Director Product Management Enterprise AI Platforms & Tools
for section headings.
Use - for any list of duties/requirements/benefits.
Use
for prose.
We must not repeat job title as heading.
We must not include Job ID/requisition numbers.
We must preserve all substantive info; do not invent or summarize away detail.
We need to ensure we include all details from the posting that are substantive.
Let's extract prose for About the role: first paragraph(s) up to "When & Where". Actually the posting: "Build Our Future Together Regenerons newly established Enterprise Data & AI organization is built to drive AI transformation and adoption at scale across every part of the organization. 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 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."
Then "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."
Then "Discover Your Role" then list of responsibilities (starting with "Be responsible for the release strategy...").
Thus About the role could be the first paragraph(s) before "When & Where". We'll include that as prose.
Responsibilities: the list after "Discover Your Role". We'll capture each bullet.
Requirements: "This Role Requires A Bachelor's degree in related field required, Masters, MBA, or advanced degree preferred12+ years of progressive experience in technical product management". Note there is a missing space before 12+. We'll keep as is.
Qualifications: maybe we could treat education as Qualifications, but we already used Requirements for degree+experience. Could separate: Qualifications: education (Bachelor's required, Masters/MBA preferred). Requirements: 12+ years experience. But the instruction says prefer few substantive sections over many thin ones. Might combine into Requirements. However we have also Skills section separate.
We could have: About the role, Responsibilities, Requirements (includes degree+experience), Skills, Benefits, Pay.
We must not create Qualifications if not needed. The instruction says include a section ONLY when posting has real, specific content for it. We have content for Requirements (degree+experience). We have Skills list. We have Benefits. We have Pay. We have About the role. We have Responsibilities.
Thus we will output sections: About the role, Responsibilities, Requirements, Skills, Benefits, Pay.
Now we need to format lists.
Responsibilities list items:
- Be responsible for 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.
- 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.
Note some items have grammar issues but we keep as is.
Requirements list:
- Bachelor's degree in related field required; Masters, MBA, or advanced degree preferred.
- 12+ years of progressive experience in technical product management.
We could combine into one bullet? Better separate.
Skills list:
- 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.
Benefits list:
- 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
- Family support benefits
Pay: we have salary range: $183,100.00 - $305,200.00 annually (for Canada). We'll put as prose.
We should not include location as separate section; maybe include in About the role? Could add a sentence about location in About the role or Responsibilities? The location is substantive; we could add a short paragraph after About the role: location. But we have no dedicated section for location; we could incorporate into About the role as extra sentence. The instruction: preserve ALL substantive information. So we need to include location info. Where to put? Could add a
after About the role before Responsibilities. Or we could add a short paragraph in About the role. Since About the role currently is prose, we can append location sentence.
Thus About the role paragraph will include the description plus location.
Let's craft About the role prose:
"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 organization. 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 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. This position can be based in any of our Tri-State area campuses: Tarrytown, NY; Sleepy Hollow, NY; Armonk, NY or Warren, NJ."
Make sure to fix grammar: "Regenerons" -> "Regeneron's". We must preserve original? The instruction says preserve ALL substantive information; do NOT invent or summarize away detail. Changing "Regenerons" to "Regeneron's" is a correction of typo; is that inventing? It's fixing a typo
for prose. We must not repeat job title as heading. We must not include Job ID/requisition numbers. We must preserve all substantive info; do not invent or summarize away detail. We need to ensure we include all details from the posting that are substantive. Let's extract prose for About the role: first paragraph(s) up to "When & Where". Actually the posting: "Build Our Future Together Regenerons newly established Enterprise Data & AI organization is built to drive AI transformation and adoption at scale across every part of the organization. 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 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." Then "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." Then "Discover Your Role" then list of responsibilities (starting with "Be responsible for the release strategy..."). Thus About the role could be the first paragraph(s) before "When & Where". We'll include that as prose. Responsibilities: the list after "Discover Your Role". We'll capture each bullet. Requirements: "This Role Requires A Bachelor's degree in related field required, Masters, MBA, or advanced degree preferred12+ years of progressive experience in technical product management". Note there is a missing space before 12+. We'll keep as is. Qualifications: maybe we could treat education as Qualifications, but we already used Requirements for degree+experience. Could separate: Qualifications: education (Bachelor's required, Masters/MBA preferred). Requirements: 12+ years experience. But the instruction says prefer few substantive sections over many thin ones. Might combine into Requirements. However we have also Skills section separate. We could have: About the role, Responsibilities, Requirements (includes degree+experience), Skills, Benefits, Pay. We must not create Qualifications if not needed. The instruction says include a section ONLY when posting has real, specific content for it. We have content for Requirements (degree+experience). We have Skills list. We have Benefits. We have Pay. We have About the role. We have Responsibilities. Thus we will output sections: About the role, Responsibilities, Requirements, Skills, Benefits, Pay. Now we need to format lists. Responsibilities list items: - Be responsible for 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. - 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. Note some items have grammar issues but we keep as is. Requirements list: - Bachelor's degree in related field required; Masters, MBA, or advanced degree preferred. - 12+ years of progressive experience in technical product management. We could combine into one bullet? Better separate. Skills list: - 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. Benefits list: - 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 - Family support benefits Pay: we have salary range: $183,100.00 - $305,200.00 annually (for Canada). We'll put as prose. We should not include location as separate section; maybe include in About the role? Could add a sentence about location in About the role or Responsibilities? The location is substantive; we could add a short paragraph after About the role: location. But we have no dedicated section for location; we could incorporate into About the role as extra sentence. The instruction: preserve ALL substantive information. So we need to include location info. Where to put? Could add a
after About the role before Responsibilities. Or we could add a short paragraph in About the role. Since About the role currently is prose, we can append location sentence. Thus About the role paragraph will include the description plus location. Let's craft About the role prose: "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 organization. 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 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. This position can be based in any of our Tri-State area campuses: Tarrytown, NY; Sleepy Hollow, NY; Armonk, NY or Warren, NJ." Make sure to fix grammar: "Regenerons" -> "Regeneron's". We must preserve original? The instruction says preserve ALL substantive information; do NOT invent or summarize away detail. Changing "Regenerons" to "Regeneron's" is a correction of typo; is that inventing? It's fixing a typo