Senior Manager, AI, and Data Engineering

Key Responsibilities

• Build and prototype AI-enabled solutions supporting Oncology R&D workflows and decision making.
• Develop and maintain data pipelines, feature engineering workflows, and analytical models.
• Apply machine learning techniques to structured and unstructured healthcare data.
• Collaborate with scientific and product partners to understand needs and deliver usable tools.
• Focus on speed, iteration, and usability; support production scaling with enterprise Digital teams as appropriate.
• Contribute to shared engineering standards, documentation, and best practices.

• Bachelor's degree and 6+ years' relevant experience OR Master's degree and 5+ years' experience OR PhD and 1+ years' experience. Advanced degree in CS/ML/AI/computational biology/bioinformatics/statistics/engineering or related quantitative/scientific field strongly preferred.
• Hands-on experience building data, analytics, or ML solutions in healthcare, life sciences, or health tech.
• Strong programming skills and experience with modern data and ML tooling.
• Ability to rapidly prototype and adapt solutions based on feedback.
• Strong collaboration and communication skills.

• Experience working on research or clinical workflows.
• Background in healthcare technology companies or AI startups.
• Exposure to cloud-based data and ML environments.

• Annual base salary range: $ to $.
• Bonus target: 17.5% of base salary (Global Performance Plan) and eligibility for share-based long-term incentive.
• Benefits include 401(k) with Pfizer matching contributions, retirement savings contribution, paid vacation/holidays/personal days, caregiver/parental and medical leave, and medical/prescription/dental/vision coverage.