Associate Director - Technical Product Owner, HCP Customer Master Data Platforms
lilly · United States, Indianapolis IN
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.
Come be a part of being a team that is at critical to the launch of lifesaving medicines!
The Customer Technology Innovation team is at the forefront of leveraging data and technology to launch new medicines to market, to raise awareness and to gain access to medicines for appropriate patients. With a deep technical and business understanding, working across all therapeutic areas/disease states, we design and implement digital solutions to power our business, creating world-class customer experiences that improve patient outcomes and deliver business results. Key to creating those experiences is the data we collect, analyze, and translate into insights. We’re on an exciting journey to transform our customer data foundation and ‘change the game’ for our business through innovation such as artificial intelligence- both in data and in experiences. The ideal candidate will have a passion for the customer data technology landscape and will be ready to thrive in an organization with a “start-up” mentality.
What You'll Be Doing!
As Technical Product Owner for HCP Customer Master Data Platforms, you will be responsible for leading and coordinating ideation, design & development of solutions supporting Lilly's HCP Customer Master Data with a focus on leading data onboarding and modernization, data quality & customer data transformation workstreams (including entity resolution, matching and survivorship rules, and data stewardship). You will be accountable for ensuring that our products are powering our HCP customer data strategy and embedding key technology breakthroughs such as automation & AI, while leading the charge in security-by-design, privacy-by-design, and DevOps (CI/CD, infrastructure-as-code, and automated testing). To do that, you will need to flex skills in understanding and analyzing business processes, consulting and advising on technical options, constantly researching new technologies, and effectively partnering with our software engineers and architects on best practices and how to leverage exciting new technology such as GenAI.
- Accountable for the prioritization of product backlogs / new items across Customer Master Data products in alignment with our key business owners, Lead Team, and Governance, balancing business value against technical dependencies, platform capacity, and technical debt
- Understand business requirements and effectively translate business needs and process into detailed product 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; drive technical design review and ensure all relevant technical tasks are completed end-to-end for data integrations & data products (batch, API, and event-based), including architecture, security, and privacy reviews
- Plan, analyze, configure (hands-on), and test business solutions in response to business needs, 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 on the team
- Accountable to drive digital innovation, continuous improvement, and automation, at scale, and serve as a change agent throughout the organization
- Influence external vendors (including MDM, data quality, and data platform vendors), work alongside many other internal IT teams (e.g., EI&P, other Solution Services teams and Dedicated groups) and partner with our business colleagues (e.g., Global Customer Operations, US Commercial Operations, Computer Systems Quality Assurance, Global Transparency).
- Define and enforce data quality standards, metrics, and monitoring (for example completeness, accuracy, timeliness, and match rates), 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 line 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 (for example ML-based entity matching and LLM-assisted data stewardship and enrichment) and take proven use cases into production data products
How You'll Succeed
- Be the go-to technical expert on our customer master data, data engineering, and analytics technologies, including data onboarding and data quality
- Partner with key data & analytics business partners to build transformation and technical roadmap for customer data, design solutions, and coordinate delivery of those solutions
- Anticipate and resolve key integrations / technical issues that impact our data systems
- Manage the tasks and activities involved with successful technology implementation
- Oversee and mitigate technological risks to make sure our solutions are stable and resilient
- Partner effectively with other Lilly IT teams (for example, IT Infrastructure, Telecommunication, & Enterprise Platforms) to deliver stable ongoing operations
- Define and track product and platform KPIs, such as data quality scores, pipeline reliability and SLAs, platform cost, and adoption
What You Should Bring
- Proven track record in IT project and product delivery, ideally for data platforms or data products
- Proven ability to influence complex business/technical decisions
- Ability to communicate effectively with IT teammates and present to business stakeholders
- Excellent interpersonal skills, including the ability to build networks/partnerships with a diverse group of teammates around the globe
- Effective analytical & problem-solving skills
- Strong learning agility and ability to work in ambiguity
Basic Qualifications:
- Bachelor's Degree in Computer Science, Information Technology or related technical field
- 5+ years of IT experience
- 3+ years of hands-on experience with data platforms, data integration, or master data management
Desirable Skills:
- 3+ years proven experience working on business processes and systems; 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 and of 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, including integration patterns (batch, API, event streaming) and warehouse/lakehouse concepts
- Working knowledge of data quality, data governance, and master data management concepts (matching, survivorship, stewardship, lineage)
- Experience working in Agile methodologies such as Scaled Agile Framework (SAFe) and applying DevOps practices (CI/CD, version control)
- Experience working in a regulated industry - pharmaceutical preferred
- Experience working with Marketing, data and/or Market Research solutions
- Expe