Senior Manager,PAI Oncology – Breast Cancer Job Peoria area,Illinois USA,Business

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 identify data anomalies, validate analytical outputs, and ensure every insight delivered to stakeholders is accurate and reliable.
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.
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.
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.

Requirements

Bachelor’s degree in a quantitative or business discipline;
Master’s preferred.
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).
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 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.

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Senior Manager, PAI Oncology – Breast Cancer