Manager, Medical Data Analytics

Job Description

The Manager, Data Analytics is an important role within the Medical Excellence & Operations team within Global Medical Affairs. This role will serve as the data and analytics lead supporting operational excellence across the Global Medical Affairs organization. This role is responsible for collecting, analyzing, and translating data into actionable insights that inform medical strategy, field engagement, performance measurement and medical strategy.

The Manager, Data Analytics will work closely with both Field Medical and Headquarters teams to understand business needs and system requirements, support development of analytical solutions and other projects to drive key business processes and decisions for the Medical Affairs function. This role reports into the Business Solutions & Analytics Lead who reports into the Executive Director, Medical Excellence and Operations.

• Identify, collect, integrate and clean data from multiple sources (e.g.,field medical engagement data, MSL CRM, publications, congresses, medical inquiries).

• Ensure accuracy, integrity, and compliance of data within medical systems (e.g., Veeva CRM, publication databases, analytics platforms).

• Collaborate with IT and Data Governance to automate data pipelines and improve data availability.

• Organize data into optimal data structures flexible to cross-functional and cross-process data needs.

• Support audit-readiness and maintain documentation of data definitions, sources, and analytical methods.

• Generate actionable insights from data repository to inform medical strategy, therapeutic focus areas, and medical evidence-generation priorities.

• Evaluate key Medical activities (e.g., MSL engagement effectiveness, scientific exchange, publications) and identify key patterns and opportunities for improvement.

• Engage with the External Engagement & Field Excellence team to segment and profile key opinion leaders (KOLs) and other external experts using data-driven methodologies.

• Partner with global and regional medical teams to optimize field resource deployment and outreach strategies.

• Collaborate with other Medical Excellence & Operations colleagues to define and track core metrics for key activities (e.g., medical plans, publications, advisory boards, congresses).

• Align with Medical Leadership and implement key performance and/or activity indicators and metrics for business-critical decisions.

• Design standardized KPI frameworks and ensure consistency across regions and therapeutic medical business units.

• Prepare recurring performance dashboards and insights summaries for senior leadership to inform tactical and strategic decision-making.

• Develop interactive dashboards and reports to communicate trends, engagement metrics, and key field insights to leadership and cross-functional stakeholders.

• Collaborate with Field Excellence team to train all relevant stakeholders on the use and functionality of dashboards, applications, or other tools.

• Identify inefficiencies in data workflows, reporting, processes and propose or drive automation, streamlining data refreshes and reducing manual effort as needed.

• Optimize how dashboards and tools are structured and consider innovative solutions to analytics and internal reporting.

• Recommend or pilot new technologies / tools (e.g. data visualization, NLP, GenAI) to improve speed, insight depth, or usability.

• Contribute to innovation initiatives in automation, data visualization, and predictive analytics within Medical Affairs.

• Consider technology and AI to support workflow improvement.

• Collaborate cross-functionally with several stakeholders (e.g., Medical Operations, Field Medical, Clinical, HEOR, Commercial Analytics, IT teams) to:

• Align on methodologies and share insights

• Establish scalable analytics processes

• Develop dashboards and KPIs

• Ensure data quality and compliance across systems and sources

• Present findings to technical and non-technical audiences across levels through clear, tailored, data-driven storytelling

• Bachelor’s degree (Data Science, Statistics, Life Sciences, Health Informatics, or related field required); master’s, or equivalent is a plus.

• Minimum 5 years of experience in data and analytics roles, with at least 3 years in pharma or biotech roles (Medical Affairs, Clinical, or HEOR functions ideally).

• Expertise with analytical and visualization tools (e.g., Power BI, Tableau, Python, SQL).

• Proven experience managing large, multi-source datasets and expertise developing dashboards or KPIs that drive strategic decisions.

• Familiarity with Medical Affairs systems (e.g., Veeva CRM, publication management, CLM platforms) and compliance principles.

• Demonstrated ability to work cross-functionally with…