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

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

Remote United States - Remote Full time Posted Today R-252248 Information Systems

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