Director, Oncology AI Product & Engineering Lead

Responsibilities

• 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, clinical teams, Digital, Enterprise AI, and IT to ensure solutions are aligned with enterprise platforms and governance.
• Evaluate AI concepts, prototypes, and technical approaches, providing informed guidance and trade‑off decisions.
• Assess Oncology workflows to identify and propose opportunities for automation and process improvements.
• Drive stakeholder engagement, change management, and adoption, ensuring AI solutions move beyond pilots to sustained impact.
• Establish lightweight governance, delivery standards, and value tracking for Oncology AI initiatives.
• Represent Oncology AI initiatives in leadership forums and cross-enterprise discussions.

Requirements

• PhD in Computer Science, Machine Learning, Data Science, Software Engineering, AI, or a related discipline and a minimum of 5 years of applied analytical experience with demonstrated impact in operations, automation, business analytics, or decision support OR
• Master's in Computer Science, Machine Learning, Data Science, Software Engineering, AI, or a related discipline and a minimum of 7 years of applied analytical experience with demonstrated impact in operations, automation, business analytics, or decision support.
• Demonstrated impact leading AI enabled products, platforms, or analytics solutions in pharma, biotech, healthcare technology, or AI startups.
• Strong understanding of Oncology R&D workflows and the role of data and AI in scientific and clinical decision making.
• Proven ability to lead multidisciplinary technical teams in a matrixed environment.
• High technical fluency enabling effective evaluation of AI/ML approaches without hands on development.
• Excellent communication and stakeholder management skills.
• Experience operating at the intersection of science, product management, and engineering.
• Familiarity with AI/ML concepts including data pipelines, model development, and prototyping workflows.
• Experience scaling AI solutions in large, regulated organizations.
• Additional Information
• Last day to apply June 21, 2026
• This role is posted in multiple locations. If you are applying for the role in an secondary job posting location where pay transparency regulations apply, your Talent Advisor will share the local pay information with you during the first interview.
• Relocation assistance may be available based on business needs and/or eligibility.
• Candidates must be authorized to be employed in the U.S. by any employer.
• U.S. work visa sponsorship (such as TN, O-1, H-1B, etc.) is not available for this role now or in the future.
• Sunshine Act
• Pfizer reports payments and other transfers of value to health care providers as require

Benefits

Additional Information

Pfizer Oncology is building an AI-first R&D engine where artificial intelligence is a foundational capability shaping how medicines are discovered, developed, and delivered to patients. We are seeking a Director, Oncology AI Product & Engineering Lead to own the translation of Oncology R&D needs into high impact AI products and solutions. In this role, you will lead a multidisciplinary team of AI engineers and science focused technologists, define the Oncology AI product roadmap, and partner closely with scientific, clinical, digital, and enterprise stakeholders to identify opportunities for process automation / simplification and ensure solutions are adopted, scalable, and decision relevant. This role does not require hands on coding, but does require strong technical fluency, scientific credibility, and product leadership.

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