Advanced Analytics Manager- Medical, ViiV

You will lead advanced analytics projects within ViiV’s Medical function, turning complex data into clear and actionable insights. Working closely with cross-functional teams, you will help drive smarter decisions that support patient outcomes and business goals.

Strategic Analytics Leadership Partner with Medical Affairs to lead advanced analytics initiatives, translating strategic priorities and business questions into analytical approaches, measurement frameworks, and actionable insights that inform Medical strategy and strengthen evidence generation. Develop analytical models to identify the drivers of Medical initiative performance and their contribution to strategic outcomes, informing future strategies and investments.

Cross-Functional Collaboration Collaborate with Medical Affairs teams to ensure existing or newly developed KPI frameworks align with Medical priorities, with clearly defined metrics, robust business rules, and actionable measures; oversee end-to-end dashboard design and delivery in collaboration with vendors. Collaborate with and support the Commercial team on cross-functional initiatives, analytical activities, and shared deliverables. Collaborate with Digital and Cx teams to develop robust Medical Cx analytics aligned with strategic priorities and ensure insights are effectively leveraged. Partner with Data Governance and Data Engineering teams to improve data quality, governance, and automation, enabling faster access to reliable insights within established compliance frameworks.

Insight Generation & Communication Develop and deliver insights through clear, visually engaging reports and presentations for diverse audiences. Translate complex analyses into clear, compelling insights and recommendations through reports, dashboards, and presentations.

AI / Machine Learning Advancement Advance the integration of AI and machine learning across Medical Analytics, leading the transition of operational processes and ad hoc analytics activities to agentic workflows to drive automation, efficiency, and scalability.

Data Culture & Self-Service Enablement Drive adoption of self-service analytics tools and best practices across the medical team to enable data-driven decision making.

Basic Qualification & Experience:

• Bachelor’s degree in a relevant field such as statistics, data science, life sciences, or computer science.
• Strong experience applying advanced analytics methods in a commercial & medical pharmaceutical environment.
• Proven ability to work collaboratively in cross-functional teams and communicate complex insights clearly.
• Hands-on experience with analytics and reporting tools such as Python, R, SQL & Power BI.
• Strong stakeholder management skills with the ability to influence at multiple levels.
• Experience managing external vendors or analytics service providers.

Preferred Skills & Experience:

• Master’s degree or higher in statistics, data science, epidemiology, or a related discipline.
• Experience with marketing mix modeling, forecasting, segmentation, or causal inference techniques.
• Familiarity with medical and healthcare data sources, including real-world data or electronic health records.
• Knowledge of AI or machine learning applications in medical or commercial analytics.
• Has proven track record in leading change initiatives and embed analytics into business processes.