Technical Product Owner, Patient Data

Technical Product Owner role focused on building and modernizing trusted patient records for LillyDirect Pharmacy and digital health experiences.

Responsibilities

• Own prioritization of product backlogs across Patient Data products with business owners, Lead Team, and Governance
• Balance business value, technical dependencies, platform capacity, and technical debt
• Translate business needs into technical requirements and user stories (data models, source-to-target mappings, patient matching rules, acceptance criteria)
• Drive technical design reviews and end-to-end delivery of patient data integrations and data products (batch, API, event-based)
• Coordinate architecture, security, and privacy reviews for integrations across LillyDirect pharmacy, telehealth, and digital experience systems
• Plan, configure (hands-on), and test solutions using SQL, Python, and Databricks notebooks for data profiling, validation, and troubleshooting
• Define and lead the future-state patient data strategy and coach developers and engineers
• Drive digital innovation, continuous improvement, and automation at scale as a change agent
• Influence external vendors (MDM, identity resolution, data quality, data platform) and partner with internal IT teams (e.g., EI&P, Solution Services) and business teams (LillyDirect Product and Pharmacy Operations, Privacy, Computer Systems Quality Assurance)
• Define and enforce data quality standards, metrics, and monitoring (completeness, accuracy, timeliness, match rates, duplicate rates)
• Drive root-cause remediation with source system owners to address data quality issues
• Ensure governance alignment: lineage, cataloging, access controls, and consent enforcement
• Handle patient PII and PHI in alignment with HIPAA, GDPR, CCPA, applicable state privacy laws, and Lilly privacy and cybersecurity standards
• Partner with Computer Systems Quality Assurance to support GxP and computer system validation compliance
• Evaluate and pilot AI/GenAI use cases (ML-based entity matching; LLM-assisted data stewardship and enrichment) and move proven approaches into production

Requirements

• Bachelor’s degree in Computer Science, Information Technology, or related area
• 5+ years of IT experience
• 3+ years hands-on experience with data platforms, data integration, or master data management
• 3+ years working on business processes and systems; experience supporting business-unit technology teams

Technologies

• SQL, Python, Databricks notebooks, Databricks, Apache Spark
• AWS, Azure, batch, API, event-based
• CI/CD, infrastructure-as-code
• Agile (e.g., SAFe)
• HIPAA, GDPR, CCPA, GxP
• GenAI, ML-based entity matching, LLM-assisted data stewardship and enrichment
• ETL/ELT, Tableau, Power BI, LLMs
• NLP/NLG, predictive and prescriptive modeling
• MDM, identity resolution, MDM or identity platform (e.g., Reltio, Informatica)

Location and Compensation

• Location: Indianapolis, IN (onsite)
• Salary: USD 129,000 - 189,200 per yearly

Benefits

• Company bonus (depending in part on company and individual performance)
• 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)

Keys to Success

• Act as the go-to technical expert on patient master data, data engineering, analytics, data onboarding, and data quality
• Partner with LillyDirect and data and analytics business partners to build the patient data transformation and technical roadmap and coordinate delivery
• Anticipate and resolve integration and technical issues impacting patient data systems and the patient experience
• Manage implementation tasks and activities; oversee and mitigate technology risks for stable, resilient solutions
• Partner with other Lilly IT teams (IT Infrastructure, Telecommunication, Enterprise Platforms) to support stable ongoing operations
• Define and track product and platform KPIs (patient match rate, data quality scores, pipeline reliability and SLAs, platform cost, adoption)

Core Attributes

• Proven track record in IT project and product delivery, ideally for data platforms or data products
• Ability to influence complex business and technical decisions
• Clear communication with IT teammates and business stakeholders
• Strong interpersonal skills and ability to build global networks and partnerships
• Analytical and problem-solving skills, learning agility, comfort with ambiguity

Desirable Skills

• Technical leadership of developers and engineers (direct or through influence); managing deliverables with senior business stakeholders
• Hands-on design, build, or ownership of ETL/ELT pipelines on AWS or Azure, with working knowledge of Databricks and Apache Spark
• Strong SQL and data modeling; working knowledge of Python for profiling, validation, and automation
• Working knowledge of integration patterns (batch, API, event streaming) and warehouse/lakehouse concepts
• Working knowledge of data quality, data governance, and MDM concepts (matching, survivorship, stewardship, lineage), including patient or consumer identity resolution
• Experience with consent and preference management and handling PHI/PII under HIPAA and global privacy regulations
• Agile experience (e.g., SAFe) and DevOps practices (CI/CD, version control)
• Regulated industry experience; pharmaceutical or healthcare preferred, including familiarity with GxP and computer system validation
• Experience with patient-facing digital, e-commerce, pharmacy, or digital health platforms
• BI and data visualization experience (Tableau or Power BI)
• Working knowledge of AI/ML (LLMs, NLP/NLG, predictive and prescriptive modeling), including GenAI and ML for data quality, entity matching, and stewardship
• MDM or identity platform experience (e.g., Reltio, Informatica) and reference data sources
• Experience with data governance, catalog, lineage tools, and data quality frameworks
• Change agent who owns issues and opportunities through to resolution