons API Experience with design patterns, data structures, data modelling, data algorithms Knowledge of ontologies and taxonomies such as MeSH, SNOMED CT, UMLS, or MedDRA. Familiarity with MLOps, CI/CD for ML, and monitoring of AI models in production. Experienced with AWS /Azure Platform, building and deploying the code Experience in PostgreSQL /Mongo DB SQL database, vector database for large language models, Databricks or RDS, S3 Buckets Experience in Google cloud Search and Google cloud Storage Experience with popular large language models Experience with LangChain or LlamaIndex framework for language models Experience with prompt engineering, model fine tuning Knowledge of NLP techniques for text analysis and sentiment analysis Experience with generative AI or retrieval-augmented generation (RAG) frameworks in pharma/biotech setting Experience in Agile software development methodologies Experience in End-to-End testing as part of Test-Driven Development Good to Have Skills Willingness to work on Full stack Applications Experience working with biomedical or scientific data (e.g., PubMed, clinical trial registries, internal regulatory databases) Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills. Ability to work effectively with global, remote teams. High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals. Strong presentation and public speaking skills. Thrive What you can expect from us As we work to develop treatments that take care of others, we also work to care for our teammates professional and personal growth and well-being. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

Let s do this. Let s change the world. In this vital role you will be responsible for developing and maintaining the overall IT architecture of the organization. This role involves defining the architecture vision, creating roadmaps, and ensuring that IT strategies align with business goals in the Hire to Retire capability and more specifically to Workday HCM and Talent Performance. You will be working closely with partners to understand requirements, develop architectural blueprints, and ensure that solutions are scalable, secure, and aligned with enterprise standards. Architects will be involved in defining the enterprise architecture strategy, guiding technology decisions, and ensuring that all IT projects adhere to established architectural principles. Roles & Responsibilities: Develop and maintain the enterprise architecture vision and strategy, ensuring alignment with business objectives for Workday and Eightfold platforms. Create and maintain architectural roadmaps that guide the evolution of IT systems and capabilities for Workday and Eightfold platforms. Establish and enforce architectural standards, policies, and governance frameworks Evaluate emerging technologies and assess their potential impact on the architecture Identify and mitigate architectural risks, ensuring that IT systems are scalable, secure, and resilient Maintain comprehensive documentation of the architecture, including principles, standards, and models Drive continuous improvement in the architecture by finding opportunities for innovation and efficiency Work with partners to gather and analyze requirements, ensuring that solutions meet both business and technical needs Evaluate and recommend technologies and tools that best fit the solution requirements for Human Capital Management processes Design systems that can scale to meet growing business needs and performance demands Develop and maintain logical, physical, and conceptual data models to support business needs Design and manage metadata structures to enhance information retrieval and usability What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Doctorate degree OR Master s degree and 4 to 6 years of Computer Science, IT or related field experience OR Bachelor s degree and 6 to 8 years of Computer Science, IT or related field experience OR Diploma and 10 to 12 years of Computer Science, IT or related field experience Preferred Qualifications: Must-Have Skills: Strong architectural design and modeling skills. Experience directing solution design, business processes redesign and aligning business requirements to technical solutions in a regulated environment. Experience configuring Workday Recruiting and Talent Management business processes (Job Application, Offer, Employment Agreement, Performance, Goals, Career, Talent Review, Skills, etc.). Experience with Workday Report development including creation of complex calc fields. Functional knowledge that works in conjunction with Workday Recruiting and Performance, including HCM, Compensation, Integrations, etc. [Business Architect] Business Strategy: Alignment of IT capabilities with business strategy. Business Process Reengineering: Ability to identify and improve inefficiencies in business processes. Non-Functional Requirements: Consideration of factors like performance, scalability, security, and reliability in system design. Organizational Change Management: Experience in leading organizational change initiatives driven by business transformation. Partner Engagement: Effective communication and collaboration with business partners at all levels. Security: Understanding of API security best practices and standards. Good-to-Have Skills: Strong solution design and problem-solving skills Solid understanding of technology, function, or platform Experience in developing differentiated and deliverable solutions Ability to analyze client requirements and translate them into solutions Professional Certifications: Workday HCM, T&A, Recruiting, Integrations (preferred) Soft Skills: Excellent critical-thinking and problem-solving skills Strong communication and collaboration skills Demonstrated awareness of how to function in a team setting Demonstrated awareness of presentation skills What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

