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. Integrated Risk Management Program Overview 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. Position Description 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 ServiceNow 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.