Data Governance Analyst driving enterprise - wide data initiatives at AFL, a leading manufacturer of fiber optic solutions. Engaging stakeholders to enhance data quality and governance practices.
About the role
- Senior Director guiding analytics strategy and architecture for enterprise risk management capabilities. Collaborating with various stakeholders to innovate and transform risk analytics at Lilly.
Responsibilities
- 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)
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