.Senior Manager, Data Science & AnalyticsRole Summary: The Senior Manager of Data Science & Analytics is responsible for developing data-driven insights to inform commercial strategy, brand planning, and operational effectiveness.
This role requires hands-on data analysis and close collaboration with cross-functional teams to ensure data is leveraged to support business-critical decisions.
The Senior Manager will manage various data assets, including claims, sales, and specialty pharmacy data, and will work across oncology commercial analytics and commercial teams to integrate insights into the franchise's strategic direction.
This position will report to either a Franchise Director Team Lead or to the Senior Director of Data Science & Analytics within Pfizer's Oncology Commercial Analytics team.Key Responsibilities:Data Analysis and Insights GenerationAdvanced Analytics: Develop and implement advanced analytics models, using techniques such as machine learning, predictive modeling, and statistical analytics, to drive insights into customer behavior, market trends, and product performance.Secondary Data Analysis: Leverage multiple external data sources (e.G., claims data, specialty pharmacy data, non-retail sales) to generate actionable insights that address strategic business questions.Data Management and GovernanceData Asset Management: Partner with Commercial Information Management and data governance teams to ensure the proper stewardship of data, including the integration of new data assets to enhance decision-making.Data Quality and Consistency: Ensure the quality, accuracy, and timeliness of data used for analysis by collaborating with IT, Marketing, and other cross-functional teams to maintain clean and reliable datasets.Data Sourcing: Collaborate with the Director of Oncology Data Enablement to identify and assess relevant commercial data sources (e.G., Komodo Health, IQVIA, Symphony) that can be integrated into analytics projects to improve insights and decision-making capabilities.Targeting and SegmentationCustomer Segmentation: Apply advanced data science techniques to develop customer segmentation strategies that optimize targeting and resource allocation for marketing and sales teams.Engagement Optimization: Analyze customer behavior and market data to develop insights that enhance engagement strategies and drive commercial success.Brand Performance and Market InsightsNational-Level Reporting: Develop and maintain national-level brand performance reports, providing detailed insights into market trends, competitive dynamics, and product performance.Launch Support: Provide analytical support during product launches, including competitive intelligence, market analysis, and performance tracking to ensure successful market entry.Operational and Market Effectiveness: Analyze data to inform operational effectiveness and market performance, providing insights that optimize marketing strategies and sales operations