Director, Performance Analytics and Insights, Oncology - Precision Medicine

Job Description

Global Commercial Analytics (GCA) harnesses the power of data to create robust analytical insights that inform some of Pfizer's most critical business questions. Within Oncology, our Performance Analytics & Insights (PAI) team translates complex secondary data, including IQVIA, claims, specialty pharmacy, and others into commercial strategy. We connect what the data says to what the business does, sitting at the intersection of brand strategy, patient access, and business performance. We are enhancing our analytics capability with Claude, and this role will help drive that evolution. Our work directly shapes how Pfizer's oncology portfolio reaches the patients who need it most.

This role will work closely with senior business stakeholders across brand, franchise, and commercial leadership, acting as a strategic partner and directing performance analytics within the Oncology Precision Medicine portfolio. That includes brand demand, market share, patient segments, and subnational performance patterns. This role will also lead efforts to standardize methodology and reporting practices across the Oncology PAI portfolio. The role is dynamic, fast-paced, and highly collaborative, covering a broad range of strategic topics critical to the oncology business. The successful candidate will join a team dedicated to driving business impact through proactive thought leadership, deep oncology fluency, and the ability to communicate complex information in clear, actionable ways.

Role Responsibilities

Role definition and key accountabilities include, but are not limited to:

Commercial Performance Analytics

• Own the strategic direction of performance reporting for the assigned precision medicine brands, including brand sales, TRx/NPS, market share, and attainment vs. targets, across weekly, monthly, and quarterly cadences, and build the equivalent ahead of the portfolio's upcoming launches.

• Direct the use of secondary data sources to identify trends, surface risks and opportunities, and connect data signals to brand strategy decisions.

• Guide analysis through the lens of defined patient segments, such as biomarker status, lines of therapy, treatment setting, and prior treatment history, to explain how disease characteristics and treatment patterns shape market dynamics, prescribing behavior, and patient flow.

• Oversee subnational analytics to identify geographic variation in brand performance and market dynamics, and make sure insights get surfaced proactively rather than on request.

• Ensure the integrity of enterprise reporting infrastructure (e.g., Oncology LT Dashboard) for assigned brands, including proactive identification of data anomalies and validation of analytical outputs.

• Connect insights into a compelling, persuasive narrative and deliver clear, actionable recommendations to senior leadership.

• Identify emerging trends in the relevant disease and treatment landscape, including treatment sequencing, competitive dynamics, and evolving standard of care, and proactively frame the commercial implications for brand and franchise leadership.

Collaboration with Other Analytical Teams

• Align with other GCA teams to keep activity across stakeholders cohesive and to maintain consistency in methodology, metrics definitions, and reporting standards across the broader portfolio.

• Actively contribute to the advancement of team capabilities through thought leadership, and share knowledge and expertise with colleagues across GCA.

• Partner with other analytics functions to advance the use of novel data sources and reporting, including RWD and data science.

• Direct and manage the work of vendor partners, providing analytical direction, quality oversight, and risk management.

• Build trusted relationships with marketing, integrated insights, commercial excellence, data science, and market access stakeholders, translating complex analytical outputs into business language for VP and C-suite leaders.

Technical Skills

• Strong analytical and coding skills (SQL, Python, or R) for querying, manipulating, and automating analytics on large datasets; experience in Snowflake or a comparable cloud data environment strongly preferred.

• Strong proficiency in data visualization tools (Tableau, Power BI, or similar) and the ability to direct the design of clean, decision-oriented dashboards.

• Extensive experience in the design and management of secondary data analytics, including direct experience with IQVIA, Symphony Health, or specialty pharmacy data.

• Uses AI tools in the analysis itself and maintains accountability for quality of output. We are building in Claude, though experience with comparable tools carries over, and need someone excited to innovate as we grow in these capabilities.

• Strong reporting and analytical skills, with the ability to synthesize and validate various inputs and communicate the story to commercial leadership.

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