Director, Data Governance, FAIR & AI Readiness

Amgen

United States

Hybrid

USD 180,000 - 280,000

Full time

14 days+

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Benefits offered by this job

Total Rewards Plan

Stock-based incentives

Flexible work arrangements

Job summary

Amgen in the United States seeks an Associate Director, Data Governance, FAIR, and AI-Readiness to lead enterprise data governance, FAIR data practices, and a data product operating model that makes trusted data available for analytics, automation, and AI innovation. The role emphasizes regulated data, compliance, data quality, and measurable outcomes across scientific and business domains.

You will partner with Data Architecture, Data Engineering, Digital, Security, Privacy, Legal, and business

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.

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.