Let s do this. Let s change the world. In this vital role you will [act as a Business Analyst and Product Analyst for Amgen s enterprise Data Governance initiatives , focusing on tools, platforms, and frameworks that enable data stewardship, metadata management, data quality, security, and lineage. As a Senior Product Analyst, you will: Collaborate with data governance leads, business SMEs, data engineers, and product managers to gather, document, and manage requirements for Data Governance tools and programs. Lead stakeholder sessions to capture and refine needs across areas such as Metadata Management , Data Quality , Data Lineage , and Data Security . Develop user stories, process flows, and use cases for features related to governance platforms such as Collibra, Informatica, or similar tools. Define scope, success criteria, and KPIs for governance tools implementation and enhancements. Partner with product and engineering teams to translate requirements into technical design specifications and delivery roadmaps. Drive sprint-level execution by facilitating backlog grooming, user story refinement, and feature acceptance reviews. Support enterprise governance teams in evaluating vendor solutions and conducting proof-of-concepts (PoCs). Ensure change control, documentation, and training processes are in place for governance implementations. Apply a deep understanding of enterprise data landscapes and data governance frameworks to assess business impact and drive adoption. Maintain metadata, data catalogs, and stewardship models by ensuring tools reflect current data architecture and ownership. What we expect of you We are all different, yet we all use our unique contributions to serve patients. We are seeking a highly skilled and experienced Principal Product Analyst with a passion for innovation and a collaborative working style that partners effectively with business and technology leaders with these qualifications Basic Qualifications: Doctorate degree / Masters degree / Bachelors degree and 12 to 17 years of business analyst experience for enterprise Data Governance platforms and programs. Experience with tools like Collibra, Informatica Axon/EDC, Alation, or equivalent. Understanding of data lifecycle and principles of data quality, data security, metadata, and lineage. Strong key collaborator management and communication skills, including experience with executive-level reporting. Familiarity with Agile development processes and backlog management in JIRA, Azure DevOps, or similar tools. Ability to author and maintain documentation including business requirement documents, process diagrams, and RACI charts. Experience with writing user requirements and acceptance criteria Affinity to work in a DevOps environment and Agile mind set Ability to work in a team environment, effectively interacting with others Ability to meet deadlines and schedules and be accountable Preferred Qualifications: Industry certifications in data governance or data management (e.g., DCAM, CDMP). Understanding of data protection regulations such as GDPR, HIPAA, and CCPA. Experience with cloud-based data architectures (AWS, Azure, GCP). Strong analytical skills with working knowledge of SQL or data profiling tools. Exposure to enterprise MDM, data stewardship workflows, and metadata repositories. Must-Have Skills Excellent problem-solving skills and a passion for solving complex challenges in for Data Governance areas Experience with Agile software development methodologies (Scrum) Superb communication skills and the ability to work with senior leadership with confidence and clarity Has experience with writing user requirements and acceptance criteria in agile project management systems such as JIRA Experience in managing product features for PI planning and developing product roadmaps and user journeys Good-to-Have Skills: Demonstrated expertise in data and analytics and related technology concepts Understanding of data and analytics software systems strategy, governance, and infrastructure Familiarity with low-code, no-code test automation software Technical thought leadership Able to communicate technical or complex subject matters in business terms Jira Align experience Experience of DevOps, Continuous Integration, and Continuous Delivery methodology Soft Skills: Able to work under minimal supervision Excellent analytical and gap/fit assessment skills Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

