About The Position

The Commercial AI Product Owner will manage a portfolio of AI applications across US Commercial, overseeing their lifecycle from post-MLP handoff through sustained operation, expansion, or integration into enterprise products. This role partners with product leads across marketing, field, medical, and global access & value to align capabilities with broader strategic initiatives.

Requirements

  • BA/BS with 12+ years of experience leading cross-functional commercial projects.
  • Understanding of AI and machine learning frameworks and libraries.
  • Experience in leading teams.

Nice To Haves

  • MBA/MS with 10+ years of experience; OR PhD or JD with 7+ years of experience.
  • Experience with cloud platforms and tools for deploying AI models, such as AWS, Google Cloud, or Azure.
  • Experience in AI development, including hands-on experience with designing, training, and deploying AI models.
  • Ability to lead and inspire a team, fostering collaboration and innovation.
  • Strong project management skills, including the ability to plan, execute, and deliver projects on time.
  • Excellent communication skills for articulating complex technical concepts to non-technical stakeholders.
  • Strategic thinking to align AI initiatives with business goals and industry trends.
  • Strong analytical and problem-solving skills to tackle complex challenges in AI development.
  • Creativity to innovate and find novel solutions to problems.
  • Understanding of ethical considerations and biases in AI, and commitment to developing responsible AI systems.
  • Awareness of privacy and security issues related to AI and data handling.
  • Understanding of marketing, brand management and commercial analytics to ensure relevant and impactful solutions.
  • 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.

Responsibilities

  • Business engagement: Build strong relationships with end customers to understand workflows, identify pain points, and translate needs into product requirements across a diverse portfolio of AI applications.
  • Roadmap ownership: Define and maintain roadmaps across the portfolio, establishing scope, milestones, success metrics, and risks for each application. Ensure alignment with Digital, Marketing, and enterprise product stakeholders, with key commitments established within S1 2026.
  • Backlog management: Own the intake, refinement, sizing, and prioritization of backlog items to maximize business value and impact to business teams within capacity constraints.
  • Portfolio lifecycle management: Assess applications for sustain, expand, or integrate pathways; coordinate transitions with enterprise product owners when vertical integration is warranted.
  • Design readiness: Partner with translators and UX to define problem statements, message flows, prompts, and UI specifications tailored to user requirements. Design taxonomy to map domain knowledge for each brand and business, ensuring readiness for iterative development.
  • Governance alignment: Ensure compliance with data access, model approvals, risk controls, brand, and regulatory requirements before development begins.
  • Pod leadership: Lead a cross-functional team of 6–10 (data science, ML engineering, full-stack, solution architecture, UX, agent ops, business translators) through iterative development cycles.
  • Release management: Oversee release readiness including test plans, go/no-go decisions, stakeholder alignment, and deployment execution with engineering/DevOps.
  • Testing & monitoring: Conduct UAT and production smoke tests, validate guardrails and monitoring, and ensure systems meet SLOs/SLAs on latency, accuracy, availability, and cost.
  • Enablement & adoption: Partner with the Change Management & Training Lead and cross functional partners to support change management and drive adoption, providing input on training and communications while ensuring consistency of in-product guidance and messaging from the core product and marketing teams.
  • Issue resolution: Triage and resolve user issues, communicate updates and workarounds, and manage incident reporting trends.
  • Performance tracking: Track and report KPIs including adoption, relevance, business outcomes, and delivery predictability; continuously refine based on marketer and user feedback.
  • Collaboration: Partner with enterprise product leads to evaluate and execute integration pathways when portfolio applications align with larger strategic initiatives.
  • Culture & accountability: Foster a pod culture of clarity, speed, collaboration, and accountability to deliver measurable business impact.

Benefits

  • participation in Pfizer’s Global Performance Plan with a bonus target of 22,5% of the base salary and eligibility to participate in our share based long term incentive program
  • 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
  • health benefits to include medical, prescription drug, dental and vision coverage

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Number of Employees

5,001-10,000 employees

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