Director, Oncology AI Product & Engineering Lead

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.

About the role

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 and simplification. You will 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.

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 align 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.

Preferred Qualifications

• 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.

Pay

The annual base salary for this position ranges from $176,600 to $294,300. This position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 20.0% of the base salary and eligibility to participate in our share-based long-term incentive program.

Benefits

• 401(k) plan with Pfizer Matching Contributions and an 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.

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 is not available for this role now or in the future.