Associate Director - Integrated Risk Analytics Developer

Role Summary

The Associate Director - Integrated Risk Analytics Developer leads analytics initiatives within Lilly's Integrated Risk Management program, translating complex business questions into actionable intelligence to inform strategic decisions across the IRM ecosystem. This individual contributor designs and delivers executive dashboards, enterprise Power BI solutions, and self-service analytics capabilities to help risk leaders monitor portfolios, anticipate threats, and make data-driven decisions. Working within the centralized IRM Insights Hub, you will own end-to-end solution delivery for high-impact analytics initiatives spanning multiple risk domains.

Based in Indianapolis, Indiana, this role leverages Microsoft Fabric and Power BI, integrating data from enterprise systems such as Service Now GRC, SAP, and Workday to break down data silos and enable analytics for everyone.

• Lead end-to-end analytics initiatives from requirements gathering through deployment, independently owning project planning, solution architecture, development, and delivery for high-visibility risk intelligence capabilities
• Design and develop Power BI dashboards and executive visualizations that analyze risk data across the enterprise, identifying emerging threats, trends, and insights to support function-level and senior leadership decision-making
• Architect self-service analytics capabilities that enable risk leaders and business partners to supervise risk portfolios and make real-time, data-driven decisions without ongoing developer support
• Design and implement artificial intelligence and automation solutions using Power Platform (Power Automate, Copilot Studio), Claude, and Microsoft Fabric capabilities to address complex risk management challenges
• Architect data integration solutions that leverage multiple enterprise sources including Service Now GRC, SAP, Workday, Success Factors, and assurance platforms using Microsoft Fabric's data engineering capabilities
• Drive process standardization and automation strategies that enable IRM and partner risk functions to operate more effectively and efficiently at scale

• Serve as a key technical resource for analytics requests from risk functions, independently producing sophisticated datasets and insights that support risk assessments, audits, investigations, and critical initiatives
• Lead enterprise risk reporting initiatives to business partners, risk owners, senior leadership, and key collaborators, ensuring analytics outputs meet executive decision-making needs
• Partner with risk function leaders to anticipate and identify control risks and emerging threats relative to regulations, policies, procedures, and business objectives
• Develop and maintain comprehensive documentation of analytics tools, data models, semantic models, data pipelines, and methodologies; support the definition of standards and governance practices that enable knowledge sharing and team scalability

• Build and maintain strategic relationships with risk data owners, assurance function partners, and business leaders across risk functions to identify internal customer requirements, unmet analytics needs, and process improvement opportunities
• Lead the upskilling of risk functions and business partners in data analytics domains, serving as a subject matter expert and contributing to the "Analytics for Everyone" vision
• Lead and collaborate on multi-functional analytics initiatives that strengthen Lilly's integrated risk intelligence capabilities, influencing technical decisions that impact the broader IRM function

• Required:
  
  5+ years of relevant professional experience in data analytics
• Required:
  
  Authorized to work in the United States on a full-time basis;
  Lilly will not provide sponsorship

• Bachelor's Degree in Business Analytics, Statistics, Data Science, Computer Science, or related field

• Preferred:
  Power BI, including sophisticated DAX, data modeling, performance optimization, and executive dashboard design with SQL and data transformation tools
• Preferred:
  Demonstrated experience independently…