Sr. Manager/Manager - Supply Chain Analytics
Eli Lilly
- Location
- Bangalore, Karnātaka, India
- Employment
- Full Time
- Work model
- On-Site
- Level
- Senior
- Posted
- Sep 17, 2026
Skills
About this role
At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life-changing medicines, strengthen how health is understood and managed, and support the communities we serve. This is hard, urgent, selfless work—but it’s work worth doing. If you’re driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us. About Lilly At Lilly, everything we do starts with patients. We unite caring with discovery to make life better for people around the world. Headquartered in Indianapolis, Indiana, our global team of over 50,000 employees work with urgency and purpose to discover and deliver life-changing medicines, strengthen how health is understood and managed, and support the communities we serve. We bring our best to this work because people depend on it. If you’re driven by purpose and determined to make a meaningful difference for patients, we invite you to bring your skill and your commitment to Lilly. About Your Role at Lilly At Lilly, every function has a role in getting medicines to patients. Some build the science. Others build the organisation that makes the science possible. At Lilly in Bengaluru, the Supply Chain function is the infrastructure that allows scientists, engineers, and commercial professionals to do the work that reaches patients. Your work is part of that chain.
Job Description
This role is part of the Business Intelligence Center of Excellence (COE), a global team that leverages advanced analytics capabilities to enable the achievement of Global Supply Chain (GSC) objectives. This role will provide technical expertise across supply chain analytics, planning, and global logistics for manufacturing sites, affiliates, hubs, regions, and zones. Candidate requires a strong understanding of end-to-end supply chain processes combined with advanced analytical skills like statistical modelling, AI/ML and data engineering concepts. This role will lead and deliver high-impact projects that enhance operational efficiency and support data-driven decision-making across the global supply chain. Responsibilities include driving cross-functional collaboration, managing stakeholders, identifying and mitigating risks, and effectively communicating project status, milestones, and key deliverables. This role also contributes to supply chain transformation initiatives including NexGen programs and works closely with GSC teams to streamline operations through analytics and automation.
Key Responsibilities
Provide advanced analytical expertise to Global Supply Chain (GSC) stakeholders, with a strong focus on optimizing processes, systems, and tools used to manage products across complex supply networks. Design, develop, and deliver enterprise-grade Power BI dashboards that enable real-time visibility into key supply chain KPIs, including inventory health, service levels, and logistics performance across global operations. Translate complex and high-volume supply chain data into clear, actionable insights, empowering stakeholders to make faster, data-driven decisions. Enhance and modernize reporting solutions by improving data accuracy, usability, and self-service capabilities — reducing manual effort while increasing stakeholder confidence and adoption. Lead root-cause analysis and resolution of issues within reporting and analytics solutions to ensure reliability, continuity, and accuracy of business-critical insights. Build and operationalize scalable ETL pipelines and robust semantic data models that integrate data across ERP, planning, and logistics systems. Support and contribute to strategic data initiatives, including EWM, TMS and Enterprise Data Lake (EDB), ensuring standardized,