Vice President, Commercial AI Transformation & Delivery

Pfizer Pfizer · Pharma · New York, NY

Vice President, Commercial AI Transformation & Delivery at Pfizer, responsible for the vision, strategy, and delivery of AI across the U.S. commercial organization, focusing on sales, marketing, and medical initiatives. The role requires leading a multi-disciplinary organization and a network of vendors to turn AI ambition into adopted capabilities and business value within a regulated environment.

What you'd actually do

  1. Own the vision, strategy, and roadmap for applying AI across the commercial organization. Translate enterprise ambition into a prioritized portfolio of initiatives with clear business value and a credible path to delivery.
  2. Lead delivery of the portfolio from concept through production and adoption. Set priorities, sequence work, resolve dependencies, and make the trade-off calls on scope, investment, and pace.
  3. Build and lead a multi-disciplinary organization of senior directors, directors, program leaders, engineers, data scientists, and product leaders. Attract, develop, and retain top talent, and lead other people-leaders.
  4. Build and direct a network of vendors, contractors, and delivery partners. Define the work, set the standard, manage performance and spend, and keep critical capability and intellectual property within Pfizer.
  5. Ensure initiatives build on shared platforms, data, and engineering standards. Drive reuse and consistency, and prevent duplication and fragmentation across the portfolio.

Skills

Required

  • 15+ years of progressive leadership in technology, data and AI, digital, or product delivery, including senior leadership of large, multi-disciplinary organizations.
  • Significant experience in the pharmaceutical, life sciences, or healthcare industry, including an understanding of the commercial environment (sales, marketing, and/or medical) and its regulatory context.
  • Proven track record leading complex, enterprise-scale technology or AI programs from strategy through production and adoption, with measurable business impact.
  • Experience leading teams that build and operate production AI/ML and data products — with the credibility to set technical direction and standards without needing to be the hands-on engineer.
  • Demonstrated success leading large-scale transformation and change in a complex, matrixed enterprise — reshaping operating models and ways of working, not only delivering technology.

Nice to have

  • Executive leadership
  • Genuine technical credibility
  • Subject-matter depth in AI
  • Ability to move an organization, not just a roadmap
  • Comfortable with ambiguity
  • Ability to create momentum without waiting for perfect conditions
  • Consultative guidance, education, and direction across the organization
  • Capability building, new roles, and leadership development for an AI-enabled organization
  • Distinguish durable, valuable capability from hype

What the JD emphasized

  • production AI
  • generative and agentic AI
  • deploy it responsibly
  • AI-native
  • Enterprise transformation
  • Building from the ground up
  • production and adoption
  • production AI/ML and data products
  • large-scale transformation and change

Other signals

  • AI-native
  • Enterprise transformation
  • Building from the ground up