Director, AI Platform Product Management

Pfizer

. Lead an enterprise AI platform product across the full lifecycle, from problem discovery through delivery and measurable outcomes .

Posted 9/17/2026full-timeNew York City • New York • United StatesLead💰 $162,900 - $271,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading AI platform product management, including strategy development, product accountability, and cross-functional collaboration. Proficient in translating complex governance and risk requirements into actionable product capabilities while driving adoption and measurable outcomes.

Highest-signal resume keywords

Product Strategy DevelopmentAI-Enabled Product ManagementCross-Functional CollaborationGovernance and Risk TranslationAgile Product Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Product ManagementAI GovernanceRisk ManagementProduct Roadmap DevelopmentData AnalysisUser Journey MappingPerformance Indicator EstablishmentCustomer Feedback UtilizationCost MeasurementWorkflow Design

Soft Skills

Influencing PeersCoaching OthersCollaborationCommunicationProblem-Solving

Tools & Technologies

Agile MethodologiesLean MethodologiesAI ToolingData Analytics ToolsProduct Framing Tools

Certifications & Qualifications

Bachelor's DegreeMBA or Master's Degree (Preferred)

Industry Keywords

HealthcareLife SciencesRegulated IndustryEnterprise SettingsGlobal Teams

About the role

Key responsibilities & impact

Lead an enterprise AI platform product across the full lifecycle, from problem discovery through delivery and measurable outcomes
Own product strategy, multi-year roadmap, prioritization, product planning, and platform adoption outcomes
Serve as the single point of product accountability and primary product voice for the platform
Define product boundaries, gating, evidence requirements, and adoption strategy for a greenfield platform with limited precedent
Convert evolving AI governance, risk, privacy, and security requirements into product capabilities, user journeys, controls, workflows, and governance evidence
Lead customer discovery, experimentation, lightweight validation, and AI-supported learning to identify product opportunities and de-risk decisions
Prioritize initiatives based on value, feasibility, customer impact, and organizational objectives
Establish performance indicators and use results to measure business, customer, operational, and platform adoption impact
Partner with engineering, design, research, data, legal, compliance, risk, security, and agent-building teams through planning, development, release, and post-launch iteration
Lead cross-functional working sessions to resolve product questions and establish shared ways of working
Communicate product direction, rationale, dependencies, and progress to stakeholders across global enterprise environments
Prepare product framing and supporting material for recurring enterprise programme leadership discussions
Support delivery involving new or unknown GxP requirements
Make investment decisions for a new product or product supported by four or more Agile teams, involving approximately $5M

Requirements

What you’ll need

Bachelor’s degree and 8+ years of product management or related experience (or 7+ years with an MBA/MS, 5+ years with a PhD/JD, or 4+ years with an MD/DVM)
Demonstrated ownership of a product or feature set through multiple stages of delivery
Demonstrated end-to-end product accountability covering strategy, roadmap and adoption or usage outcomes rather than delivery alone
Experience with AI-enabled or agentic products, including platforms or capabilities used by teams that build and operate AI agents
Working fluency in technical foundations of modern AI products, including agent tooling, model and system evaluation, and usage or cost measurement
Experience translating governance, risk, privacy or security requirements into product capabilities, workflows and evidence
Experience defining a product where precedent is limited, including making and defending scope and boundary decisions
Experience partnering across engineering, design, analytics, and business functions
Track record of using customer feedback and data to shape product priorities
Familiarity with iterative product development (Agile, Lean, or similar models)
Experience operating in large, global, enterprise settings with distributed teams
Ability to influence and collaborate with peers, develop and coach others, and oversee and guide colleagues to achieve meaningful outcomes and business impact
Preferred: MBA or master’s degree
Preferred: Experience in healthcare, life sciences, or another regulated industry
Preferred: Experience driving adoption of an internal platform or shared capability across independent teams
Preferred: Experience establishing AI governance, responsible-AI or model risk practices in a product context
Preferred: Exposure to AI-supported product discovery and decision-making practices
Preferred: Experience working with teams across regions or time zones
Candidates must be authorized to be employed in the U.S. by any employer
U.S. work visa sponsorship is not available now or in the future
Position requires permanent work authorization in the United States

Benefits

Comp & perks

Global Performance Plan bonus target of 20.0% of base salary
Share based long term incentive program
401(k) plan with Pfizer Matching Contributions
Additional Pfizer Retirement Savings Contribution
Paid vacation
Paid holiday and personal days
Paid caregiver/parental and medical leave
Medical, prescription drug, dental and vision coverage
Relocation support may be available
Relocation assistance may be available based on business needs and/or eligibility