Innovation, Data & Analytics Team, Senior Manager, Data Scientist

ROLE SUMMARY

The Senior Manager, Data Scientist supports the Innovation, Data & Analytics (IDA) Team by designing and applying advanced analytical methods that enable scalable, AI-enabled workflows and data-informed decision-making across Medical Affairs. The role provides analytical leadership for model selection, cohort and segmentation methodology, evaluation frameworks, and decision logic, working in close partnership with data engineering, architecture, AI/ML engineering, governance, and business stakeholders.

This role combines hands‑on data science expertise with project leadership and cross‑functional influence. The Senior Manager translates complex medical and business questions into defensible analytical approaches, communicates findings and trade‑offs clearly, and helps improve the quality, adoption, and impact of IDA solutions.

• Lead the selection, design, and evaluation of analytical and machine‑learning approaches for IDA initiatives and AI‑enabled workflows.
• Design cohort, customer, and healthcare professional segmentation methodologies using appropriate healthcare and real‑world data sources.
• Define analytical logic, performance measures, validation methods, and decision criteria for models and agentic workflows.
• Conduct advanced analyses to identify patterns, trends, opportunities, and risks that can inform Medical Affairs priorities and decisions.
• Ensure analytical methods, assumptions, limitations, and outputs are well documented, reproducible, and fit for purpose.
• Evaluate emerging data‑science, artificial‑intelligence, and large‑language‑model techniques for relevance, rigor, scalability, and responsible use.

• Prepare, integrate, explore, and analyze complex structured and unstructured datasets from multiple sources.
• Develop, test, validate, and refine statistical, machine‑learning, natural‑language‑processing, and AI‑based models.
• Partner with AI/ML engineers and data engineers to translate analytical methods into reliable, production‑ready pipelines and workflows.
• Collaborate with data architecture and governance partners to ensure analytical outputs align with data models, quality standards, privacy requirements, and governance expectations.
• Establish monitoring approaches to assess model performance, data drift, output quality, bias, and continued fitness for use.
• Identify and address data‑quality, methodology, or implementation issues that could affect analytical reliability.

• Provide analytical input to IDA strategic and tactical planning, use‑case prioritization, roadmaps, and delivery decisions.
• Translate Medical Affairs and business needs into clear analytical questions, requirements, hypotheses, and evaluation plans.
• Communicate analytical findings, recommendations, uncertainty, and trade‑offs clearly to technical and nontechnical stakeholders.
• Partner across IDA and Medical Affairs to ensure solutions are relevant, usable, compliant, and aligned with priority business outcomes.
• Proactively identify new data sources, analytical techniques, and opportunities to improve solution quality, efficiency, and adoption.
• Lead defined projects or analytical work streams through influence, sound judgment, and effective stakeholder engagement.

• Provide technical guidance, mentorship, and coaching to data scientists and other analytical colleagues.
• Promote consistent data‑science standards, reusable methods, peer review, documentation, and knowledge sharing across the IDA Team.
• Contribute to an inclusive, collaborative, and change‑agile team environment.
• Role‑model Pfizer values and behaviors while supporting responsible,…