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Pfizer

Director, AI Product Management

Pfizer

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

Posted 10/20/2026full-timeUnited StatesLead💰 $162,900 - $271,500 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in leading AI product strategy and lifecycle management, with a strong focus on governance, risk, and compliance in enterprise environments. Proven ability to translate customer insights and technical foundations into actionable product capabilities and measurable outcomes.

Highest-signal resume keywords
AI Product ManagementProduct Strategy DevelopmentGovernance and Risk TranslationCross-Functional CollaborationIterative Product Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Product Lifecycle ManagementAI-Enabled Product ExperienceData-Driven Decision MakingScope Definition and Boundary DecisionsPerformance Indicator EstablishmentCustomer Feedback AnalysisAgile MethodologiesModel EvaluationCost MeasurementUser Journey Development
Soft Skills
Stakeholder CommunicationLeadership in Cross-Functional TeamsProblem-Solving
Industry Keywords
Enterprise AICompliance-Sensitive ContextsGxP RequirementsGlobal Enterprise EnvironmentsProduct Adoption Outcomes

About the role

Key responsibilities & impact
  • Lead an enterprise AI product across the full product lifecycle, from problem discovery through delivery and measurable outcomes
  • Own product strategy, the multi-year roadmap, prioritization, product planning and adoption outcomes
  • Define a greenfield AI product’s scope, gating, evidence requirements and adoption approach where precedent is limited
  • Convert evolving AI governance, risk, privacy and security requirements into product capabilities, user journeys, controls, workflows and evidence
  • Develop customer understanding and translate research, feedback, usage patterns and business context into product opportunities
  • Use experimentation, lightweight validation and AI-supported approaches to accelerate learning and de-risk decisions
  • Prioritize initiatives based on value, feasibility, customer impact and organizational objectives
  • Establish performance indicators and use results to demonstrate business, customer and operational impact
  • Partner with engineering, design, research and data through planning, development, release and post-launch iteration
  • Align product requirements and consequential decisions across legal, compliance, risk and security
  • Lead cross-functional working sessions and resolve product questions
  • Communicate direction, rationale, dependencies and progress to stakeholders at multiple levels in global enterprise environments
  • Support product work involving regulated or compliance-sensitive contexts and new or unknown GxP requirements

Requirements

What you’ll need
  • Bachelor’s degree, or comparable practical experience
  • 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
  • Working fluency in the 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
  • Candidates must be authorized to be employed in the U.S. by any employer
  • Permanent work authorization in the United States is required
  • U.S. work visa sponsorship is not available now or in the future

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, holiday and personal days
  • Paid caregiver/parental and medical leave
  • Medical, prescription drug, dental and vision coverage
  • Relocation assistance may be available based on business needs and/or eligibility