Group Lead Data and Process Management

Job title: Group Lead Data & Process Management

• Location: Hyderabad
• % of travel expected: Travel required as per business need, if any
• Job type: Permanent and Full time

About the job

Strategic context

As part of GTMC, Insights & Analytics Capabilities delivers best-in-class and transformative insights and innovative tools and methods that actionably fuel Sanofi’s strategic business decisions, processes and deliverables. In doing so, our Hubs are a crucial part of how we innovate, improving performance across every Sanofi department and providing a springboard for the amazing work we do. Build a career and you can be part of transforming our business while helping to change millions of lives. Ready?

Overall Purpose At Sanofi, we leverage analytics and technology to benefit patients worldwide. We seek individuals passionate about using data, analytics, and insights to drive decision-making and tackle global health threats. Our mission is to transform decision-making across our end-to-end commercialization process, from business development to late lifecycle management.

Key Responsibilities

Group Lead – Data & Process Management drives transformational business impact by masterfully leading cross-functional synergies across Global Business Units and Global Team Management Centers. Through decisive strategic leadership and operational excellence, this role revolutionizes complex analytics ecosystems into powerful value-creation engines. By architecting and optimizing multi-layered team structures, motivating diverse talent, and implementing process efficiencies, the Group Lead is also responsible for fostering new engagement models. Their exceptional people management skills cultivate high-performing teams that elevate analytical capabilities, while ensuring stakeholder alignment across organizational boundaries to accelerate critical business outcomes and competitive advantage. Through strategic demand management, they expertly prioritize data strategy initiatives, balance resource allocation against business priorities, and implement governance frameworks that maximize value delivery while maintaining operational excellence.