Associate Director - Technical Data Product Owner
Eli Lilly
- Location
- Indianapolis, Indiana, United States of America
- Employment
- Full Time
- Work model
- On-Site
- Level
- Senior
- Posted
- Sep 8, 2026
Skills
About this role
At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life-changing medicines, strengthen how health is understood and managed, and support the communities we serve. This is hard, urgent, selfless work—but it’s work worth doing. If you’re driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us. We are seeking a highly motivated Technical Data Product Owner to lead the strategy, roadmap, and delivery of the LillyDirect Pharmacy Covered Entity Data Hub. This role serves as the bridge between business collaborators, data engineering teams, enterprise technology organizations, external data partners, and compliance functions to ensure secure, scalable, and compliant delivery of pharmacy and healthcare data assets. The ideal candidate combines strong product ownership capabilities with technical expertise in data platforms, HIPAA-regulated environments, Agile delivery practices, and cross-functional stakeholder management. This individual will handle defining and prioritizing the product roadmap, leading delivery execution, and driving business value through data products that support analytics, reporting, operational processes, and patient-centric initiatives.
Key Responsibilities
Product Strategy & Roadmap Own and lead the product vision, strategy, and roadmap for the LillyDirect Pharmacy Covered Entity Data Hub. Partner with business stakeholders to translate business goals into actionable product capabilities and technical requirements. Define quarterly and annual roadmaps aligned with business priorities, regulatory requirements, and enterprise data strategy. Prioritize initiatives, features, and technical debt using a value-driven approach. Agile Product Ownership Maintain and prioritize the product backlog within Jira. Create and refine epics, features, user stories, and acceptance criteria. Lead backlog grooming, sprint planning, sprint reviews, and release planning activities. Ensure product delivery aligns with business requirements, quality standards, and timelines. Run challenging priorities across multiple collaborator groups. Data Engineering & Technical Delivery Leadership Work closely with Data Engineers, Solution Architects, Platform Engineers, and Enterprise Technology teams to design and deliver scalable data solutions. Coordinate onboarding of new pharmacy, telehealth, dispensing, prescribing, and covered entity data sources. Support the development of data ingestion, transformation, quality, and observability capabilities. Facilitate technical design discussions and guide prioritization of engineering work. Understand modern cloud-based data architectures and data integration patterns. Stakeholder Management Serve as the main liaison between: Business stakeholders Data Engineering teams Enterprise Data platforms Legal, Privacy, and Security teams Vendor and third-party data partners Analytics and Reporting teams Lead requirements gathering workshops and drive consensus across diverse stakeholder groups. Communicate roadmap progress, risks, dependencies, and delivery status to leadership teams. Data Governance, Privacy & Compliance Ensure all product capabilities align with HIPAA, privacy, security, and regulatory requirements. Partner with Privacy, Cybersecurity, and Compliance teams throughout the product lifecycle. Support Data Transfer Agreements (DTAs), data-sharing reviews, and data governance processes. Understand tokenized healthcare data, de-identification approaches, and secure data exchange practices. Drive implementation of data quality, auditability, and governance controls. Data Quality & Operational Excellence Define and monitor key product