Director, AI Product

Pfizer Pfizer · Pharma · New York, NY

Product leader responsible for owning and delivering AI capabilities for content creation, review, and approval processes within Pfizer's commercial marketing organization. This role involves defining and executing a product roadmap, driving stakeholder engagement, and partnering with cross-functional teams to deliver AI-enabled solutions.

What you'd actually do

  1. Own product prioritization, delivery, and outcomes for an assigned set of AI-enabled capabilities within the US and International commercial Content Creation, Review, and Approval process.
  2. Working with the E2E Content AI Product Lead, define and execute the AI capability roadmap for a defined product scope, ensuring alignment with business value drivers and end-to-end user needs and workflows.
  3. Drive stakeholder and user engagement for the assigned product area, such as Content Creation, Review and Approval, including US and International regions, to surface requirements, validate priorities, and build alignment on the roadmap.
  4. For new prioritized opportunities, lead requirements definition, design, development, and delivery in close partnership with a cross-functional delivery Pod consisting of UI/UX, Business Translation, AI Agent Development, and Data.
  5. For existing capabilities, maintain strategic ownership of the business requirements backlog, lead value assessment and prioritization, and coordinate closely with technical delivery teams for feasibility assessment and delivery planning.

Skills

Required

  • Bachelor’s degree in Business Administration, Marketing, Engineering, Computer Science, Life Sciences (e.g., Biology, Pharmacy, Public Health), Biomedical Science, or related fields
  • 8+ years of experience in product leadership, strategic initiatives, commercial or digital transformation, enterprise platforms, delivering technology, data, or AI‑enabled solutions in a large, matrixed organization.
  • Demonstrated experience working with AI or machine learning products, including comfort with technical concepts such as LLMs, agents, and AI-assisted workflows.
  • Experience translating strategic goals into executable roadmaps, sequencing initiatives based on value, risk, and delivery feasibility.
  • Experience working in or with the pharmaceutical industry, with familiarity with commercial content creation or promotional review and approval processes.
  • Strong cross-functional leadership skills with proven ability to influence without authority across business and technical stakeholders.
  • Experience managing product backlogs, writing business requirements, and driving delivery in an Agile or hybrid product delivery environment.
  • Excellent communication and executive presence — able to translate complex technical concepts for business audiences and business requirements for technical teams.

Nice to have

  • Experience with AI product development in regulated industries.
  • Exposure to content operations, brand, or marketing functions within a global pharmaceutical company.
  • Exposure to AI‑enabled, data‑driven, or advanced analytics solutions, with an understanding of how such capabilities are operationalized in business workflows.
  • Familiarity with enterprise commercial or content platforms (e.g., Veeva PromoMats, Adobe Workfront, and other content authoring or management tools)
  • Experience supporting change management, adoption, or new ways‑of‑working for enterprise digital solutions

What the JD emphasized

  • Accountability for prioritization, execution, and business outcomes.
  • Demonstrated experience working with AI or machine learning products, including comfort with technical concepts such as LLMs, agents, and AI-assisted workflows.
  • Experience working in or with the pharmaceutical industry, with familiarity with commercial content creation or promotional review and approval processes.
  • Experience with AI product development in regulated industries.

Other signals

  • AI capabilities
  • content generation
  • promotional review coaching
  • intelligent triage
  • document comparison
  • LLMs
  • agents
  • AI-assisted workflows