Sr Manager, Performance Analytics & Insights, Oncology

Senior Manager, Performance Analytics & Insights

About the Team

Global Commercial Analytics (GCA) harnesses the power of data to drive robust analytical insights that inform some of Pfizer’s most critical business decisions. Within Oncology, our Performance Analytics & Insights (PAI) team translates complex secondary data into commercial strategy, connecting what the data says to what the business does. We sit at the intersection of brand strategy, patient access, and business performance — and our work directly shapes how Pfizer’s oncology portfolio reaches the patients who need it most.

Role Summary

We are seeking a Senior Manager of Performance Analytics & Insights to support the Oncology franchise. This role is accountable for tracking and interpreting commercial performance across any of our products within the Oncology portfolio — including brand demand, market share, biomarker-defined patient segments, and subnational performance patterns — and translating those insights into clear, actionable narratives for brand teams and senior leadership.

This is a high-visibility, fast-paced role requiring strong analytical capability, business judgment, and the ability to communicate compellingly with commercial and GCA stakeholders who are focused on driving outcomes. The right candidate is intellectually curious, commercially grounded, comfortable operating in a complex matrixed environment, and actively embraces AI and emerging tools to work smarter and faster.

Role Responsibilities

Performance Measurement & Insights

• Own end-to-end performance reporting for the Oncology portfolio, including brand sales, TRx/NPS, market share, and attainment vs. targets across weekly, monthly, and quarterly cadences.
• Leverage secondary data sources (e.g., IQVIA, Symphony, specialty pharmacy, hub/SP data) 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 histology, biomarkers, patient demographics, lines of therapy, etc. — to understand how disease biology and treatment history shapes market dynamics, prescribing patterns, and patient flow across the treatment landscape.
• Apply subnational analytics to identify geographic variation in brand performance, patient segment penetration, and market dynamics — surfacing actionable insights for brand strategy without ownership of field operations or execution.
• Translate analytical findings into clear business narratives — leading with the so what and driving toward actionable recommendations for brand teams and leadership.
• Support the development and maintenance of the Oncology LT Dashboard and other enterprise reporting infrastructure, ensuring breast cancer metrics are accurate, timely, and decision-ready.
• Proactively identifying data anomalies, validating analytical outputs, and ensuring every insight delivered to stakeholders is accurate and reliable.

Brand Strategy Support

• Serve as the secondary data analytics partner for the Oncology 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 breast cancer treatment landscape — including evolving biomarker testing rates, treatment sequencing patterns, and competitive dynamics — 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, 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 — 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

…