Director, AI Product, Innovation & Emerging Technology

ROLE SUMMARY 

The Director, AI Product, Innovation & Emerging Technology reports to the Sr. Director AI Product Innovation Lead within the PGS Data, Analytics & AI Transformation Organization. The Director, AI Product Innovation & Emerging Technology reports to the Sr. Director, AI Product Innovation Lead within the PGS Data, Analytics & AI Transformation organization. This role serves as a strategic leader and recognized subject matter expert responsible for identifying, evaluating, and advancing transformative AI opportunities across PGS. The position drives the development and productization of high-impact, enterprise-scale AI use cases that deliver measurable business value while accelerating Pfizer’s adoption of emerging technologies. 

The Director partners closely with senior business leaders, Digital, platform engineering, and AI teams to translate emerging AI capabilities into scalable business solutions. Acting as a trusted advisor, this individual develops investment strategies, builds compelling value cases, and influences decisions regarding AI priorities and technology adoption. The role also provides thought leadership on emerging AI trends, evaluating evolving technologies through a PGS lens and identifying opportunities that create competitive advantage for Pfizer. 

As a champion of product excellence and responsible AI practices, the Director helps establish and evolve product management standards, governance, and innovation frameworks that enable sustainable scaling of AI-driven products across the enterprise. 

ROLE RESPONSIBILITIES 

• Define and drive the AI product innovation strategy for emerging and transformative use cases across PGS, identifying opportunities that deliver significant business impact and long-term competitive advantage.

• Lead the discovery, assessment, and productization of lighthouse AI initiatives, establishing clear business outcomes, success measures, and commercialization pathways from concept through enterprise adoption.

• Serve as a strategic advisor to senior leaders, influencing AI investment priorities and helping stakeholders evaluate opportunities, risks, value realization, and resource requirements.

• Develop and socialize robust business cases, investment recommendations, and value realization frameworks that support funding decisions and executive sponsorship.

• Monitor and evaluate emerging AI technologies, foundation models, industry trends, and competitive developments, translating external insights into actionable opportunities for Pfizer.

• Partner with Digital, platform engineering, data, and architecture leaders to ensure innovative solutions are aligned with enterprise standards, technology roadmaps, security requirements, and scalability expectations.

• Establish and promote best practices for AI product management, innovation governance, and responsible AI adoption across PGS and broader Digital organizations.

• Influence enterprise product strategy and roadmap decisions by identifying reusable solutions, scaling opportunities, and cross-functional synergies that maximize business value.

• Act as a recognized thought leader and visible ambassador for AI product innovation, communicating complex technology trends and opportunities to executive stakeholders in a clear and compelling manner.

BASIC QUALIFICATIONS 

• Bachelor’s degree in Business, Computer Science, Engineering, Information Systems, or a related field with at least 8 years of relevant experience; OR a master’s degree with at least 7 years of experience.

• Significant experience in product management and innovation leadership, including taking early-stage concepts through a defined productization process to a scaled, adopted solution.

• Deep expertise in AI, advanced analytics, digital product management, or related technology domains, with demonstrated ability to evaluate emerging technologies and determine strategic business applicability.

• Proven track record developing business cases, investment strategies, and value realization frameworks that have secured executive sponsorship and funding.

• Demonstrated ability to influence senior leaders and drive strategic decisions across highly matrixed organizations without direct authority.

• Strong understanding of AI governance, responsible AI practices, product operating models, and enterprise technology delivery frameworks.

• Exceptional communication skills, with the ability to translate technical…