co-own the technical architecture and analytics engineering strategy for Lilly's enterprise risk management capabilities
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
lead horizon scanning initiatives to identify emerging risks
perform sophisticated risk event investigations that reveal systemic vulnerabilities
develop ground-breaking strategies that fundamentally improve risk management across the organization
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
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
architect integration patterns between risk management platforms (ServiceNow GRC), enterprise data systems, and analytics infrastructure
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

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
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
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.

Benefits

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
well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities)

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data engineeringdata modelingETLELTbusiness intelligenceDAXPythonRSQLmachine learning

Soft Skills

communicationinterpersonal skillsinfluencingstorytelling with databusiness intuitionrapid learning agilitycontinuous improvementtechnical excellenceadaptabilityleadership

Certifications

Bachelor's Degree in Business AnalyticsBachelor's Degree in StatisticsBachelor's Degree in Data ScienceBachelor's Degree in Risk ManagementMS in Data ScienceMS in StatisticsMS in Computer ScienceMBA with quantitative focus