Director, AI Product – Innovation & Emerging Technology

Pfizer

. Define and drive the AI product innovation strategy for emerging and transformative use cases across PGS .

Posted 10/23/2026full-timeUnited StatesLead💰 $162,900 - $271,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI product management, innovation strategy, and the development of agentic AI prototypes. Proficient in translating business processes into effective AI workflows while ensuring responsible AI practices and governance.

Highest-signal resume keywords

AI Product ManagementAgentic AI PrototypingBusiness Case DevelopmentLLMs and Prompt EngineeringStrategic Decision Influence

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Hard Skills

Product ManagementInnovation LeadershipPython ProgrammingJavaScript ProgrammingAPI IntegrationData StructuringAgent Workflow DesignEvaluation Criteria EstablishmentBusiness Case DevelopmentAI Governance

Soft Skills

Exceptional CommunicationThought LeadershipInfluencing Senior LeadersCollaboration Across TeamsAdaptability to Time Zones

Tools & Technologies

Agent-Building PlatformsEnterprise-Approved PlatformsLightweight Code FrameworksAI Evaluation ToolsIntegration Tools

Industry Keywords

AI Innovation StrategyResponsible AI PracticesEnterprise Delivery FrameworksEmerging AI TechnologiesInvestment Strategies

Tech Stack

Tools & technologies

JavaScriptPython

About the role

Key responsibilities & impact

Define and drive the AI product innovation strategy for emerging and transformative use cases across PGS
Lead discovery, assessment, and productization of lighthouse AI initiatives from concept through production and enterprise adoption
Design, build, and iterate rapid agentic AI prototypes using enterprise-approved platforms, agent frameworks, and lightweight code
Translate business processes into agent workflow designs with goals, data sources, tool interactions, approval points, and exception handling
Establish evaluation scenarios and acceptance criteria for task success, output quality, safe tool use, latency, and cost
Partner with the agentic delivery team on technical design reviews, backlog refinement, prototype handoff, and production readiness
Advise senior leaders on AI investment priorities, risks, value realization, and resource requirements
Develop business cases, investment recommendations, and value realization frameworks
Monitor emerging AI technologies, foundation models, industry trends, and competitive developments
Partner with Digital, platform engineering, data, architecture, and delivery leaders on model, orchestration, integration, reliability, cost, latency, and scalability decisions
Establish best practices for AI product management, innovation governance, and responsible AI adoption
Embed approved data access, least-privilege permissions, human oversight, traceability, and risk-appropriate evaluation into prototypes
Influence enterprise product strategy and roadmap decisions through reusable solutions and scaling opportunities
Act as a thought leader and ambassador for AI product innovation with executive stakeholders

Requirements

What you’ll need

Bachelor's degree in Business, Computer Science, Engineering, Information Systems, or a related field with at least 8 years of relevant experience; OR a master's degree with at least 7 years of experience
Significant experience in product management and innovation leadership, including taking early-stage concepts through experimentation, productization, and adoption at scale
Hands-on knowledge of LLMs and agentic AI, including prompt and context engineering, RAG, tool/function calling, orchestration, state and memory, and human-in-the-loop controls
Ability to determine when an agent, simpler AI workflow, or conventional automation is appropriate
Demonstrated ability to build and iterate working agentic prototypes using at least one agent-building platform or framework
Practical proficiency writing, reading, and debugging lightweight Python or JavaScript
Experience with APIs and structured data
Ability to inspect agent execution traces and evaluation results
Ability to engage engineers on architecture, integration, failure modes, and production-readiness trade-offs
Proven track record developing business cases, investment strategies, and value realization frameworks securing executive sponsorship and funding
Ability to influence senior leaders and drive strategic decisions across highly matrixed organizations without direct authority
Strong understanding of AI governance, responsible AI practices, product operating models, and enterprise delivery frameworks
Exceptional communication skills translating technical concepts into business outcomes for senior leadership
Demonstrated thought leadership through industry engagement, external partnerships, innovation forums, speaking opportunities, publications, or enterprise-wide influence
Proven ability to shape organizational capabilities, standards, and ways of working
Ability to travel domestically and internationally up to 15% of the year
Willingness to work off-hours across global time zones and extended or non-standard hours during peak periods
Candidates must be authorized to be employed in the U.S. by any employer
This position requires permanent work authorization in the United States
U.S. work visa sponsorship is not available now or in the future

Benefits

Comp & perks

Pfizer Global Performance Plan with a bonus target of 20.0% of base salary
Share-based long-term incentive program eligibility
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