Associate Director: Data Engineering Lead - LillyDirect Platform

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.

You will join a growing team of business intelligence and analytics professionals focused on Lilly's first-party patient data initiatives. The Associate Director – Patient Data Engineering Lead will own the data engineering foundation for Lilly Direct, Lilly's direct‑to‑patient pharmacy platform. This role is responsible for designing and delivering patient analytics data products that span prescription initiation, dispensing fulfillment, and end‑to‑end patient journey analytics — integrating Lilly Direct data flows into the broader consumer first‑party data ecosystem.

A critical dimension of this role is ensuring HIPAA authorization and SPI (Sensitive Personal Information) consent governance: from consent capture and preference center architecture to enterprise‑level revocation propagation across integrated systems and intake pharmacy partners. You will build scalable ingestion pipelines for pharmacy partner data, implement tokenization and identity resolution for linked patient analytics, and deliver semantic layers that enable downstream BI, reporting, and agentic AI use cases.

This position works closely with the Lilly Direct product team, intake pharmacy partners, the consumer first party data platform team, and BIA platform enablement — translating patient analytics requirements into governed, scalable, privacy‑first implementations. The ideal candidate combines deep data engineering expertise with a strong command of healthcare privacy regulations and a passion for enabling trusted patient analytics at enterprise scale.

This position works with the Sr. Director – Consumer Data Engineering.

• Lead the design, development, and delivery of patient analytics data products supporting Lilly Direct pharmacy: patient journey tracking, prescription initiation, dispensing fulfillment, and program engagement analytics.
• Integrate Lilly Direct data flows into the consumer first‑party data ecosystem, ensuring patient analytics align with and extend the broader consumer engagement platform and 1PD data standards.
• Architect HIPAA‑compliant data infrastructure for the Lilly Direct platform — including HIPAA authorization capture, SPI consent management, enterprise vs. Lilly Direct consent scoping, and revocation propagation across all integrated systems and journeys.
• Design and implement tokenization and identity resolution pipelines linking prescription, dispensing, and intake pharmacy partner data to enable end‑to‑end, privacy‑governed patient journey analytics.
• Build scalable, reliable data ingestion pipelines for pharmacy partner data (C5/LDP, intake pharmacy feeds); define data quality standards and validation processes for enterprise‑scale patient datasets.
• Deliver semantic layers and analytics‑ready data products — curated datasets, data dictionaries, and governed access patterns enabling downstream BI reporting, self‑service analytics, and agentic AI use cases.
• Govern data access and privacy controls in coordination with legal, cyber, and privacy teams; own data recertification milestones, Reltio/Cassie integrations, and consent scoping decisions.
• Collaborate closely with multi‑functional teams — Lilly Direct product team, intake pharmacy partners, consumer 1PD analytical platform team, and BIA platform enablement — to translate business requirements into technical specifications and deliver governed, high‑quality data products.

• Bachelor's and/or…