Analyst - Risk Data Engineer

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At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life‑changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first.

We’re looking for people who are determined to make life better for people around the world.

Lilly’s Integrated Risk Management (IRM) program is a strategic enterprise initiative that transforms traditional risk management into a competitive advantage by uniting cross‑functional expertise with cutting‑edge analytics and technology. IRM enables faster, better informed decision‑making that protects what matters most: our operations, reputation, and ability to deliver life‑saving medicines to patients. This integrated approach creates a coordinated and proactive system that helps Lilly stay resilient and agile as we continue reaching more patients than ever before.

The Risk Data Engineer creates the data foundation that powers risk intelligence across the enterprise by integrating fragmented systems, building unified data pipelines, and ensuring risk leaders have access to complete, accurate, and timely risk data. Working within the centralized IRM Analytics team, you will architect and implement data solutions using Microsoft Fabric that connect disparate risk platforms—including Service Now GRC, assurance systems, enterprise applications, and business‑specific tools—into cohesive data ecosystems that enable comprehensive risk visibility.

This role focuses on designing and maintaining robust data infrastructure using Microsoft Fabric’s medallion architecture, implementing data pipelines and transformation workflows, and establishing data governance frameworks that ensure data quality, security, and accessibility across all IRM functions. You will transform how risk data flows through the organization, breaking down historical silos and creating analytics and AI‑ready datasets that enable advanced analytics, real‑time monitoring, and predictive risk intelligence.

• Design, build, and maintain enterprise risk data pipelines using Microsoft Fabric with medallion architecture (bronze, silver, gold layers) that integrate data from multiple risk domains and enterprise systems
• Implement data engineering workflows using Fabric Data Factory, Synapse Data Engineering (Spark notebooks), and Dataflows Gen2 to consolidate fragmented risk data from Service Now GRC, SAP, Workday, Success Factors, assurance platforms, and other enterprise and function‑specific systems
• Create unified data models and Power BI semantic models that enable cross‑functional risk analytics, ensuring data consistency, accuracy, and accessibility across all risk functions
• Develop and maintain data quality frameworks, validation rules, and monitoring processes that ensure leadership has reliable, credible risk intelligence
• Establish and enforce data governance standards, security protocols, and access controls that protect sensitive risk information while enabling appropriate data sharing

• Partner with Risk Analytics Developers, Risk Insights Architects, and Risk Data Scientists to understand data requirements and deliver datasets that power dashboards, reports, predictive models, and risk assessments
• Build scalable, automated data solutions using Fabric pipelines and dataflows that reduce manual data preparation efforts and enable real‑time or near‑real‑time risk monitoring capabilities
  
  Optimize data pipeline performance using Fabric’s compute resources and data storage options (Lakehouse, Data Warehouse) to ensure customers receive timely, accurate risk intelligence when decisions need to be made
• Implement data observability and monitoring solutions that proactively identify…