Executive Director, Responsible AI & Enterprise Governance

Responsibilities:
- Drive the enterprise AI governance program with senior business stakeholders (AI governance forums, use case intake, enterprise-wide accountability).
- Lead citizen development governance (safe, auditable, enterprise-approved boundaries for non-technical builders).
- Define and own enterprise AI governance strategy across model types, risk tiers, and deployment contexts.
- Build and lead specialists across model validation, guardrails engineering, regulatory compliance, and citizen development governance.
- Establish the enterprise AI risk framework (taxonomy, classification standards, and control requirements across classical ML, foundation models, LLMs, fine-tuned models, and agentic systems).
- Set technical assurance (validation frameworks, red-teaming, production monitoring, and pre-production sign-off gates).
- Own end-to-end AI model lifecycle governance standard from ideation to deployment and monitoring.
- Drive LLM and agentic AI governance (grounding standards, retrieval integrity, tool use controls, autonomous action limits, human-in-the-loop enforcement).
- Own GxP AI validation strategy and audit readiness across regulated environments.
- Lead AI regulatory intelligence (FDA, EMA, EU AI Act, and emerging global frameworks) with Legal and business units.
- Partner with Legal, Compliance, Regulatory Affairs, and CISO on regulatory interpretation, risk posture, and technical standards.

Qualifications/Requirements:
- Bachelor’s degree in a related field; advanced degree required for certain scientific/clinical positions.
- 17+ years of experience in AI governance, risk management, regulatory affairs, or compliance.

Application instructions:
- Apply now.