AI Governance Lead

• Drive the enterprise AI governance program, use case intake, and cross-functional accountability with senior business stakeholders.
• Define and own enterprise AI governance strategy across classical ML, foundation models, LLMs, fine-tuned models, and agentic systems.
• Establish the enterprise AI risk framework, taxonomy, classification standards, and control requirements.
• Lead citizen development governance to create safe, auditable, and approved boundaries for non-technical builders.
• Build and lead a team of specialists spanning model validation, guardrails engineering, regulatory compliance, and governance.
• Set technical assurance standards including validation frameworks, red-teaming, production monitoring, and pre-production sign-off gates.
• Drive LLM and agentic AI governance around grounding, retrieval integrity, tool use controls, and human-in-the-loop enforcement.
• Own GxP AI validation strategy and audit readiness across all regulated environments.
• Lead regulatory intelligence for FDA, EMA, and EU AI Act frameworks in coordination with Legal, Compliance, and CISO.

• Bachelor’s degree in a related technical, regulatory, or business discipline.
• 5+ years of experience in AI governance, risk management, regulatory compliance, or AI/ML technical assurance.
• Proven track record driving GxP AI validation strategy within aLife Sciences or Biopharma environment.
• Deep knowledge of predictive, generative, and agentic systems and their respective production risk profiles.
• Demonstrated experience interpreting and applying FDA AI/ML guidance, EU AI Act, and emerging regulatory frameworks.
• Strong credibility communicating across engineering teams, regulatory bodies, and executive leadership.

Pulled from the full job description

• 401(k) matching
• Vision insurance
• Dental insurance, * Pay Rate: $90 - $110 per hour
• Available health, life, vision, and dental insurance
• 401K Matching
• Flexible hybrid/remote work arrangement options