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

Eli Lilly and Company • Us, IN

18d

About The Position

Lilly’s Customer Technology Innovation team develops digital solutions that support the launch of medicines, improve customer experiences, and help deliver better patient outcomes. The team is transforming its customer data foundation and applying innovation, including artificial intelligence, across data and customer experiences.

The Technical Product Owner for HCP Customer Master Data Platforms leads and coordinates the ideation, design, and development of solutions for Lilly’s HCP customer master data. The role focuses on data onboarding and modernization, data quality, and customer data transformation, including entity resolution, matching and survivorship rules, and data stewardship. The product owner ensures products support the HCP customer data strategy and incorporate automation and AI, while emphasizing security-by-design, privacy-by-design, and DevOps practices.

This role translates business needs and processes into technical requirements and user stories; prioritizes product backlogs; partners with engineers, architects, business owners, vendors, and internal teams; and guides solution design and delivery. It also involves hands-on planning, configuration, and testing using SQL, Python, and Databricks notebooks; defining data quality standards and platform KPIs; supporting governance and regulatory compliance; and evaluating AI/GenAI capabilities for production data products.

Requirements

• Bachelor’s degree in Computer Science, Information Technology, or a related technical field.
• At least 5 years of IT experience.
• At least 3 years of hands-on experience with data platforms, data integration, or master data management.
• 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.
• Ability to communicate effectively with IT teammates and present to business stakeholders.
• Strong interpersonal skills and ability to build partnerships with a diverse group of teammates around the globe.
• Effective analytical and problem-solving skills.
• Strong learning agility and ability to work in ambiguity.

Nice To Haves

• At least 3 years of experience working on business processes and systems, including 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 AWS or Azure; working knowledge of Databricks and Apache Spark and integrating them with 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, integration patterns (batch, API, event streaming), and warehouse/lakehouse concepts.
• Working knowledge of data quality, data governance, and master data management concepts, including matching, survivorship, stewardship, and lineage.
• Experience with Agile methodologies such as SAFe and DevOps practices such as CI/CD and version control.
• Experience in a regulated industry; pharmaceutical experience preferred.
• Experience with Marketing, data, and/or Market Research solutions.
• Experience with business intelligence or data visualization solutions 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.
• Ability to act as a change agent and take ownership of issues or opportunities until an appropriate solution is implemented.
• Experience with MDM platforms such as 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.

Responsibilities

• Prioritize product backlogs and new items across Customer Master Data products, balancing business value with technical dependencies, platform capacity, and technical debt.
• Translate business requirements and processes into detailed technical requirements and user stories, including data models, source-to-target mappings, matching rules, and acceptance criteria.
• Partner with technical subject matter experts on complex solutions, lead technical design reviews, and ensure end-to-end completion of technical tasks for batch, API, and event-based data integrations and products, including architecture, security, and privacy reviews.
• Plan, analyze, configure, and test business solutions using SQL, Python, and Databricks notebooks for data profiling, validation, and troubleshooting.
• Define and lead the future-state customer data strategy and provide technical guidance and coaching to developers and engineers.
• Drive digital innovation, continuous improvement, and automation at scale, and act as a change agent across the organization.
• Influence external MDM, data quality, and data platform vendors; collaborate with internal IT teams and business colleagues.
• Define and enforce data quality standards, metrics, and monitoring, and drive root-cause remediation with source system owners.
• Ensure data governance alignment, including lineage, cataloging, access controls, and secure handling of PII/HCP data in accordance with GDPR, CCPA, and Lilly privacy and cybersecurity standards.
• Partner with Computer Systems Quality Assurance to ensure solutions are validated and compliant with 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 advance proven use cases into production data products.
• Serve as a technical expert on customer master data, data engineering, analytics technologies, data onboarding, and data quality.
• Partner with data and analytics business partners to build customer data transformation and technical roadmaps, design solutions, and coordinate delivery.
• Anticipate and resolve integration and technical issues affecting data systems.
• Manage tasks and activities involved in successful technology implementation.
• Oversee and mitigate technological risks to support stable and resilient solutions.
• Work with Lilly IT teams, including IT Infrastructure, Telecommunication, and Enterprise Platforms, to deliver stable ongoing operations.
• Define and track product and platform KPIs, including data quality scores, pipeline reliability and SLAs, platform cost, and adoption.

Benefits

• 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, such as 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, including an employee assistance program, fitness benefits, and employee clubs and activities.
• Employee resource groups open to all employees.

What This Job Offers

• Job Type: Full-time
• Career Level: Director