Associate Director – Data Engineering Lead, LillyDirect Platform

Eli Lilly and Company

Associate Director responsible for data engineering on LillyDirect pharmacy platform. Leading patient analytics data product strategies within healthcare data regulations.

Posted 5/7/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $132,000 - $193,600 per yearWebsite

Tech Stack

Tools & technologies

Amazon RedshiftApacheAWSAzureCloudPythonSparkSQL

About the role

Key responsibilities & impact

Lead the design, development, and delivery of patient analytics data products supporting LillyDirect pharmacy: patient journey tracking, prescription initiation, dispensing fulfillment, and program engagement analytics
Integrate LillyDirect 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 LillyDirect platform — including HIPAA authorization capture, SPI consent management, enterprise vs. LillyDirect 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 — LillyDirect 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

Requirements

What you’ll need

Bachelor's and/or Master's Degree in Computer Science, Engineering, Statistics, Information Technology, Information Management
5+ years of experience in data engineering, with a focus on developing data products and solutions in healthcare, pharma, or similarly regulated environments
5+ years of expertise in SQL, Python
5+ years of hands-on experience with cloud-native data engineering tools (ex. Databricks, Delta Lake, Apache Spark) and enterprise data warehouse platforms (ex. Snowflake, Redshift, or equivalent), with exposure to large-scale patient or clinical datasets
Experience with cloud platforms such as AWS or Azure
Qualified applicants must be authorized to work in the United States on a full-time basis.

Benefits

Comp & perks

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)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data engineeringSQLPythondata product developmentdata ingestion pipelinestokenizationidentity resolutiondata quality standardsanalytics-ready data productsHIPAA compliance

Soft Skills

collaborationcommunicationproblem-solvingorganizational skillsleadership