Senior Director, Vaccines Medical AI and Innovation Lead

ROLE SUMMARY

You will provide independent scientific and strategic leadership for the identification, design, governance, and deployment of artificial intelligence (AI) and advanced analytics solutions across the Vaccines Medical portfolio. You will define a long‑term vision for how AI transforms medical affairs work — including evidence generation, scientific communications, medical content, insights, and field medical enablement — while ensuring that every solution is scientifically rigorous, compliant, and grounded in genuine medical need.

Operating with a high degree of autonomy, you will partner with senior Medical, Development, Digital, Evidence Generation, and cross‑functional leaders to translate enterprise medical priorities into a coherent AI solutions roadmap. Through strategic oversight of AI‑enabled medical solutions, you will ensure that Vaccines Medical adopts trustworthy, future‑ready technology that accelerates scientific work, elevates the quality and consistency of medical outputs, and safeguards scientific integrity — reinforcing Pfizer’s leadership and reputation in vaccines science.

Define and govern the Vaccines Medical AI strategy and roadmap, integrating input from internal and external stakeholders into long‑term, global planning aligned to Vaccines Global Business Unit and R&D priorities. Serve as a senior scientific and technical advisor to Vaccines Medical leadership, Global Medical franchises, and Global Product Teams, guiding the responsible identification, prioritization, and adoption of high‑impact AI and advanced analytics use cases.

Establish and govern the frameworks, standards, and controls for responsible AI use — including model validation, human oversight, data provenance, bias monitoring, and documentation — so that solutions are compliant, defensible, and grounded in genuine medical need. Define the business case, value framework, and success metrics for AI investments, prioritizing initiatives on measurable medical impact rather than technology for its own sake.

Lead the design, piloting, and scaled deployment of AI‑enabled solutions that accelerate medical affairs work, such as evidence synthesis and literature surveillance, scientific content generation and review, medical insights aggregation, and field medical support tools. Oversee the end‑to‑end delivery lifecycle for prioritized solutions — from use‑case definition and proof‑of‑concept through validation, deployment, adoption, and ongoing performance monitoring — ensuring scientific accuracy and fit‑for‑purpose in a highly regulated environment.

Partner with Digital and enterprise AI platform teams to influence architecture, data access, and tooling decisions, ensuring solutions are scalable, secure, and interoperable, and represent Vaccines Medical in enterprise AI councils and governance forums. Drive change management, training, and capability building so that global, regional, and local Medical Affairs colleagues can adopt AI solutions effectively and responsibly, and adapt centrally developed solutions to local needs.

Provide senior‑level oversight of financial projections, budget strategy, and resourcing for AI initiatives, including vendor, agency, and offshore team management, ensuring investments demonstrate measurable value. Anticipate and interpret evolving US and global regulatory, legal, privacy, and ethical guidance on AI in medical and scientific settings, shaping strategy to ensure compliant, innovative, and future‑ready adoption.

MD and at least 5 years of experience in Medical Affairs, scientific communications, evidence generation, medical or scientific strategy, clinical development, or a related scientific field OR PhD and at least 7 years of experience in Medical Affairs, scientific communications, evidence generation, medical or scientific strategy, clinical development, or a related scientific field. At least 5 years of experience applying artificial intelligence and advanced analytics in scientific or medical settings, including hands‑on experience developing, evaluating, or deploying machine learning, natural language…