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. ROLE RESPONSIBILITIES Methodology and Analytical Direction •  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. Data, Model, and Solution Development •  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. Strategic Support and Collaboration •  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 workstreams through influence, sound judgment, and effective stakeholder engagement. Leadership and Capability Building •  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, transparent, and accountable use of data and AI. BASIC QUALIFICATIONS Candidate demonstrates a breadth of diverse capabilities including: the ability to influenc