Director, Oncology AI Product & Engineering Lead
Pfizer
August 11, 2026
Remote friendly (Cambridge, MA)
United States
IT
Key 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 (technical direction, prioritization, 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; provide guidance and trade-off decisions.
- Assess Oncology workflows to identify and propose automation and process improvements.
- Drive stakeholder engagement, change management, and adoption 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.
Basic Qualifications
- PhD (CS/ML/Data Science/Software Engineering/AI or related) + 5+ years applied analytical experience in operations/automation/business analytics/decision support; OR Master’s + 7+ years.
- Demonstrated impact leading AI-enabled products/platforms/analytics in pharma/biotech/healthcare tech/AI startups.
- Strong understanding of Oncology R&D workflows and role of data/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.
Preferred Qualifications
- Experience at the intersection of science, product management, and engineering.
- Familiarity with AI/ML concepts (data pipelines, model development, prototyping).
- Experience scaling AI solutions in large, regulated organizations.
Benefits/Compensation
- Annual base salary range: $176,600.00–$294,300.00.
- Eligible for Global Performance Plan bonus target: 20% of base salary; and share-based long-term incentive program.
- Benefits include 401(k) with matching, retirement contribution, paid vacation/holidays, paid caregiver/parental and medical leave, and medical/dental/vision.
Application Instructions
- Relocation assistance may be available based on business needs/eligibility.
- 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 (technical direction, prioritization, 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; provide guidance and trade-off decisions.
- Assess Oncology workflows to identify and propose automation and process improvements.
- Drive stakeholder engagement, change management, and adoption 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.
Basic Qualifications
- PhD (CS/ML/Data Science/Software Engineering/AI or related) + 5+ years applied analytical experience in operations/automation/business analytics/decision support; OR Master’s + 7+ years.
- Demonstrated impact leading AI-enabled products/platforms/analytics in pharma/biotech/healthcare tech/AI startups.
- Strong understanding of Oncology R&D workflows and role of data/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.
Preferred Qualifications
- Experience at the intersection of science, product management, and engineering.
- Familiarity with AI/ML concepts (data pipelines, model development, prototyping).
- Experience scaling AI solutions in large, regulated organizations.
Benefits/Compensation
- Annual base salary range: $176,600.00–$294,300.00.
- Eligible for Global Performance Plan bonus target: 20% of base salary; and share-based long-term incentive program.
- Benefits include 401(k) with matching, retirement contribution, paid vacation/holidays, paid caregiver/parental and medical leave, and medical/dental/vision.
Application Instructions
- Relocation assistance may be available based on business needs/eligibility.