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 THE ROLE
The manager leads the data strategy, architecture, reporting and AI agenda for Business Intelligence & Analytics (BI&A) in Brazil. The role turns data into a trusted asset that teams can reuse. It supports commercial and medical decisions and helps the business adopt new ways of working with data.
In partnership with global BI&A, GCDP, Tech@Lilly and Brazil leadership, the role sets the data roadmap, guides platform choices and keeps governance simple and enforceable. The Manager leads a team across data architecture, reporting and advanced analytics, plus vendor and offshore partners.
MAIN RESPONSIBILITIES
Data strategy and governance
Define and run the Brazil data strategy, aligned with global BI&A priorities and the enterprise data platform.
Build a multi-year data roadmap with clear priorities, owners, funding needs and measurable outcomes.
Set up data governance: ownership, definitions, quality rules, access controls and compliance with LGPD and Lilly policies.
Standardize KPIs and metric definitions so every report tells the same story.
Manage internal and external data sources, including contracts, costs and refresh rules.
Data architecture and platforms
Own the Brazil data architecture, from ingestion and storage to modeling and serving layers.
Work with Tech@Lilly to choose platforms and tools that meet enterprise standards and can scale.
Lead adoption of the Enterprise Data Backbone, and retire local pipelines and duplicate data stores when a standard option exists.
Keep pipelines reliable, documented, monitored and cost aware.
Prepare data foundations for AI: clean, well described, secure and easy to find.
Decide what to build locally and what to reuse from global teams.
Reporting and insight delivery
Lead the redesign and consolidation of dashboards into a small set of enterprise-standard reporting products.
Retire legacy reports and set clear rules for when a new dashboard is justified.
Define service levels for reporting, including refresh times, data quality, support and release cycles.
Translate complex data into clear insights for Commercial, Medical, Finance, Corporate Affairs and Operations.
Enable self-service analytics with certified datasets, shared semantic models and simple guidance.
Represent data and reporting topics in Brazil leadership forums and planning cycles.
AI and advanced analytics
Define the AI and advanced analytics agenda for Brazil, tied to real business use cases and value targets.
Rank use cases by value, feasibility and data readiness, and stop those that do not deliver.
Partner with global teams and Tech@Lilly to bring approved AI tools and models into daily work.
Set guardrails for responsible AI, including data privacy, model validation, human review and audit trails.
Track adoption and business impact of each AI solution, not only delivery.
Test new methods in small pilots and scale only what works.
Change management and capability building
Lead a change plan for each major data initiative, with stakeholder mapping, communication, training and adoption tracking.
Guide teams and business partners through the move from legacy tools to new platforms and ways of working.
Build data literacy programs for commercial, medical and corporate teams.
Name data champions in each area and run regular feedback loops.
Measure adoption with clear…