About The Position

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. Organization Overview: At Lilly, we serve an extraordinary purpose. We make a difference for people around the globe by discovering, developing and delivering medicines that help them live longer, healthier, more active lives. Not only do we deliver breakthrough medications, but you also can count on us to develop creative solutions to support communities through philanthropy and volunteerism. 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 multi-functional expertise with pioneering 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 As a senior member of the centralized IRM Insights Hub team, you will co-own the technical architecture and analytics engineering strategy for Lilly's enterprise risk management capabilities. This individual contributor role requires deep expertise in data engineering, sophisticated analytics, and business intelligence technologies, combined with the ability to translate complex architectures into strategic business value. You will partner with risk owners across Ethics & Compliance, Legal, Privacy, Cybersecurity, Quality, HSE, Third Party Risk Management, and Corporate Audit Services to design and deliver analytics capabilities that transform how Lilly identifies and mitigates risk. This is a technical leadership role where your influence comes from deep technical credibility and the ability to solve hard problems that others cannot. You will move seamlessly between detailed technical development and executive communication, lead horizon scanning initiatives to identify emerging risks, perform sophisticated risk event investigations that reveal systemic vulnerabilities, and develop ground-breaking strategies that fundamentally improve risk management across the organization. You will be instrumental in positioning IRM as a strategic differentiator rather than a traditional compliance function

Requirements

  • Bachelor's Degree in Business Analytics, Statistics, Data Science, Risk Management, or related field/equivalent experience
  • 7+ years of hands-on experience building production analytics solutions with demonstrated expertise in data engineering, data modeling, ETL/ELT development, and business intelligence
  • 5+ years of experience at senior levels with consistent record of influencing C-suite and executive leadership
  • Qualified applicants must be authorized to work in the United States on a full-time basis. Lilly will not provide support for or sponsor work authorization and/or visas for this role.

Nice To Haves

  • Advanced degree strongly preferred (MS in Data Science, Statistics, Computer Science, Analytics, or MBA with quantitative focus)
  • Expert proficiency with Power BI including dashboard design, storytelling with data, and executive-level visualization
  • Hands-on experience with Microsoft Fabric or equivalent modern data platforms (Databricks, Snowflake, Azure) including lakehouse architecture, pipeline orchestration, and data governance
  • Proficiency with Python, R, and SQL with ability to evaluate technical approaches and guide solution design
  • Experience with statistical methods and machine learning techniques (classification, regression, clustering, time series forecasting) applied to risk detection and prediction
  • Understanding of DataOps, analytics engineering, and modern data team operating models
  • Demonstrated success implementing ground-breaking analytics programs within risk management, internal audit, compliance, or related assurance functions at enterprise scale
  • Familiarity with ServiceNow GRC, Archer, or other enterprise risk management platforms and experience integrating these systems with analytics infrastructure
  • Experience in pharmaceutical, healthcare, life sciences, or other highly regulated industries with sophisticated data environments
  • Strong intuition for business with ability to connect technical analytics capabilities to business strategy, operational efficiency, and risk mitigation
  • Exceptional communication and interpersonal skills with ability to deliver data-driven insights and compelling narratives that advise senior leadership decisions
  • High motivation, rapid learning agility, continuous improvement perspective, and passion for technical excellence
  • Comfortable communicating technical recommendations to senior leaders with ability to adjust communication style based on audience

Responsibilities

  • Analytics Solution Development & Architecture
  • Design and build production analytics solutions using Microsoft Fabric ecosystem (Data Factory, Synapse Analytics, OneLake) with medallion architecture patterns, data governance frameworks, and CI/CD pipelines
  • Develop advanced Power BI semantic models with sophisticated DAX, performance optimization (query folding, aggregations, incremental refresh), and enterprise deployment patterns (shared datasets, deployment pipelines)
  • Architect scalable data infrastructure including lakehouse organization strategies, version control workflows, and automated testing frameworks
  • Provide hands-on development ownership for the most sophisticated risk analytics challenges, serving as technical customer concern point and setting quality standards through example code and solution patterns
  • Establish and implement technical standards across DAX, Python, data modeling, and documentation; lead architecture reviews and solution validation to ensure enterprise-grade quality, security, and performance
  • Evaluate emerging analytics technologies, AI/ML capabilities (including generative AI for risk intelligence), and industry practices, providing recommendations for strategic investments
  • Architect integration patterns between risk management platforms (ServiceNow GRC), enterprise data systems, and analytics infrastructure, ensuring secure and maintainable solutions
  • Strategic Analytics Leadership & multi-functional Partnership
  • Co-own the enterprise risk analytics technology roadmap, coordinating priorities across risk functions and ensuring alignment with IRM strategic objectives
  • Lead technical discovery and requirements gathering for entrepreneurial analytics initiatives, translating ambiguous business needs into concrete solution designs
  • Develop horizon scanning analytics capabilities that identify emerging risks through automated monitoring of regulatory changes, industry trends, and threat intelligence using NLP and machine learning
  • Develop cases and value analyses for analytics investments, articulating technical capabilities in terms of quantifiable business value and risk mitigation
  • Generate technical recommendations for senior leadership that advise strategic decisions about analytics capabilities, technology investments, and risk management approaches
  • Partner with risk domain experts to understand their data ecosystems and translate business requirements into technical solutions through design sessions and architecture workshops
  • Translate sophisticated technical concepts and constraints into clear, accessible language for non-technical collaborators and executive audiences
  • Represent IRM Analytics technical capabilities in enterprise forums, demonstrating thought leadership and establishing credibility across the organization
  • Team Development & Knowledge Sharing
  • Provide hands-on technical mentorship to Risk Analytics Developers and Risk Data Engineers through code reviews, pair programming, architecture reviews, and collaborative problem-solving
  • Create comprehensive user documentation including solution architecture diagrams, data models, coding standards, development guides, and trouble solving resources that enable knowledge transfer and team scalability
  • Contribute to technical thought leadership through internal presentations, knowledge-sharing sessions, and external engagement with analytics and risk management communities

Benefits

  • Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).
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