Manager, Statistical Data Sciences Lead (PM)

Use Your Power for Purpose At Pfizer, the Manager, Statistical Data Sciences Lead role within the Research & Development division is pivotal in advancing the development and delivery of high-quality clinical trial analyses that support research, development, regulatory submissions, and the commercialization of innovative medicines. This role combines technical expertise, strategic leadership, and people management to ensure the successful delivery of analysis-ready datasets, tables, listings, and figures while developing and empowering a team of programming professionals. By fostering collaboration, innovation, and operational excellence, you will help accelerate the delivery of evidence-based insights that improve patient outcomes worldwide. What You Will Achieve In this role, you will: Lead and manage a team of statistical programmers, providing coaching, mentoring, career development, performance management, and technical guidance. Drive excellence in the delivery of analysis-ready datasets, tables, listings, and figures supporting clinical development, regulatory submissions, and commercialization activities. Serve as the programming point of contact at the study, asset, and submission levels, ensuring alignment of programming activities with project objectives and timelines. Oversee resource planning, workload management, and prioritization of programming activities across multiple studies and projects. Ensure adherence to Pfizer SOPs, industry standards, and programming best practices to maintain high-quality and compliant deliverables. Partner with statisticians, clinicians, data scientists, data managers, and other cross-functional stakeholders to support study and portfolio objectives. Provide strategic oversight of programming activities, proactively identifying risks, resolving issues, and implementing mitigation plans. Foster a culture of quality, accountability, innovation, and continuous improvement within the programming team. Review and approve programming deliverables, ensuring consistency, accuracy, and compliance with regulatory and organizational requirements. Support talent development through structured coaching, technical training, and succession planning activities. Lead or contribute to initiatives focused on process improvement, automation, programming standards, and implementation of new technologies. Guide the adoption of advanced analytics, AI-enabled tools, and innovative programming solutions to improve efficiency and quality. Manage stakeholder expectations and maintain effective communication across global teams and multiple time zones. Contribute to departmental and enterprise-wide strategic initiatives within Statistical Data Sciences & Analytics (SDSA). Promote knowledge sharing and best practices across teams and functions. Here Is What You Need (Minimum Requirements ) Bachelor's or Master's degree in Statistics, Biological Sciences, Information Technology, Computer Science, Mathematics, or a related field. At least 7 years of relevant experience in pharmaceutical, biotechnology, CRO, or regulatory agency environments. Demonstrated experience leading and developing teams in a matrixed, remote, and/or global environment. Strong expertise in statistical programming with hands-on proficiency in SAS and at least one additional programming language such as R or Python. Extensive knowledge of statistical methodologies and their application to clinical trial programming. Strong understanding of clinical trial processes, data flow, and regulatory reporting requirements. Proven project and resource management experience, including planning, prioritization, and execution across multiple initiatives. Ability to lead complex problem-solving efforts and make sound decisions in ambiguous situations. Strong written and verbal communication skills with the ability to present technical information to non-technical audiences. Demonstrated ability to build effective partnerships with study teams,