Executive Director, Responsible AI & Enterprise Governance

Regeneron Pharmaceuticals•Tarrytown, GA

1d•$255,000 - $424,900•Hybrid

About The Position

Build our future together: At Regeneron, we use science and innovation to develop life-changing medicines for people with serious diseases. We're looking for an Executive Director, Responsible AI & Enterprise Governance to join our fast-moving Enterprise Data & AI organization. You'll build and run our enterprise AI governance framework, setting the policies, standards, and controls that let Regeneron move fast with confidence, auditability, and trust. You'll partner closely with Legal, Compliance, and the CISO to keep AI use safe, compliant, and aligned with our values. This role reports to the SVP, Chief AI Officer, and offers the chance to shape governance as an accelerant for AI adoption, not a barrier to it.

Requirements

A Bachelor's degree in a related field (advanced degree required for certain scientific or clinical positions)
17+ years of experience in AI governance, risk management, regulatory affairs, or compliance
Have built governance frameworks for AI or data systems in a complex, regulated enterprise
Bring deep knowledge of AI risk, ethics, and model governance, with real-world experience putting it into practice
Understand GxP validation requirements in a life sciences or biopharma setting
Stay current on the AI regulatory landscape, including FDA AI/ML guidance and the EU AI Act
Have enough technical depth in generative AI and LLM architecture to govern these systems with credibility
Communicate and build trust across Legal, Compliance, Regulatory Affairs, and business leadership
See governance as something that enables speed and trust, not something that slows things down
Enjoy developing senior governance and risk talent

Responsibilities

Build and maintain Regeneron's enterprise AI policy framework, keeping it practical and enforceable
Own the AI risk taxonomy, classifying use cases and setting controls that match their risk level
Embed ethics and fairness principles into how AI systems are designed, built, and evaluated
Set standards for AI transparency and explainability that hold up to regulators and stakeholders
Track the AI regulatory landscape across FDA, EMA, and the EU AI Act
Own GxP AI system validation and audit, keeping regulated systems audit-ready
Assess AI vendors and platforms for governance, transparency, and risk
Lead the enterprise AI incident management framework, from escalation through remediation