Let s do this. Let s change the world. In this vital role you will responsible for developing and maintaining the overall IT architecture of the organization. This role involves defining the architecture vision, creating roadmaps, and ensuring that IT strategies align with business goals. You will be working closely with collaborators to understand requirements, develop architectural blueprints, and ensure that solutions are scalable, secure, and aligned with enterprise standards. Architects will be involved in defining the enterprise architecture strategy, guiding technology decisions, and ensuring that all IT projects adhere to established architectural principles. Roles & Responsibilities: Develop and maintain the enterprise architecture vision and strategy, ensuring alignment with business objectives Create and maintain architectural roadmaps that guide the evolution of IT systems and capabilities Establish and enforce architectural standards, policies, and governance frameworks Evaluate emerging technologies and assess their potential impact on the enterprise/domain/solution architecture Identify and mitigate architectural risks, ensuring that IT systems are scalable, secure, and resilient Maintain comprehensive documentation of the architecture, including principles, standards, and models Drive continuous improvement in the architecture by finding opportunities for innovation and efficiency Work with collaborators to gather and analyze requirements, ensuring that solutions meet both business and technical needs Evaluate and recommend technologies and tools that best fit the solution requirements Ensure seamless integration between systems and platforms, both within the organization and with external partners Design systems that can scale to meet growing business needs and performance demands Develop and maintain logical, physical, and conceptual data models to support business needs Establish and enforce data standards, governance policies, and best practices Design and manage metadata structures to enhance information retrieval and usability Contribute to a program vision while advising and articulating program/project strategies on enabling technologies Provide guidance on application and integration development best practices, Enterprise Architecture standards, functional and technical solution architecture & design, environment management, testing, and Platform education Drive the creation of application and technical design standards which leverage best practices and effectively integrate Salesforce into Amgen s infrastructure Troubleshoot key product team implementation issues and demonstrate ability to drive to successful resolution. Lead the evaluation of business and technical requirements from a senior level Review releases and roadmaps from Salesforce and evaluate the impacts to current applications, orgs, and solutions. Identification and pro-active management of risk areas and commitment to seeing an issue through to complete resolution Negotiate solutions to complex problems with both the product teams and third-party service providers Build relationships and work with product teams; contribute to broader goals and growth beyond the scope of a single or your current project What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Doctorate degree / Masters degree / Bachelors degree and 12 to 17 years of experience. Experience with SFDC Service Cloud/ Health Cloud in a call center environment Strong architectural design and modeling skills Extensive knowledge of enterprise architecture frameworks and methodologies Experience with system integration, IT infrastructure Experience directing solution design, business processes redesign and aligning business requirements to technical solutions in a regulated environment Experience working in agile methodology, including Product Teams and Product Development models Extensive hands-on technical and solution implementation experience with the Salesforce Lightning Platform, Sales Cloud and Service Cloud, demonstrating positions of increasing responsibility and management/mentoring of more junior technical resources Demonstrable experience and ability to develop custom configured, Visualforce and Lightning applications on the platform. Demonstrable knowledge of the capabilities and features of Service Cloud and Sales Cloud. Demonstrable ability to analyze, design, and optimize business processes via technology and integration, including leadership in guiding customers and colleagues in rationalizing and deploying emerging technology for business use cases A thorough understanding of web services, data modeling, and enterprise application integration concepts, including experience with enterprise integration tools (ESBs and/or ETL tools), and common integration design patterns with enterprise systems (e.g. CMS, ERP, HRIS, DWH/DM) Demonstrably excellent, context-specific and adaptive communication and presentation skills across a variety of audiences and situations; established habit of proactive thinking and behavior and the desire and ability to self-start/learn and apply new technologies Preferred Qualifications: Strong solution design and problem-solving skills Solid understanding of technology, function, or platform Experience in developing differentiated and deliverable solutions Ability to analyze client requirements and translate them into solutions Professional Certifications Salesforce Admin Advanced Admin Platform Builder Salesforce Application Architect (Mandatory) Soft Skills: Excellent critical-thinking and problem-solving skills Good communication and collaboration skills Demonstrated awareness of how to function in a team setting Demonstrated awareness of presentation skills What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

