Data Strategy Manager

405 Eli Lilly do Brasil Ltda; São Paulo; On-site; BRL 420,000 - 680,000; Full time

Job summary

Lilly Brazil is seeking a Senior Manager to lead data strategy, governance and analytics across the organization. You will drive the data roadmap, standards and dashboards, partnering with global teams to enable trusted data for commercial and medical decisions.

You will oversee a team across data architecture, reporting and advanced analytics, while coordinating with vendors and offshore partners. Fluency in English and Portuguese is essential.

Qualifications

• Minimum 8 years in data, analytics, BI or commercial operations.
• Minimum 3 years leading data strategy, architecture or platform work.
• Minimum 3 years of people leadership experience.
• Proven delivery of data and IT projects on modern cloud and BI platforms.
• Solid knowledge of data modeling, governance, data quality and security.
• Working knowledge of AI and machine learning, and how to bring them to production responsibly.
• Strong vendor, budget and portfolio management skills.
• Demonstrated ability to influence senior stakeholders across commercial and medical functions.
• Fluent in English and Portuguese (written and spoken).

Responsibilities

• Define and run the Brazil data strategy aligned with global BI&A priorities.
• Build a multi-year data roadmap with clear priorities, owners and funding needs.
• Set up data governance: ownership, definitions and compliance with LGPD.
• Own the Brazil data architecture from ingestion to serving layers.
• Lead redesign and consolidation of dashboards into enterprise-standard reports.
• Define AI and advanced analytics agenda for Brazil with value targets.
• Lead change management and capability building across teams.
• Manage budget, capacity and vendor/offshore teams.

Skills

Data strategy

Leadership

Data governance

Vendor management

Stakeholder management

Bilingual English/Portuguese

AI/ML awareness

Communication

Tools

BI tools

SQL

Cloud data platforms

Job description

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 indicators, such as active users, retired reports and use of certified data.

Team, vendors and partners

Lead, coach and develop a team across data architecture, reporting and advanced analytics. Manage vendor and offshore teams for quality, timing and cost. Manage budget, capacity and priorities across the data portfolio. Align roadmaps with global BI&A, GCDP, Tech@Lilly, OCE, CRM and Digital Business Hub teams.

MINIMUM REQUIREMENTS

• Minimum 8 years of experience in data, analytics, BI or commercial operations.
• Minimum 3 years leading data strategy, architecture or platform work.
• Minimum 3 years of people leadership experience (direct reports and/or matrix leadership).
• Proven delivery of data and IT projects on modern cloud and BI platforms.
• Solid knowledge of data modeling, governance, data quality and security.
• Working knowledge of AI and machine learning, and how to bring them to production responsibly.
• Strong vendor, budget and portfolio management skills.
• Demonstrated ability to influence senior stakeholders across commercial and medical functions.
• Fluent in English and Portuguese (written and spoken).

ADDITIONAL PREFERENCES

• Change-management experience, with a track record of guiding teams through platform and process transitions.
• Experience in pharma or another regulated industry.
• Global or multi-market data program experience.
• Understanding of pharma commercial, medical and omnichannel data, such as CRM, sales and market data.
• Hands‑on knowledge of BI tools, SQL and cloud data platforms.
• Curiosity about AI and data trends, with the discipline to turn them into practical solutions.
• Ability to explain technical topics to non-technical leaders.
• Bias toward measurable business outcomes.

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.

#WeAreLilly At Lilly we strive to ensure our employees are part of a team that cares about them and our shared purpose of making life better for those around the world. How do we do this? We continue to look for ways to include, innovate, accelerate and deliver while maintaining integrity, excellence and respect for people. We hope that you seek to join us on our journey as we create medicine and deliver improved outcomes for patients across the globe! #WeAreLilly