Own the Oncology AI product strategy and roadmap across discovery, translational science, clinical development, and real-world evidence.
Lead and manage a cross functional team of AI engineers, providing technical direction, prioritization, and coaching.
Translate complex scientific and operational problems into clear AI product requirements, success metrics, and delivery plans.
Partner with Oncology scientific leaders and clinical teams to ensure alignment with enterprise platforms.
Evaluate AI concepts, prototypes, and technical approaches, providing informed guidance.
Assess Oncology workflows to identify opportunities for automation and process improvements.
Drive stakeholder engagement, change management, and adoption of AI solutions.
Establish governance, delivery standards, and value tracking for Oncology AI initiatives.
Represent Oncology AI initiatives in leadership forums and cross-enterprise discussions.

PhD in Computer Science, Machine Learning, Data Science, Software Engineering, AI, or related discipline with a minimum of 5 years of applied analytical experience OR Master’s in Computer Science, Machine Learning, Data Science, Software Engineering, AI, or related discipline with a minimum of 7 years of applied analytical experience
Demonstrated impact leading AI enabled products, platforms, or analytics solutions
Strong understanding of Oncology R&D workflows and the role of data and AI in decision making
Proven ability to lead multidisciplinary technical teams in a matrixed environment
High technical fluency enabling effective evaluation of AI/ML approaches
Excellent communication and stakeholder management skills

401(k) plan with Pfizer Matching Contributions
Additional Pfizer Retirement Savings Contribution
Paid vacation
Holiday and personal days
Paid caregiver/parental and medical leave
Health benefits including medical, prescription drug, dental, and vision coverage

Director, Oncology AI Product – Engineering Lead

Key skills