Associate Director Product Management Enterprise AI

Associate Director Product Management - Enterprise AI

Enterprise Data & AI Tarrytown NY

ROLE SUMMARY

Regenerons 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 a product leader for Regenerons 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 Associate Director Product Management - Enterprise AI will own the roadmap for a defined portfolio of enterprise 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 role also applies a forward deployed engineering approach embedding with global development and business unit teams to deploy AI and agentic solutions into production and returning field signal to shape the platform roadmap.

The successful candidate will be an integral member of the Enterprise Data & AI (EDAI) team and will work closely with the Chief AI Officers leadership team the AI Innovation leader the Platform Engineering team Delivery Managers and Business Unit IT partners. Together the team will leverage Regenerons rich data and state-of-the-art infrastructure to deliver platforms that are useful trusted and adopted at enterprise scale.

As Associate Director Product Management - Enterprise AI a typical day might include the following:

Product Strategy & Roadmap

• Own the release strategy and roadmap for an assigned portfolio of Regenerons AI platforms and tools aligned to the enterprise digital roadmap and the EDAI platform strategy

• 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.

Platform & Tools Delivery

• Lead the technical product development of assigned components 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.

• Run evaluation pilot and deployment of new technologies against the framework and criteria set with product leadership 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.

Forward Deployed Engineering

• Embed with business and scientific teams to scope build and deploy AI and agentic solutions from first prototype to stable production.

• Own discovery technical scoping system design and production rollout for priority deployments working alongside BU IT and Platform Engineering.

• Contribute hands-on to prototypes integrations and evaluations when progress or clarity depends on it.

• Evaluate and onboard new AI model capabilities including model upgrades tool use and MCP-based integrations against quality safety and cost criteria.

• Capture field feedback on where models and platforms succeed or fall short and feed it into the roadmap and evaluation suites.

• Codify repeatable patterns into reusable building blocks playbooks and reference architectures for adoption across business units.

This role might be for you if:

• Bachelors degree in related field required Masters MBA or advanced degree preferred

• 10 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.

• Experience in embedded or customer-facing technical delivery such as forward deployed engineering solutions engineering or applied AI prototyping.

• Hands-on engineering ability to prototype integrate and ship production-ready solutions including contributing in code when needed.

• Scopes and delivers complex deployments in ambiguous fast-moving environments balancing scope speed and quality.

• Comfortable owning roadmap budget inputs and outcomes for an assigned portfolio. Please copy and paste the desired job description for this role here. If you need a copy of an existing job description please reach out to TA or work with your HR Business Partner to develop one for a new role.

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 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 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 onsite. Please speak with your recruiter and hiring manager for more information about onsite 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)

Required Experience:

Director