Director, Oncology AI Product – Engineering Lead

Pfizer

Pfizer oncology AI leader driving products that accelerate medicine discovery and development. Leading AI engineers and translating R&D needs into scalable, adopted solutions.

Posted 8/11/2026full-timeNew York City • California, Massachusetts, New York, Washington • 🇺🇸 United StatesSenior💰 $176,600 - $294,300 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in Oncology AI product strategy and roadmap development, with a strong focus on leading cross-functional teams and translating complex scientific problems into actionable AI product requirements. Proven ability to drive stakeholder engagement and establish governance for AI initiatives in regulated environments.

Highest-signal resume keywords

PhD In Computer ScienceAI Product ManagementOncology R&D WorkflowsStakeholder ManagementAI/ML Concepts

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData ScienceSoftware EngineeringAI PrototypingAnalytical SolutionsAutomation OpportunitiesTechnical DirectionDelivery StandardsValue TrackingChange Management

Soft Skills

Excellent CommunicationCoachingTeam LeadershipStakeholder EngagementCross-Functional Collaboration

Industry Keywords

PharmaBiotechHealthcare TechnologyAI StartupsRegulated Organizations

About the role

Key responsibilities & impact

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 AI product requirements, success metrics, and delivery plans
Partner with Oncology scientific leaders, clinical teams, Digital, Enterprise AI, and IT to align solutions with enterprise platforms and governance
Evaluate AI concepts, prototypes, and technical approaches, providing guidance and trade-off decisions
Assess Oncology workflows and identify opportunities for automation and process improvements
Drive stakeholder engagement, change management, and adoption
Establish governance, delivery standards, and value tracking for Oncology AI initiatives
Represent Oncology AI initiatives in leadership forums and cross-enterprise discussions

Requirements

What you’ll need

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, OR Master’s in one of these disciplines and a minimum of 7 years of applied analytical experience
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 data and AI in scientific and clinical decision-making
Proven ability to lead multidisciplinary technical teams in a matrixed environment
High technical fluency to evaluate AI/ML approaches without hands-on development
Excellent communication and stakeholder management skills
Experience at the intersection of science, product management, and engineering preferred
Familiarity with AI/ML concepts including data pipelines, model development, and prototyping workflows preferred
Experience scaling AI solutions in large, regulated organizations preferred
Candidates must be authorized to be employed in the U.S. by any employer
U.S. work visa sponsorship is not available now or in the future
Permanent work authorization in the United States is required

Benefits

Comp & perks

401(k) plan with Pfizer Matching Contributions
Additional Pfizer Retirement Savings Contribution
Paid vacation
Holiday and personal days
Paid caregiver/parental and medical leave
Medical, prescription drug, dental and vision coverage
Global Performance Plan bonus target of 20.0% of base salary
Eligibility to participate in Pfizer’s share based long term incentive program
Relocation assistance may be available based on business needs and/or eligibility
Opportunities to grow and develop a career
Ownership culture that values diversity
Opportunity to impact the health and lives of millions of people