Senior Manager, Performance Analytics & Insights, Oncology - Breast Cancer

Senior Manager, Performance Analytics & Insights Oncology | Breast Cancer | Global Commercial Analytics 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 breast cancer franchise within Oncology. This role is accountable for tracking and interpreting commercial performance across the breast cancer 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 breast cancer 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 breast cancer 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 Guide and review the work of vendor partners and internal collaborators supporting the breast cancer 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. BASIC QUALIFICATIONS Bachelor’s degree in a quantitative or business discipline; Master’s preferred. 6&#43; years of experience in biopharma, commercial analytics , strategic consulting, or a related field. Proficiency in SQL for data manipulation and automation. Direct experience with commercial secondary data sources (IQVIA, Symphony Health, specialty pharmacy data). 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 — concise, insight-led, and tailored to a commercial stakeholder 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. PREFERRED QUALIFICATIONS Master’s preferred. Proficiency in SQL, Python, R, or Alteryx for data manipulation and automation . Experience with cloud data platforms (Snowflake, Google Cloud Platform) and enterprise BI infrastructure. Prior experience supporting a breast cancer brand in a pharma commercial analytics or insights role , with working knowledge of the treatment landscape and competitive dynamics. Familiarity with biomarker testing trends and the implications of molecular segmentation for patient identification, market sizing, and brand strategy. Experience providing data inputs to commercial forecasting processes, including demand-based patient segment sizing and market share trend analysis . Familiarity with patient journey analytics, HUB/SP data, and access metrics relevant to specialty oncology products. <