Sr. Director, US Commercial Product Lead, AIA
Listed on 2026-03-01
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IT/Tech
Data Science Manager -
Business
ROLE SUMMARY
The US Product Lead will own the AI product roadmap across US Commercial, ensuring strategic alignment and delivery of AI-driven solutions that enhance commercial performance. This role serves as the point of contact (POC) for a broad set of US Commercial domains, enabling pod reuse of domain agents and fostering innovation. The position will sit on the AIA Leadership Team (LT) and lead a large portfolio of products supporting Field and GAV as well as a team of seasoned, Senior Director-level Product Owners responsible for AI products in these domains.
Additionally this Product lead will be responsible for supporting the prototyping, Alpha delivery and implementation plans for all Tier 2 use cases
Enterprise visibility & leadership exposure: This role will operate with regular exposure to senior leadership (ELT level) and will be accountable for driving outcomes tied to an ELT and CEO sponsored priority.
Decisions and execution from this role will directly impact how ~7,000+ colleagues across Commercial operate, adopt, and realize value from AI-enabled capabilities. There will also be use-cases that overlap with international commercial organization (ICO) and this role will be expected to drive synchronization and standardization in partnership with the involved teams.
In addition to current scope, the role is expected to influence and coordinate across focus products and product owner teams, with expansion likely as the model matures. The expectation is that this role will be key in owning the vision, and execution for the future of commercial AI for Pfizer.
ROLE RESPONSIBILITIESAI Product Strategy &
Roadmap:
- The role is responsible for leading the commercial organization’s end-to-end execution against one of the core Blueprint pillars, spanning all three Business Unit Presidents and the EVP, Chief Commercial Officer (+LT)
- Own and define the AI product roadmap for US Commercial domains
- Align roadmap with enterprise priorities, value delivery commitments, regulatory requirements, and technology standards.
- Thought partner with Product Owners in the definition and prioritization of detailed product capabilities
- Define and execute on excellent product design and delivery principles.
Financial accountability:
- The role will manage a meaningful budget and play a significant role in delivering on committed commercial savings targets that have already been communicated at the enterprise level, including commitments made to the office of the CEO
Domain Leadership & Enablement:
- Serve as POC for Commercial domains on AI product initiatives.
- Enable pod reuse of domain agents to maximize scalability and efficiency.
People Leadership:
- Lead and develop a team of ~6+ Senior Director-level Product Owners for AI products across multiple functional domains
- Foster a culture of innovation, collaboration and accountability.
Cross-Functional Collaboration:
- Partner with Commercial, Digital, and Analytics teams to ensure seamless integration of AI solutions.
- Own executive-level presentations that articulate the portfolio strategy and related ongoing value delivery
- Drive stakeholder engagement and change management for adoption of AI capabilities, including ownership for senior-level relationships
Governance & Compliance:
- Ensure adherence to data privacy, security, and ethical AI standards.
- Champion and embed best practices for AI development and deployment within product teams
- Support evolution of the portfolio-level Operating Model
Performance & Impact:
- Define Commercial goals, success metrics and KPIs for AI products in partnership with Commercial and AIA stakeholders; monitor performance and continuously optimize.
Executive Communication
- Own the impact story and presentation for ELT level updates.
- Deliver measurable business outcomes through AI driven insights and automation
Education:
- Bachelor's Degree Required
- Advanced degree in Business, Technology, Data Science, or related field preferred.
Experience:
- 12+ years in product management, digital transformation, or AI/analytics leadership roles.
- 10+ years of people management experience
- 5+ years of experience with principles of product development and ownership.
- Proven…
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