The posting
Build our future together:
Regeneron’s newly established Enterprise Data & AI organization is built to drive AI transformation and adoption at scale across every part of the enterprise. This is a high-visibility, high-velocity position where the work is directly tied to business and scientific impact.
As the product leader for Regeneron's AI platforms and tools, the successful candidate will have the potential for massive impact and help shape how the enterprise builds, accesses, and adopts AI capabilities. The Sr Director Product Management – Enterprise AI Platforms & Tools will set AI platform strategy and roadmap for the platforms and tools that put AI into the hands of colleagues across the organization, from internal AI assistants to secure data-connected applications to agentic solutions. They will translate business needs into clear technical requirements, frame decisions with a transparent view into their assumptions and the rigor behind them and proactively use data to inspire the next generation of capabilities.
The successful candidate will be part of the Enterprise Data & AI (ED&AI) team within the AI Center of Excellence (AICOE), working closely with the Chief AI Officer, the AI Innovation Leader, the Platform Engineering team, Delivery Managers, and BU IT partners. Together with this network, they will leverage Regeneron's rich data and state-of-the-art infrastructure to deliver platforms that are useful, trusted, and adopted at enterprise scale.
When & where:
This position can be based in any of our Tri- State area campuses: Tarrytown, NY; Sleepy Hollow, NY; Armonk, NY or Warren, NJ.
Discover your role:
- Own the release strategy and roadmap for Regeneron's AI platforms and tools, aligned to the enterprise digital roadmap.
- Build business cases to develop, acquire, or invest in new AI/ML capabilities, datasets, platforms, and tools.
- Prioritize ruthlessly across competing demands, framing recommendations with clear assumptions and analytical rigor.
- Develop deep insight into colleague and end-user pain points and identify the highest-value opportunities to improve their experience.
- Define requirements for core platform capabilities — data access, model serving, search/ranking, automation pipelines, and self-serve tools.
- Lead the technical product development of large-scale AI platforms, machine learning/AI models, and supporting tooling, partnering with engineering and Business Digital teams to ship high-quality deliverables.
- Define requirements for core platform capabilities — data access, model serving, search/ranking, automation pipelines, and self-serve tools.
- Guide the use of cloud technologies (AWS, Azure, GCP) for building and deploying automated ML and analytics pipelines.
- Setting the evaluation framework and criteria, pilot, and deploy new technologies as appropriate, building toward an industry-leading internal AI ecosystem.
- Drive product adoption: measure usage, gather feedback, and continuously improve.
- Partner with GCC engineering teams to translate platform architecture decisions and product requirements into well-scoped, production-ready deliverables; maintain ongoing alignment on roadmap priorities, handoff standards, and delivery quality to ensure continuity between applied AI prototyping and GCC-led build and operate.
This role requires:
- Bachelor's degree in related field required, Masters, MBA, or advanced degree preferred
- 15+ years of progressive experience in technical product management
- Strong working knowledge of large language models (LLMs), foundation models, and modern generative AI — including their capabilities, limitations, and evaluation.
- Familiarity with agentic AI: autonomous and multi-step agents, tool use, planning/orchestration, and human-in-the-loop design.
- Hands-on understanding of emerging interoperability standards, including the Model Context Protocol (MCP) for connecting models to tools and data, and Agent-to-Agent (A2A) protocols for multi-agent coordination.
- Experience with retrieval-augmented generation (RAG), vector databases, embeddings, and grounding models in enterprise data.
- Familiarity with prompt engineering, context engineering, fine-tuning, and model customization techniques.
- Understanding of AI evaluation and observability — building evals, measuring quality/safety, monitoring drift, and managing model/agent performance in production.
- Awareness of responsible and secure AI practices: guardrails, access controls, data privacy, and AI governance frameworks.
- Familiarity with MLOps/LLMOps tooling and orchestration frameworks for building, deploying, and maintaining AI applications and pipelines.
- Translates ambiguous business needs into clear product requirements and measurable outcomes.
- Balances technical depth with product judgment and stakeholder empathy.
- Keen eye for detail and thoughtful scrutiny of data before relying upon it.
- Drives consensus across engineering, data science, business, IT, and Legal.
- Comfortable owning roadmap, budget, and outcomes end-to-end.
Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We are committed to building a workplace with an inclusive culture. Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, sexual orientation, gender identity or expression, gender reassignment, marital or civil partnership status, civil status, pregnancy or parental status, age, disability, nationality, citizenship status, ethnic or national origin, membership of the Traveler community, familial status, genetic information, military or veteran status, or any other characteristic protected under applicable law. Where required, we will provide reasonable accommodation to applicants with known disabilities or chronic illnesses during the recruitment process, unless such accommodation would impose undue hardship.
Where necessary, we disclose salary ranges for roles in all countries in which we operate. The final offer will be determined within the relevant range based on the country of employment, specific role level, and your skills and experience. In some countries, collective bargaining agreements (CBAs) may apply and influence certain elements of pay or benefits. Regeneron offers a competitive and comprehensive total rewards package which may include, depending on country and role: annual bonuses or other incentive plans, equity awards, pension or retirement benefits, 401(k) company match, health and wellness programs, fitness centers, insurance benefits (e.g. medical, dental, vision, life and disability), paid time off, and family support benefits. For additional information about Regeneron benefits in the U.S., please visit https://careers.regeneron.com/en/working-at-regeneron/total-rewards/. For other locations, additional information will be provided during the recruitment process. If you have any questions, please speak with your recruiter.
Please be advised that at Regeneron, we believe we do our best work when we are together. For that reason, many roles are required to be performed on‑site. Please speak with your recruiter and hiring manager for more information about on‑site expectations for your role and location.
As part of the recruitment process, certain background checks may be conducted in accordance with the laws of the country where the position is based. The purpose of such checks is to verify certain information prior to the commencement of employment such as identity, right to work and educational qualifications.
For jobs in Canada: this posting is for an existing position.
Salary Range (annually)
$216,100.00 - $360,200.00
