Associate Director, Data Governance, FAIR and AI-Readiness

About the role

Amgen is looking for an Associate Director to lead 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 role leads cross-functional data strategy and delivery across data domains, turning 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, aligned to scientific and business priorities.
• Establish a value-realization framework to measure business outcomes, adoption and ROI 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 decision rights, ownership, stewardship, data councils, standards and escalation paths.
• Evolve FAIR maturity across the enterprise, including metadata standards, persistent identifiers, controlled vocabularies and access patterns.
• Advance metadata, data catalog, lineage, business glossary, semantic and knowledge graph capabilities.
• Set governance policies for data quality, observability, privacy, security, retention and responsible use, fit 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.
• Define and enforce data readiness criteria for responsible AI, and act as data engagement lead for an assigned business function.
• Manage large-scale data programs, cross-functional initiatives and external partners, reporting to senior leadership.

Required profile

• Biotechnology or pharmaceutical industry experience, with an understanding of regulated data, business processes and compliance.
• Leadership of enterprise data governance, data management, active metadata, data quality or data product initiatives.
• Hands-on understanding of FAIR data principles and experience building data governance operating models.
• Preferred: experience implementing enterprise data strategy, data contracts, and responsible AI data readiness.

Required skills

• Preferred: active metadata, data observability, lineage, ontologies, knowledge graphs, policy-as-code.
• Preferred: Collibra, Databricks Unity Catalog, Reltio, SciBite or TopQuadrant.
• Preferred: experience managing external partners and geographically distributed delivery teams.

Qualifications

• Doctorate and 2 years, Master's and 6 years, Bachelor's and 8 years, or Associate degree and 10 years of Data Management, Information Systems or related experience.

What we offer

• Health, dental and vision coverage, life and disability insurance, and a retirement savings plan with company contributions.
• Discretionary annual bonus or sales-based incentive plan, stock-based long-term incentives.
• Award-winning time-off plans and flexible work models where possible.