Let s do this. Let s change the world. In this vital role you will responsible for developing and maintaining the overall IT architecture of the organization. This role involves defining the architecture vision, creating roadmaps, and ensuring that IT strategies align with business goals. You will be working closely with collaborators to understand requirements, develop architectural blueprints, and ensure that solutions are scalable, secure, and aligned with enterprise standards. Architects will be involved in defining the enterprise architecture strategy, guiding technology decisions, and ensuring that all IT projects adhere to established architectural principles. Roles & Responsibilities: Develop and maintain the enterprise architecture vision and strategy, ensuring alignment with business objectives Create and maintain architectural roadmaps that guide the evolution of IT systems and capabilities Establish and enforce architectural standards, policies, and governance frameworks Evaluate emerging technologies and assess their potential impact on the enterprise/domain/solution architecture Identify and mitigate architectural risks, ensuring that IT systems are scalable, secure, and resilient Maintain comprehensive documentation of the architecture, including principles, standards, and models Drive continuous improvement in the architecture by finding opportunities for innovation and efficiency Work with collaborators to gather and analyze requirements, ensuring that solutions meet both business and technical needs Evaluate and recommend technologies and tools that best fit the solution requirements Ensure seamless integration between systems and platforms, both within the organization and with external partners Design systems that can scale to meet growing business needs and performance demands Develop and maintain logical, physical, and conceptual data models to support business needs Establish and enforce data standards, governance policies, and best practices Design and manage metadata structures to enhance information retrieval and usability Contribute to a program vision while advising and articulating program/project strategies on enabling technologies Provide guidance on application and integration development best practices, Enterprise Architecture standards, functional and technical solution architecture & design, environment management, testing, and Platform education Drive the creation of application and technical design standards which leverage best practices and effectively integrate Salesforce into Amgen s infrastructure Troubleshoot key product team implementation issues and demonstrate ability to drive to successful resolution. Lead the evaluation of business and technical requirements from a senior level Review releases and roadmaps from Salesforce and evaluate the impacts to current applications, orgs, and solutions. Identification and pro-active management of risk areas and commitment to seeing an issue through to complete resolution Negotiate solutions to complex problems with both the product teams and third-party service providers Build relationships and work with product teams; contribute to broader goals and growth beyond the scope of a single or your current project What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Master s degree with 8 - 10 years of experience in Computer Science, IT or related field OR Bachelor s degree with 10 - 14 years of experience in Computer Science, IT or related field OR Diploma with 14 - 18 years of experience in Computer Science, IT or related field Experience with SFDC Service Cloud/ Health Cloud in a call center environment Strong architectural design and modeling skills Extensive knowledge of enterprise architecture frameworks and methodologies Experience with system integration, IT infrastructure Experience directing solution design, business processes redesign and aligning business requirements to technical solutions in a regulated environment Experience working in agile methodology, including Product Teams and Product Development models Extensive hands-on technical and solution implementation experience with the Salesforce Lightning Platform, Sales Cloud and Service Cloud, demonstrating positions of increasing responsibility and management/mentoring of more junior technical resources Demonstrable experience and ability to develop custom configured, Visualforce and Lightning applications on the platform. Demonstrable knowledge of the capabilities and features of Service Cloud and Sales Cloud. Demonstrable ability to analyze, design, and optimize business processes via technology and integration, including leadership in guiding customers and colleagues in rationalizing and deploying emerging technology for business use cases A thorough understanding of web services, data modeling, and enterprise application integration concepts, including experience with enterprise