Healthcare Data Engineering Product Jobs

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Associate Director - Technical Product Owner, HCP Customer Master Data Platforms

Eli Lilly Indianapolis, IN

Indianapolis, IN

Today

$129k - $189k/yr Full time Ai Workflows Big Data Bigdata

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Job Description

Eli Lilly is seeking an Associate Director to serve as a technical Product Owner for the HCP Customer Master Data Platforms in Indianapolis, Indiana. In this onsite role, you will lead ideation, design, and development efforts aimed at modernizing and improving HCP customer master data while balancing business value with technical dependencies, platform capacity, and technical debt.

You will own backlog prioritization across customer master data capabilities, translate business needs into technical requirements and user stories, and help ensure data integrations and data products meet security-by-design and privacy-by-design expectations. The role also calls for driving AI and GenAI capabilities from evaluation into production data products.

What you’ll do

Prioritize product backlogs and new items across Customer Master Data products, aligned with key business owners, the Lead Team, and Governance
Translate business requirements into technical product detail, including data models, source-to-target mappings, matching rules, and acceptance criteria
Partner with technical SMEs to drive technical design review and ensure end-to-end completion of tasks for data integrations and data products, including architecture, security, and privacy reviews
Plan, analyze, configure, and test solutions hands-on using SQL, Python, and Databricks notebooks for data profiling, validation, and troubleshooting
Define future-state customer data strategy and provide technical guidance and coaching to developers and engineers
Drive digital innovation and continuous improvement, including automation at scale, serving as a change agent throughout the organization
Coordinate across internal teams and vendors, working with external vendors (including MDM, data quality, and data platform providers) and internal IT groups such as EI&P, other Solution Services teams, and Dedicated groups, plus business colleagues including Global Customer Operations, US Commercial Operations, Computer Systems Quality Assurance, and Global Transparency
Define and enforce data quality standards using metrics and monitoring (for example completeness, accuracy, timeliness, and match rates), then drive root-cause remediation with source system owners
Ensure governance alignment for lineage, cataloging, access controls, and secure handling of PII/HCP data aligned with GDPR, CCPA, and Lilly privacy and cybersecurity standards
Collaborate on validation and compliance with Computer Systems Quality Assurance for GxP and computer system validation requirements
Evaluate and pilot AI/GenAI capabilities such as ML-based entity matching and LLM-assisted data stewardship and enrichment, and bring proven use cases into production

How you’ll succeed

Act as the go-to technical expert across customer master data, data engineering, and analytics technologies, including data onboarding and data quality
Partner with data and analytics business stakeholders to build transformation and technical roadmaps for customer data and coordinate solution delivery
Anticipate and resolve integration and technical issues affecting data systems
Manage activities needed for successful technology implementation and mitigate technological risks for stable, resilient solutions
Work with other Lilly IT teams (for example IT Infrastructure, Telecommunication, & Enterprise Platforms) to support ongoing operations
Define and track product and platform KPIs including data quality scores, pipeline reliability and SLAs, platform cost, and adoption

Required qualifications

5+ years of IT experience
3+ years of hands-on experience with data platforms, data integration, or master data management
Bachelor’s Degree in Computer Science, Information Technology, or a related technical field
Proven track record in IT project and product delivery, ideally for data platforms or data products
Proven ability to influence complex business and technical decisions
Effective communication with IT teammates and the ability to present to business stakeholders
Excellent interpersonal skills, including building global networks and partnerships
Strong analytical and problem-solving skills
Strong learning agility and ability to work in ambiguity

Technologies you’ll work with

SQL, Python, Databricks notebooks, Databricks, Apache Spark, ETL, ELT
AWS, Azure, CI/CD, infrastructure-as-code
GenAI, AI/ML, LLMs, NLP/NLG
ML-based entity matching, LLM-assisted data stewardship and enrichment
GxP, GDPR, CCPA, MDM

Compensation and benefits

Salary: USD 129,000 - 189,200 per year.

Company bonus (depending, in part, on company and individual performance)
Eligibility to participate in a company-sponsored 401(k)
Pension
Vacation benefits
Eligibility for medical, dental, vision and prescription drug benefits
Flexible benefits (for example 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 (for example employee assistance program, fitness benefits, and employee clubs and activities)

Additional desirable skills

3+ years working on business processes and systems, including experience supporting business-unit technology teams
Experience technically leading developers and engineers (directly or through influence) and managing deliverables with senior business stakeholders
Hands-on experience designing, building, or owning ETL/ELT data pipelines on a cloud platform (AWS or Azure), with working knowledge of Databricks and Apache Spark, integrating varied data sources and storage
Strong SQL and data modeling skills; working knowledge of Python for data profiling, validation, and automation
Working knowledge of database and analytics architecture, including batch, API, and event streaming integration patterns and warehouse/lakehouse concepts
Working knowledge of data quality, data governance, and master data management concepts (matching, survivorship, stewardship, lineage)
Experience applying Agile methodologies such as Scaled Agile Framework (SAFe) and DevOps practices (CI/CD, version control)
Experience working in regulated industries, pharmaceutical preferred
Experience working with Marketing and data and/or Market Research solutions
Experience with BI and data visualization tools such as Tableau or PowerBI
Working knowledge of AI/ML concepts such as LLMs, NLP/NLG, and predictive/prescriptive modeling, including applying GenAI and ML to data quality, entity matching, and stewardship use cases
Experience with MDM platforms (for example Reltio, Informatica, or Veeva Network) and HCP/HCO reference data sources
Experience with data governance, catalog, and lineage tools, and data quality frameworks
Familiarity with GxP and computer system validation in a regulated environment

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