Director, AI Product Management

ROLE SUMMARY

As the Director, AI Product Management, you lead a defined product, capability, or functional area across the full product lifecycle — from problem discovery through delivery and measurable outcomes. You identify meaningful user and business problems, shape product direction, partner with cross-functional teams to deliver solutions, and measure impact after release for all business units or therapeutic areas, operating at global scale. In this role, that area is an enterprise AI product for which you are the single point of product accountability, owning product strategy, the roadmap and the adoption outcomes the product is judged on, alongside an engineering lead accountable for technical delivery and a digital lead accountable for portfolio-level direction.

The product is AI-native and greenfield, in an area where no established internal template exists. You convert evolving AI governance, risk, privacy and security requirements into product capabilities, user journeys, controls and evidence suitable for governance review, spanning agent registration, evaluation and cost tracking. You are therefore accountable for product decisions with limited precedent: where the product’s scope sits, what gating applies, what evidence is required, and what makes these capabilities usable enough that the intended users adopt them rather than work around them.

You are responsible for a new product or a product supported by four or more Agile teams, and for investment decisions in the range of approximately $5M. You bring a strong blend of strategic thinking, structured problem-solving, customer focus, and execution discipline, while supporting delivery in contexts that involve some new or unknown GxP requirements. You work across a cross-functional stakeholder environment spanning engineering, legal, compliance, risk and security, together with the teams that use the product.

You create, own, and evolve the strategic product roadmap aligned to customer needs, business priorities, and measurable outcomes, prioritizing initiatives based on value, feasibility, customer impact, and organizational objectives, and aligning sequencing with delivery capacity and dependencies. For this product that is a multi-year direction set while AI governance, risk and security requirements continue to evolve.

ROLE RESPONSIBILITIES

• Product Lifecycle & Ownership: Lead a designated product, capability, or functional area from early opportunity assessment through launch and ongoing optimization, owning roadmap direction, prioritization, and product planning. Hold that ownership end to end for an enterprise AI product as its single point of product accountability, covering product strategy, the multi-year roadmap and adoption outcomes rather than delivery alone.
• Product Definition Without Precedent: Lead product definition for a greenfield AI product, developing options and recommendations on product scope, gating, evidence requirements and adoption where precedent is limited, and absorbing predecessor capabilities into a coherent product.
• Customer Discovery & Experimentation: Develop deep understanding of customer needs, workflow challenges, and business priorities, and convert research, feedback, usage patterns, and business context into clear product opportunities. Use experimentation, lightweight validation, and AI-supported approaches to accelerate learning and de-risk decisions.
• Prioritization, Trade-offs & Outcomes: Prioritize initiatives based on value, feasibility, customer impact, and organizational objectives, making thoughtful trade-offs across timing, scope, quality, and business value. Establish meaningful performance indicators and use results to inform future prioritization and demonstrate measurable business, customer, and operational impact, including product adoption.
• Cross-Functional Delivery: Partner with engineering, design, research, and data to ensure solutions are usable, scalable, and aligned, guiding initiatives through planning, refinement, development, release, and post-launch iteration. Align product requirements and consequential decisions across legal, compliance, risk and security, and lead cross-functional working sessions that resolve product questions and establish shared ways of working.
• Stakeholder Communication: Communicate direction, rationale, dependencies, and progress to stakeholders at multiple levels, operating effectively in large, global, enterprise environments, including the product framing and supporting material for recurring enterprise programme leadership discussions.
• Compliance-Aware Delivery: Support product work in regulated or compliance-sensitive contexts, addressing some new or unknown GxP requirements. Convert evolving AI governance, risk, privacy and security requirements into product capabilities, controls, workflows and evidence suitable for governance review, designed as integrated product capabilities rather than standalone policy requirements.

BASIC QUALIFICATIONS

• 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, sufficient to set product requirements and test technical trade-offs with engineering.
• Experience translating governance, risk, privacy or security requirements into product capabilities, workflows and evidence, rather than documentation alone.
• 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.

PREFERRED QUALIFICATIONS

• MBA or master’s degree.
• Experience in healthcare, life sciences, or another regulated industry.
• Experience driving adoption of a new product across diverse user groups.
• Experience establishing AI governance, responsible-AI or model risk practices in a product context.
• Exposure to AI-supported product discovery and decision-making practices.
• Experience working with teams across regions or time zones.

 
Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact.
Work Location Assignment: On Premise

On site strongly preferred. Remote locations will only be considered for internal candidates who are already designated remote.

Last Date to Apply for Job: 10/26/2026

 

 

The annual base salary for this position ranges from $162,900.00 to $271,500.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 20.0% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site – U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States.

 

 

 

 

 

 

This role is posted in multiple locations. If you are applying for the role in an secondary job posting location where pay transparency regulations apply, your Talent Advisor will share the local pay information with you during the first interview.

 

 

Relocation assistance may be available based on business needs and/or eligibility.

 

 

Candidates must be authorized to be employed in the U.S. by any employer.

U.S. work visa sponsorship (such as TN, O-1, H-1B, etc.) is not available for this role now or in the future.

 

 

 

 

 

 

To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on Pfizer Careers.

 

 

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