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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Executive Director, Responsible AI & Enterprise Governance - **Company:** Regeneron - **Location:** Tarrytown, NY, United States - **Salary:** $255,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Large Language Models, Model Validation, GXP - **Published:** August 6, 2026 - **Apply:** https://www.biospace.com/logon?PipelinedPage=%2Fjob%2F3065673%2Fexecutive-director-responsible-ai-and-enterprise-governance%3FAction%3DContinueJobApplication%23application-form ## About the Role * 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 ## Description * Drive the enterprise AI governance program with senior business stakeholders across all Regeneron functions - AI governance forums, use case intake, and enterprise wide accountability * Lead the citizen development governance program - safe, auditable, enterprise-approved boundaries for non-technical builders * Define and own Regeneron's enterprise AI governance strategy across all model types, risk tiers, and deployment contexts * Build and lead a team of 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 the technical assurance that includes validation frameworks, red-teaming, production monitoring, and pre-production sign-off gates * Own the end-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, and human-in-the-loop enforcement * Own GxP AI validation strategy and audit readiness across all regulated environments * Lead AI regulatory intelligence e.g. FDA, EMA, EU AI Act and emerging global frameworks, coordinated with Legal and business units to get ahead of compliance obligations * Partner at the executive level with Legal, Compliance, Regulatory Affairs, and CISO on regulatory interpretation, risk posture, and technical standards This role might be for you if you: * Have led AI governance or technical risk functions in a complex, regulated industry and built the teams that execute them * Bring technical depth to set strategy and leadership range to hire and hold accountable the experts who implement it * Understand the distinct risk profiles of predictive, generative, and agentic systems and have governed them in production * Have driven GxP AI validation strategy in a life sciences or biopharma setting * Stay ahead of FDA AI/ML guidance, EU AI Act, and emerging frameworks and convert them into enterprise action * Operate with credibility at the engineering level and the board level * See AI governance as a strategic capability that accelerates the business and build it that way ## Related Videos - [Introduction to Responsible AI: Balancing Value and Risk](https://www.wearedevelopers.com/videos/1972-introduction-to-responsible-ai-balancing-value-and-risk) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow](https://www.wearedevelopers.com/videos/1525-beyond-gpt-building-unified-genai-platforms-for-the-enterprise-of-tomorrow) - [Creating Industry ready solutions with LLM Models](https://www.wearedevelopers.com/videos/899-creating-industry-ready-solutions-with-llm-models) - [Responsible AI in Practice: Real-World Examples and Challenges](https://www.wearedevelopers.com/videos/1104-responsible-ai-in-practice-real-world-examples-and-challenges) - [Lies, Damned Lies and Large Language Models](https://www.wearedevelopers.com/videos/1231-lies-damned-lies-and-large-language-models) ## Related Articles - [Should AI be Regulated? The Arguments For and Against](https://www.wearedevelopers.com/magazine/271-should-ai-be-regulated-the-arguments-for-and-against) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Panel Discussion: Responsible AI in Practice - Real-World Examples and Challenges](https://www.wearedevelopers.com/magazine/488-panel-discussion-responsible-ai-in-practice-real-world-examples-and-challenges) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)