Director, Business Analytics, Oncology - Lung

Role Summary

The Director, Business Analytics, Oncology (Lung) oversees all Analytics activities for Oncology in Lung, partnering with the Oncology (Lung) Commercial Business Unit stakeholders to inform business decisions. This hands-on role uses descriptive, prescriptive and predictive analytics, including AI/ML, to drive a high-resolution market understanding and guide commercial strategy, tactical execution, and commercial excellence.

Responsibilities

• Development and execution of analytics plans and individual projects that inform business decisions for Oncology (Lung).
• Performance reporting and understanding based on key strategic imperatives, business questions and definition of success.
• Identification of business needs and proposal of potential analytics approaches and solutions.
• Data strategy for Oncology (Lung), maintaining a portfolio view.
• Conducting subnational analyses and championing the use of local customer insights.
• Opportunity identification and assessment, leveraging descriptive, prescriptive and predictive analytics (e.g., patient finder, next best HCP).
• Segmentation and targeting; delivering analytics for strategic workstreams (e.g., strategic planning, commercial business reviews).
• Informing data strategy and acquisition.
• Develop and maintain partnerships with stakeholders across Oncology (Lung) CBU and CSI&A; manage analytics suppliers and workbench to design, scope, execute and analyze data for business implications.
• Collaborate with Oncology CBU and CSI&A colleagues to influence data and analytics capabilities; stay informed on market landscape and competitive outlook.
• Work with Customer Insights to measure brand performance via secondary data sources; address questions from senior leadership.
• Comply with regulatory, security, and privacy requirements as it relates to data assets.
• Develop innovative analytics plans aligned with strategic imperatives; translate insights gaps into key business questions and cross-functional approaches.
• Proactively recommend analytics projects/workstreams that inform critical brand decision-points and address opportunities and challenges.
• Conduct key analytics including subnational analyses, segmentation, targeting, opportunity identification and assessment; utilize descriptive, prescriptive and predictive analytics.
• Manage performance reporting/dashboards and understanding based on key strategic imperatives and business questions.
• Deliver analytics for strategic workstreams including business reviews, financial reviews, and strategic planning.
• Synthesize insights from analytics, marketing research, competitive intelligence, and secondary data; present findings to business teams and senior management.
• Consolidate data into actionable insights that identify business opportunities/strategies with portfolio considerations.
• Create presentations that communicate complex insights clearly and actionably.
• Recommend evidence-driven business-building ideas using customer and market insights.

Qualifications

• Minimum BS with 12+ (or MS with 10+) years of pharmaceutical/biotech commercial experience, in roles of increasing accountability; oncology-specific experience is desired.
• BS/BA in STEM-related field (e.g., Statistics, Econometrics, Mathematics, Business Analytics, Marketing Research); Advanced degree preferred.
• Experience with Oncology datasets, including prescription, sales data and claims/patient level datasets; familiarity with IQVIA, Symphony, etc.
• Experience coding in SQL, Python/PySpark, R and/or SAS.
• Experience in AI/ML methodologies.
• Experience in data visualization and reporting with BI tools (PowerBI, Tableau, QlikView, Oracle BI, MicroStrategy, Cognos, Spotfire or similar).
• Advanced proficiency in Excel and PowerPoint.
• Proficiency in manipulating and extracting insights from large longitudinal data sources (claims and patient-level datasets).
• Experience in segmentation and targeting; expertise in managing and analyzing large secondary transactional databases.
• Experience in data mining, descriptive analytics, statistical methods, modeling, predictive modeling, opportunity assessment and quantification, and simulation.
• Strong communication and influencing skills; ability to present analyses succinctly with business implications.
• Demonstrated leadership, adaptability, influence, and emotional intelligence across stakeholders.
• Extensive experience managing multiple projects concurrently in a fast-paced environment.
• Strong analytical and strategic thinking abilities; concise written and verbal communication.
• Experience in data visualization and data storytelling of analytics findings.

Skills

• AI/ML methodologies
• Data visualization and storytelling
• Strategic thinking and problem solving
• Communication and influencing across diverse stakeholders
• Project and portfolio management

Education

• BS in STEM-related field (Statistics, Econometrics, Mathematics, Business Analytics, Marketing Research, etc.); Advanced degree preferred.