Senior Manager, Data Science & Analytics

About the Role

Key Responsibilities

• 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.
• Leverage multiple external data sources (e.g., claims data, specialty pharmacy data, non-retail sales) to generate actionable insights that address strategic business questions.
• 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.
• 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.
• 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.
• Apply advanced data science techniques to develop customer segmentation strategies that optimize targeting and resource allocation for marketing and sales teams.
• Analyze customer behavior and market data to develop insights that enhance engagement strategies and drive commercial success.
• Develop and maintain national-level brand performance reports, providing detailed insights into market trends, competitive dynamics, and product performance.
• Provide analytical support during product launches, including competitive intelligence, market analysis, and performance tracking to ensure successful market entry.
• Analyze data to inform operational effectiveness and market performance, providing insights that optimize marketing strategies and sales operations.
• Create and manage executive-level reports and dashboards, ensuring that key performance indicators (KPIs), market trends, and insights are effectively communicated to decision-makers.
• Work closely with other teams (e.g., Marketing, Market Research Insights, Forecasting, Finance) to integrate data insights into broader strategic initiatives and support decision-making.
• Present complex analytical insights to senior leadership, translating data into clear and actionable recommendations that support business-critical decisions.
• Continuously identify opportunities to improve data analytics methodologies, processes, and tools to enhance the efficiency and accuracy of insights.
• Stay current with industry trends and emerging data science techniques, incorporating innovative approaches into data analysis to drive better business outcomes.
• Manage relationships with external vendors and data providers, ensuring timely delivery of high-quality data and insights that meet the franchise's needs.
• Collaborate with Data Science & Analytics leadership to manage budgets and allocate resources effectively to support franchise data science and analytics efforts.

Requirements

• Bachelor's degree in data science, analytics, mathematics, biological or physical sciences, statistics, business, or a related field.
• Minimum of 7+ years of experience in data science, analytics, or commercial operations, with at least 5+ years in the pharmaceutical or biopharmaceutical industry.
• Proficiency in data analysis tools such as Python, R, SQL, and data visualization platforms (e.g., Tableau, Power BI).
• Experience working with cross-functional teams, including marketing, sales, and IT, to integrate data insights into commercial strategies.
• Demonstrates a breadth of diverse leadership experiences and capabilities including influencing and collaborating with peers, developing and coaching others, and overseeing work to achieve meaningful outcomes.
• Experience with external data sources such as Komodo Health, IQVIA, Symphony is implied.
• Strong analytical and problem-solving skills, with the ability to develop data-driven solutions to complex business challenges.
• Excellent verbal and written communication skills, with the ability to present complex data insights clearly.

Nice to Have

• Experience working in oncology, with a deep understanding of market dynamics, customer behavior, and competitive trends in the oncology space.
• Experience with machine learning and predictive modeling techniques.
• MBA or advanced degree in a related field.

Benefits & Perks

• Annual base salary ranging from $120,800 to $201,400.
• Participation in Pfizer's Global Performance Plan with a bonus target of 17.5% of the base salary.
• Eligibility to participate in Pfizer's share-based long-term incentive program.
• Comprehensive benefits including a 401(k) plan with Pfizer Matching Contributions, additional Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits (medical, prescription drug, dental, vision).
• Relocation assistance may be available.