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Associate Director, Data Governance, FAIR, and AI-Readiness

Job in Washington, District of Columbia, 20080, USA
Listing for: Amgen
Full Time position
Listed on 2026-08-21
Job specializations:
  • IT/Tech
    Data Engineering, Information Security & Data Protection, Data Warehousing
Job Description & How to Apply Below
** Join Amgen's Mission of Serving Patients*
* At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do.

Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas
-Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.

Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

** Associate Director, Data Governance, FAIR, and AI-Readiness*
* ** What you will do*
* Let's do this. Let's change the world. In this vital role you will  advance Enterprise Data Governance, FAIR data practices, and a data product operating model that makes trusted, reusable, and responsibly accessible data available for analytics, automation, and AI innovation.

The successful candidate will lead cross-functional data strategy and delivery across data domains, translating scientific and business priorities into scalable governance, metadata, quality, semantic interoperability, and data product capabilities.

** Key Responsibilities*
* + Lead the enterprise Data Governance, FAIR, and data product strategy and roadmap, aligning investments to scientific and business priorities.

+ Establish a value-realization framework to measure business outcomes, adoption, and return on investment from data initiatives.

+ Execute the Enterprise Data Strategy, including data ownership, reusable data products, lifecycle management, data contracts, and adoption measures.

+ Evolve a federated governance operating model with clear decision rights, data ownership, stewardship accountabilities, data councils, data standards, and escalation paths.

+ Evolve FAIR maturity across the enterprise, including embedding FAIR practices in the data lifecycle, metadata standards, persistent identifiers, controlled vocabularies, and access patterns.

+ Advance active metadata, data catalog, lineage, business glossary, semantic and knowledge graph capabilities to improve discovery, context, interoperability, and trust.

+ Set governance policies and controls for data quality, observability, privacy, security, retention, and responsible use; ensure fit-for-purpose data for regulated and AI-enabled use cases.

+ Partner with Data Architecture, Data Engineering, Digital, Security, Privacy, Legal, and business teams to operationalize governed data products across platforms and domains.

+ Enable responsible AI by defining and enforcing data readiness criteria.

+ Serve as the data engagement lead for an assigned business function, driving adoption of data management practices, including FAIR, to deliver measurable data improvements and business value.

+ Manage large-scale data programs, cross-functional initiatives, and external partners; communicate outcomes, risks, dependencies, and value realization to senior leadership.

** What we expect of you*
* We are all different, yet we all use our unique contributions to serve patients. The professional we seek is adata management leader with biotechnology or pharmaceutical industry experience with these qualifications.

** Basic Qualifications*
* Doctorate degree and 2 years of Data Management, Information Systems, or related experience

OR

Master's degree and 6 years of Data Management, Information Systems, or related experience

OR

Bachelor's degree and 8 years of Data Management, Information Systems, or related experience

OR

Associate degree and 10 years of Data Management, Information Systems, or related experience

** Mandatory

Skills and Qualifications *
* + Experience in the biotechnology or pharmaceutical industry, with an understanding of regulated data, business processes, and compliance requirements.

+ Demonstrated leadership of enterprise data governance, data management, active metadata, data quality, or data product initiatives across business and technology teams.

+ Hands-on understanding of FAIR data principles and their practical application through active metadata, standards, semantics, interoperability, and access controls.

+ Experience establishing data governance operating models, including data ownership, stewardship, policy, standards, controls, and issue management.

+ Strong stakeholder management, communication, and influencing skills, with the ability to translate complex data topics into business value and decisions.

**…
Position Requirements
10+ Years work experience
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