integration tools (ESBs and/or ETL tools), and common integration design patterns with enterprise systems (e.g. CMS, ERP, HRIS, DWH/DM) Demonstrably excellent, context-specific and adaptive communication and presentation skills across a variety of audiences and situations; established habit of proactive thinking and behavior and the desire and ability to self-start/learn and apply new technologies Preferred Qualifications: Strong solution design and problem-solving skills Solid understanding of technology, function, or platform Experience in developing differentiated and deliverable solutions Ability to analyze client requirements and translate them into solutions Professional Certifications Salesforce Admin Advanced Admin Platform Builder Salesforce Application Architect (Mandatory) Soft Skills: Excellent critical-thinking and problem-solving skills Good communication and collaboration skills Demonstrated awareness of how to function in a team setting Demonstrated awareness of presentation skills What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

Let s do this. Let s change the world. In this vital role you will be responsible for ensuring the proper management, governance, quality, and accessibility of an organizations data. Ensure data is trustworthy, well-organized, and effectively used, playing a crucial role in enabling data-driven decision-making and maintaining regulatory compliance. The ideal candidate has deep technical skills, experience with Syniti Knowledge platform (SKP) technologies, and a deep understanding of data architecture and ETL processes. Roles & Responsibilities: Design, develop, and manage data migration solutions using the Syniti Knowledge Platform. Configure and optimize Syniti Data Replication (SDR) and Syniti Advanced Data Migration (ADM) solutions. Collaborate with team members to understand data governance and quality requirements and implement solutions to address them. Monitor and improve data accuracy, completeness, consistency, and reliability. Create and maintain metadata repositories for easy data identification and understanding. Manage access controls to ensure authorized personnel can access data. Safeguard sensitive and confidential data from unauthorized access. Work with data owners, data analysts, and IT teams to align data practices with business objectives. Act as a liaison between technical teams and business users to ensure data meets organizational needs. Develop and maintain documentation for data processes, standards, and workflows. Investigate and resolve data-related issues and discrepancies. Develop and maintain metrics to track data quality and stewardship effectiveness. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Master s degree and 1 to 3 years of Computer Science, IT or related field experience OR Bachelor s degree and 3 to 5 years of Computer Science, IT or related field experience OR Diploma and 7 to 9 years of Computer Science, IT or related field experience Preferred Qualifications: Demonstrate a solid understanding of Syniti s Data Migration methodology. Demonstrate strong proficiency in Syniti s tools(ADM, Data Quality, MDM, Mass maintenance & SDR), working to prescribed development standards. Good understanding of business processes for one or more assigned functional area, and the ability to quickly learn about new areas. Demonstrate a strong knowledge of underlying technical data structures and definitions of assigned functional process area. Develop data migration rules and reports in the Syniti s tools as per supplied specification. Evaluate and contribute to ongoing data migration design for assigned process area through data analysis, reporting and collaboration with on-site Syniti and client colleagues. Create and maintain data load programs. Experience with SAP Advanced Data Migration and Management(ADMM) Maintain related documentation and clearly communicate status to Syniti Team Leadership and customer PMO. Execution of end-to-end data loads and reconciliations. Proficiency in data analysis tools (eg. SQL) and experience with data visualization tools Database experience - SQL Server, Oracle etc. Good-to-Have Skills: Experience in ETL / Data Migration / Data Quality / Data Analysis. ERP techno-functional or functional experience, SAP preferred. Experience in SAP MDG Business Partner (Customer & Supplier), Material & Finance objects. Successfully participated in at least one or more full ERP implementation lifecycles. Working knowledge in SAFe development environment. Understanding of enterprise data strategy, data governance, data infrastructure. Working knowledge with cloud (e.g. AWS) and on-premises compute infrastructure. Database experience - SQL Server, Oracle etc. Professional Certifications: Agile Certified Practitioner (preferred) Syniti Certified Developer certification (preferred) Soft Skills: Excellent critical-thinking and problem-solving skills. Good communication and collaboration skills. Demonstrated awareness of how to function in a team setting. Demonstrated presentation skills. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

