Senior Manager, Performance Analytics and Insights, Oncology
About the role
The Senior Manager of Performance Analytics & Insights supports the Padcev franchise within Pfizer's Oncology division. This role involves tracking and interpreting commercial performance, translating data into actionable narratives for brand teams and senior leadership.
Role Responsibilities
Performance Measurement & Insights: Lead performance reporting, including brand sales, TRx/NPS, market share, and attainment vs. targets across weekly, monthly, and quarterly cadences.
Leverage secondary data sources to identify trends, surface risks and opportunities, and connect data signals to brand strategy decisions.
Analyze performance through the lens of defined patient segments, including patient demographics, lines of therapy, treatment setting, and prior treatment history to understand market dynamics, prescribing behavior, and patient flow.
Apply subnational analytics to identify geographic variation in brand performance, patient segment penetration, and market dynamics to surface actionable insights for the business.
Support the development and maintenance of the Oncology LT Dashboard and other enterprise reporting infrastructure, ensuring Padcev metrics are accurate, timely, and decision-ready.
Proactively identify data anomalies, validate analytical outputs, and ensure every insight delivered to stakeholders is accurate and reliable.
Brand Strategy: Serve as the secondary data analytics partner for the Padcev brand team, providing data-driven inputs that inform brand positioning, strategic planning, and commercial decision-making.
Partner with forecasting teams to provide accurate secondary data inputs, including demand trends, patient segment sizing, and market share dynamics, that inform volume and revenue projections.
Identify emerging trends in the urothelial cancer treatment landscape, including treatment sequencing patterns, competitive dynamics, and evolving standard of care, and proactively frame the commercial implications for brand leadership.
Partner with insights and strategy team members to connect patient journey data to brand strategy, identifying where patients are being lost along the diagnosis-to-treatment continuum and what that means for commercial priorities.
Stakeholder Partnership: Build trusted relationships with marketing, integrated insights, commercial excellence, data science, and market access stakeholders, translating complex analytical outputs into business language that resonates with non-technical audiences including VP- and C-suite-level leaders.
Proactively identify information gaps and develop analytical solutions before stakeholders ask by anticipating business questions, not just answering them.
Ai & Analytical Innovation: Actively leverage AI-enabled tools and platforms to accelerate insight generation, automate routine reporting, and unlock new analytical approaches—bringing a continuous improvement mindset to how the team works.
Stay current on emerging analytical methods, data sources, and technologies relevant to oncology commercial analytics; evaluate and advocate for adoption where they drive business value.
Contribute to the team’s analytical capability agenda, including data infrastructure development and best practice sharing across the GCA organization.
Team & Operational Excellence: Guide and review the work of vendor partners and internal collaborators supporting the Padcev franchise, providing analytical direction, quality oversight, and feedback.
Partner with GCA colleagues across Oncology to ensure consistency in methodology, metrics definitions, and reporting standards across the portfolio.
Qualifications
Bachelor’s degree in a quantitative or business discipline. Master’s preferred.
Must have 6+ years of experience in biopharma, commercial analytics, strategic consulting, or a related field.
Direct experience with commercial secondary data sources (IQVIA, Symphony Health, specialty pharmacy data).
Proficiency in SQL, Python, or R for querying, manipulating, and automating analytics on large datasets end to end; experience working in Snowflake or a comparable cloud data environment is strongly preferred.
Strong proficiency in data visualization tools (Tableau, Power BI, or similar) and the ability to design clean, decision-oriented dashboards.
Demonstrated ability to communicate analytical findings as business stories tailored to a commercial audience.
Comfort working with AI tools in day-to-day analytical work, with a genuine interest in staying at the leading edge of how AI is reshaping analytics and commercial insights.
Experience working in a matrixed, cross-functional environment with multiple stakeholders and competing priorities.