About this role
WHAT YOU WILL ACHIEVE
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.
HOW YOU WILL ACHIEVE IT
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.
QUALIFICATIONS
Must-Have
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-Have
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.
OTHER JOB DETAILS
Last Date to Apply for Job: February 6, 2026
Additional Location Information: NO
Eligible for Relocation Package – NO
Secondment 12 months
If you are currently in a driving position with a fleet vehicle and this secondment does not require driving as an essential function of the position for 12 months or longer, you will be required to turn in your fleet vehicle for the duration of the non-driving secondment. Please refer to the Fleet Policy and Procedures document for more information.
There will be no change to your current work location.
Position is considered Flexible, and colleagues are expected to comply with Log In For Your Day (LIFYD) requirements at site location (e.g. about 2.5 days a week in office).
Relocation assistance may be available based on business needs and/or eligibility.
Sunshine Act
Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative.
EEO & Employment Eligibility
Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States.
Pfizer endeavors to make www.pfizer.com/careers accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email [email protected]. This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned.
Other facts
About Pfizer
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What you'll do
- The Commercial AI Product Owner will manage a portfolio of AI applications, overseeing their lifecycle and ensuring alignment with broader strategic initiatives. This role involves building relationships with end customers, defining roadmaps, managing backlogs, and leading cross-functional teams through development cycles.
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