Let s do this. Let s change the world. In this vital role you will be responsible for ensuring the proper management, governance, quality, and accessibility of an organizations data. Ensure data is trustworthy, well-organized, and effectively used, playing a crucial role in enabling data-driven decision-making and maintaining regulatory compliance. The ideal candidate has deep technical skills, experience with Syniti Knowledge platform (SKP) technologies, and a deep understanding of data architecture and ETL processes. Roles & Responsibilities: Design, develop, and manage data migration solutions using the Syniti Knowledge Platform. Configure and optimize Syniti Data Replication (SDR) and Syniti Advanced Data Migration (ADM) solutions. Collaborate with team members to understand data governance and quality requirements and implement solutions to address them. Monitor and improve data accuracy, completeness, consistency, and reliability. Create and maintain metadata repositories for easy data identification and understanding. Manage access controls to ensure authorized personnel can access data. Safeguard sensitive and confidential data from unauthorized access. Work with data owners, data analysts, and IT teams to align data practices with business objectives. Act as a liaison between technical teams and business users to ensure data meets organizational needs. Develop and maintain documentation for data processes, standards, and workflows. Investigate and resolve data-related issues and discrepancies. Develop and maintain metrics to track data quality and stewardship effectiveness. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Master s degree and 1 to 3 years of Computer Science, IT or related field experience OR Bachelor s degree and 3 to 5 years of Computer Science, IT or related field experience OR Diploma and 7 to 9 years of Computer Science, IT or related field experience Preferred Qualifications: Demonstrate a solid understanding of Syniti s Data Migration methodology. Demonstrate strong proficiency in Syniti s tools(ADM, Data Quality, MDM, Mass maintenance & SDR), working to prescribed development standards. Good understanding of business processes for one or more assigned functional area, and the ability to quickly learn about new areas. Demonstrate a strong knowledge of underlying technical data structures and definitions of assigned functional process area. Develop data migration rules and reports in the Syniti s tools as per supplied specification. Evaluate and contribute to ongoing data migration design for assigned process area through data analysis, reporting and collaboration with on-site Syniti and client colleagues. Create and maintain data load programs. Experience with SAP Advanced Data Migration and Management(ADMM) Maintain related documentation and clearly communicate status to Syniti Team Leadership and customer PMO. Execution of end-to-end data loads and reconciliations. Proficiency in data analysis tools (eg. SQL) and experience with data visualization tools Database experience - SQL Server, Oracle etc. Good-to-Have Skills: Experience in ETL / Data Migration / Data Quality / Data Analysis. ERP techno-functional or functional experience, SAP preferred. Experience in SAP MDG Business Partner (Customer & Supplier), Material & Finance objects. Successfully participated in at least one or more full ERP implementation lifecycles. Working knowledge in SAFe development environment. Understanding of enterprise data strategy, data governance, data infrastructure. Working knowledge with cloud (e.g. AWS) and on-premises compute infrastructure. Database experience - SQL Server, Oracle etc. Professional Certifications: Agile Certified Practitioner (preferred) Syniti Certified Developer certification (preferred) Soft Skills: Excellent critical-thinking and problem-solving skills. Good communication and collaboration skills. Demonstrated awareness of how to function in a team setting. Demonstrated presentation skills. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

Let s do this. Let s change the world. In this vital role you will lead a team of data engineers to build, optimize, and maintain scalable data architectures, data pipelines, and operational frameworks that support real-time analytics, AI-driven insights, and enterprise-wide data solutions. As a strategic leader, the ideal candidate will drive best practices in data engineering, cloud technologies, and Agile development, ensuring robust governance, data quality, and efficiency. The role requires technical expertise, team leadership, and a deep understanding of cloud data solutions to optimize data-driven decision-making. Lead and mentor a team of data engineers, fostering a culture of innovation, collaboration, and continuous learning for solving complex problems of R&D division. Oversee the development of data extraction, validation, and transformation techniques, ensuring ingested data is of high quality and compatible with downstream systems. Guide the team in writing and validating high-quality code for data ingestion, processing, and transformation, ensuring resiliency and fault tolerance. Drive the development of data tools and frameworks for running and accessing data efficiently across the organization. Oversee the implementation of performance monitoring protocols across data pipelines, ensuring real-time visibility, alerts, and automated recovery