Vice President, Commercial AI Transformation & Delivery

Vision, Strategy & Roadmap

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.

End-to-End Delivery

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.

Organization & Talent Leadership

• Build and lead a multi-disciplinary organization of senior directors, directors, program leaders, engineers, data scientists, and product leaders.
• Arrttract, develop, and retain top talent, and lead other people-leaders.

Vendor & Partner Leadership

• 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.

Platforms, Standards & Reuse

Ensure initiatives build on shared platforms, data, and engineering standards. Drive reuse and consistency, and prevent duplication and fragmentation across the portfolio.

Executive Leadership & Influence

• Operate as a trusted partner to senior business and functional leaders.
• Articulate the vision, influence at the most senior levels, and provide consultative guidance, education, and direction across the organization.

Operating Model & Ways of Working

• Lead the shift to AI-enabled ways of working.
• Partner with business leaders and Pfizer on capability building, new roles, and leadership development for an AI-enabled organization.

Governance, Risk & Responsible AI

Ensure work is delivered responsibly and in line with Pfizer's legal, regulatory, compliance, privacy, and quality requirements. Embed appropriate governance, controls, and accountability into delivery.

Technology & Industry Awareness

Track relevant technology, vendor, and industry developments, and apply them to prioritize and evolve Pfizer's approach. Distinguish durable, valuable capability from hype.

Candidate Profile

• 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.
• Prominent 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 technology alone.
• Track record of establishing new capabilities, products, or businesses from the ground up and scaling them.
• Experience building, leading, and developing senior teams, including other people-leaders, and attracting top technical and product talent.
• Experience owning significant budgets and managing large vendor and partner portfolios.
• Ability to influence and partner with the most senior executives, and to translate complex technology into clear business terms.

Basic Qualifications

• Bachelor's Degree Required.
• Advanced degree in a technical, quantitative, or business discipline, or equivalent experience strongly preferred.

Preferred Qualifications

• Deep subject-matter expertise in AI/ML and generative and agentic AI, and how they create value in a commercial setting.
• Direct experience in, or close partnership with, pharmaceutical or healthcare commercial functions.
• Familiarity with enterprise data, platform, and AI governance considerations at scale.
• Recognized leadership presence, internally and externally, on applied AI and transformation.
• Experience operating in a global organization across multiple regions and markets.