Commercial AI Product Owner (Secondment 12 Months)

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 610 (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 for12 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.