mechanisms. Coach engineers in building dashboards and aggregations to monitor pipeline health and detect inefficiencies, ensuring optimal performance and cost-effectiveness. Lead the implementation of self-healing solutions, reducing failure points and improving pipeline stability and efficiency across multiple product features. Oversee data governance strategies, ensuring compliance with security policies, regulations, and data accessibility best practices. Guide engineers in data modeling, metadata management, and access control, ensuring structured data handling across various business use cases. Collaborate with business leaders, product owners, and cross-functional teams to ensure alignment of data architecture with product requirements and business objectives. Prepare team members for key partner discussions by helping assess data costs, access requirements, dependencies, and availability for business scenarios. Drive Agile and Scaled Agile (SAFe) methodologies, handling sprint backlogs, prioritization, and iterative improvements to enhance team velocity and project delivery. Stay up-to-date with emerging data technologies, industry trends, and best practices, ensuring the organization uses the latest innovations in data engineering and architecture. What we expect of you We are all different, yet we all use our unique contributions to serve patients. We are seeking a seasoned Engineering Manager (Data Engineering) to drive the development and implementation of our data strategy with deep expertise in R&D of Biotech or Pharma domain. Basic Qualifications: Doctorate degree OR Master s degree and 4 to 6 years of experience in Computer Science, IT or related field OR Bachelor s degree and 6 to 8 years of experience in Computer Science, IT or related field OR Diploma and 10 to 12 years of experience in Computer Science, IT or related field Experience leading a team of data engineers in the R&D domain of biotech/pharma companies. Experience architecting and building data and analytics solutions that extract, transform, and load data from multiple source systems. Data Engineering experience in R&D for Biotechnology or pharma industry Demonstrated hands-on experience with cloud platforms (AWS) and the ability to architect cost-effective and scalable data solutions. Proficiency in Python, PySpark, SQL. Experience with dimensional data modeling. Experience working 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. Experienced with AWS or GCP or Azure cloud services. Understanding of end to end project/product life cycle Well versed with full stack development & DataOps automation, logging frameworks, and pipeline orchestration tools. Strong analytical and problem-solving skills to address complex data challenges. Effective communication and interpersonal skills to collaborate with cross-functional teams. Preferred Qualifications: AWS Certified Data Engineer preferred Databricks Certificate preferred Scaled Agile SAFe certification preferred Project Management certifications preferred Data Engineering Management experience in Biotech/Pharma is a plus Experience using graph databases such as Stardog or Marklogic or Neo4J or Allegrograph, etc. 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.

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

Roles and Responsibilities Responsible for the development of Salesforce.com solutions within the scope of Business Applications projects and enhancements Apply best practices and technical/business experience to Salesforce solutions, including design trade-offs and communication of design decisions Work with backend systems, integration, and data warehouse team members to implement integrated data and process flows. Analyse and recommend improvements to existing data and process flows. Support Salesforce.com system administrators as necessary to set up fields, profiles, roles, security, and other configurations Responsible for source code management including check-in, code merges, and branch management, using tools such as Git and Jenkins Qualifications Required B.E / B.Tech / M.E / M.Tech / M.S / MCA graduate (preferably from a reputed college or University) with minimum 5-7 Years of experience in Salesforce development with a Product based company (Preferably Cloud or Mobile based) Technical Attributes Skills and Experience Required 5-7 years of experience in developing large-scale solutions on the Force.com platform. At least two large enterprise Salesforce implementation projects involving multiple releases, change management process, and/or multi-locale deployment. must have completed 2 salesforce certifications (PD-II is preferrable). Extensive experience with customization on the Salesforce platform In-depth knowledge of APEX with a strong experience of using developer toolkit including Apex Classes, Controllers, Async Apex and Triggers Experience working with large data sets and bulkification Strong knowledge of SOAP and REST web services experience creating customer-facing interfaces using Lightning Framework(Aura), Apex, VisualForce, LWC. Proficiency with SOQL & SOSL languages Experience in LWC is a must. Proficiency with HTML/CSS, Javascript, Jquery, Salesforce tools like Process Builder, Flows, Custom Metadata Type, etc.

