Senior AI/ML Product Owner — Data-Driven Pharma Solutions

Eli Lilly and Company

Indianapolis (IN)

On-site

USD 144,000 - 231,000

Full time

2 days ago
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Benefits offered by this job

401(k)
Pension
Vacation benefits
Well-being benefits

Job summary

Lilly is seeking a highly capable AI/ML Product Owner to drive the strategy and delivery of AI/ML-powered solutions within the CMC Portfolio Analytics & Insights team. You will bridge business needs and technical execution, delivering high-impact AI/ML products that transform pharmaceutical processes.

Lead data product ownership, architect AI capabilities, and collaborate with IT to scale from MVP to enterprise-grade solutions while communicating effectively with stakeholders.

Qualifications

  • PhD with 6+ years, Master’s with 9+ or Bachelor’s with 12+ years of relevant experience.
  • 8–10+ years’ experience building production data and AI/ML architectures.
  • Proven track record of launching and scaling AI/ML-powered products from conception to adoption.
  • Strong understanding of ML algorithms, NLP, and computer vision.

Responsibilities

  • Own the CMC Operational Data Product end-to-end — definitions, data contracts, quality standards, lifecycle.
  • Define and track data-product health KPIs and report on them.
  • Design and build AI interactive layer on top of Data Hub and Power BI model.
  • Turn technical AI/data work into compelling narratives for leadership.

Skills

AI/ML architectures
Product ownership
Data governance
Cloud platforms
Stakeholder communication

Education

PhD preferred
Bachelor's degree

Tools

AWS SageMaker
Google AI Platform
Azure ML

Job description

Lilly is seeking a highly capable AI/ML Product Owner to drive the strategy and delivery of AI/ML-powered solutions within the CMC Portfolio Analytics & Insights team. You will bridge business needs and technical execution, delivering high-impact AI/ML products that transform pharmaceutical processes.

Lead data product ownership, architect AI capabilities, and collaborate with IT to scale from MVP to enterprise-grade solutions while communicating effectively with stakeholders.

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