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Technical Product Manager – Lilly USA Data Analytics & AI

Eli Lilly·India·Onsite

Product ManagerAI
Experience

Not specified

Employment

Full Time

Work mode

Onsite

Level

Product Manager

Location

India

Posted

2 days ago

About the role

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.

Job Description

Technical Product Manager – Lilly USA Data Analytics & AI (DA&AI)

At Lilly, we believe in the talent of our workforce. One of the best ways to utilize and develop that talent is to use our existing workforce to fill new and/or open positions. If you are looking for a new position within Lilly, you can view and apply to open roles posted in the internal job posting system. You must meet the minimum qualifications outlined in the job description and have or obtain work authorization in the country where the position is to be considered. When applying internally, your current supervisor will receive notification that you have applied. We encourage employees to discuss the opportunity with their supervisor before applying.

Path/Level

Job Title

Technical Product Manager, Lilly USA Tech@Lilly – DA&AI

Job

What you'll do

  • The Technical Product Manager (TPM) owns the product vision, roadmap, prioritization and value realization for Lilly USA Commercial Sales data and analytics products. The role translates the needs of Sales Operations, field leadership and commercial teams into trusted, reusable data products and analytical capabilities that improve field effectiveness, customer engagement and business decision-making.
  • This individual-contributor role combines strong Commercial Sales stakeholder partnership with formal product management accountability. It moves beyond demand intake and status coordination to owning product outcomes, roadmap decisions, prioritization, adoption and measurable business value.
  • The TPM owns the Sales vertical product direction and business outcomes while partnering with platform Product Owners, Data Architects, Business Analysts, Scrum Masters, engineering, quality and compliance teams that retain accountability for their respective platform, architecture and delivery responsibilities.
  • Product vision, strategy and roadmap
  • Define and communicate a multi-quarter data-product vision and roadmap for Commercial Sales, aligned with Commercial Unit priorities and the broader Data & AI strategy.
  • Translate business problems such as field effectiveness, targeting and customer engagement into validated product opportunities, data requirements and measurable outcomes.
  • Prioritize the roadmap and backlog using business value, urgency, strategic alignment, effort, risk, compliance, capacity and dependency trade-offs; make and defend scope decisions with leadership.
  • Maintain a transparent roadmap, release outlook and product lifecycle plan, clearly communicating changes in priorities, capacity, funding or dependencies.
  • Align the Sales roadmap with reusable enterprise capabilities, platform roadmaps and relevant AI innovation initiatives before approving vertical-specific development.
  • Product discovery and data-product definition
  • Lead structured discovery with field users, Sales Operations, reporting teams to understand decisions, workflows, unmet needs and pain points before defining solutions.
  • Validate problems and proposed product concepts through interviews, workflow observation, prototypes, data analysis, usability testing and field feedback.

Skills & keywords

AIProduct ManagerOnsiteAnalyticsPlatformDataMachine Learning

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