Job Description: As a Senior Data Architect, you will be instrumental in shaping the bank s enterprise data landscape supporting teams in designing, evolving, and implementing data architectures that align with the enterprise target state and enable scalable, compliant, and interoperable solutions. You will also serve as the go-to expert and trusted advisor on what good looks like in data architecture, helping to set high standards and drive continuous improvement across the organization. This role is ideal for an experienced data professional with deep technical expertise, strong solution architecture skills, and a proven ability to influence design decisions across both business and technology teams. Responsibilities 1. Enterprise Data Architecture & Solution Design Support teams in designing, evolving, and implementing data architectures that align with the enterprise target state and enable scalable, compliant, and interoperable solutions. Serve as the go-to person for data architecture best practices and standards, helping to define and communicate what good looks like to ensure consistency and quality. Lead and contribute to solution architecture for key programs, ensuring architectural decisions are well-documented, justified, and aligned to enterprise principles. Work with engineering and platform teams to design end-to-end data flows, integration patterns, data processing pipelines, and storage strategies across structured and unstructured data. Drive the application of modern data architecture principles including event-driven architecture, data mesh, streaming, and decoupled data services. 2. Data Modelling and Semantics Provide hands-on leadership in data modelling efforts, including the occasional creation and stewardship of conceptual, logical, and physical models that support enterprise data domains. Partner with product and engineering teams to ensure data models are fit-for-purpose, extensible, and aligned with enterprise vocabularies and semantics. Support modelling use cases across regulatory, operational, and analytical data assets. 3. Architecture Standards & Frameworks Define and continuously improve data architecture standards, patterns, and reference architectures that support consistency and interoperability across platforms. Embed standards into engineering workflows and tooling to encourage automation and reduce delivery friction. Measure and report on adoption of architectural principles using architecture KPIs and compliance metrics. 4. Leadership, Collaboration & Strategy Act as a technical advisor and architectural leader across initiatives mentoring junior architects and supporting federated architecture teams in delivery. Build strong partnerships with senior stakeholders across the business, CDIO, engineering, and infrastructure teams to ensure alignment and adoption of architecture strategy. Stay current with industry trends, regulatory changes, and emerging technologies, advising on their potential impact and application. Skills Extensive experience in data architecture, data engineering, or enterprise architecture, preferably within a global financial institution. Deep understanding of data platforms, integration technologies, and architectural patterns for real-time and batch processing. Proficiency with data architecture tools such as Sparx Enterprise Architect, ERwin, or similar. Experience designing solutions in cloud and hybrid environments (e.g. GCP, AWS, or Azure), with knowledge of associated data services. Hands-on experience with data modelling, semantic layer design, and metadata-driven architecture approaches. Strong grasp of data governance, privacy, security, and regulatory compliance especially as they intersect with architectural decision-making. Strategic mindset, with the ability to connect architectural goals to business value, and communicate effectively with technical and non-technical stakeholders. Experience working across business domains including Risk, Finance, Treasury, or Front Office functions. Well-being & Benefits Emotionally and mentally balanced: we support you in dealing with life crises, maintaining stability through illness, and maintaining good mental health Empowering managers who value your ideas and decisions. Show your positive attitude, determination, and open-mindedness. A professional, passionate, and fun workplace with flexible Work from Home options. A modern office with fun and relaxing areas to boost creativity. Continuous learning culture with coaching and support from team experts. Physically thriving we support you managing your physical health by taking appropriate preventive measures and providing a workplace that helps you thrive Private healthcare and life insurance with premium benefits for you and discounts for your loved ones. Socially connected: we strongly believe in collaboration, inclusion and feeling connected to open up new perspectives and strengthen our self-confidence and wellbeing. Kids@TheOffice - support for unexpected events requiring you to care for your kids during work hours. Enjoy retailer discounts, cultural and CSR activities, employee sport clubs, workshops, and more. Financially secure: : we support you to meet personal financial goals during your active career and for the future Competitive income, performance-based promotions, and a sense of purpose. 24 days holiday, loyalty days, and bank holidays (including weekdays for weekend bank holidays).