AI/ML Product Owner - CMC Analytics Leader

BioSpace

Indianapolis (IN)

On-site

USD 144,000 - 231,000

Full time

2 days ago
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Benefits offered by this job

Company bonus
401(k) plan
Health benefits
Vacation benefits
Flexible benefits

Job summary

Lilly is seeking a highly motivated AI/ML Product Owner to lead the CMC Portfolio Analytics & Insights team. You will shape product strategy, oversee roadmaps, and deliver AI/ML-driven solutions to accelerate drug discovery and development.

Bridge business needs with technical execution while partnering with IT to scale enterprise-grade data hubs and analytics. You will communicate complex technical concepts to senior leadership and drive governance, quality, and adoption across teams, ensuring

Qualifications

  • PhD with 6+ years, Master's with 9+ years or Bachelor's with 12+ years in a quantitative field.
  • 8-10+ years' experience building production data and AI/ML architectures.
  • Proven track record launching and scaling AI/ML powered products.

Responsibilities

  • Own data product strategy, roadmap, and delivery end-to-end.
  • Design AI/ML architecture and drive governance and data standards.
  • Bridge business needs with technical execution and stakeholder storytelling.
  • Collaborate with IT and Data Engineering to scale solutions.

Skills

Leadership
Communication
Analytical thinking
Problem solving
Strategic thinking

Education

PhD or Master’s preferred
Bachelor’s degree in CS/Engineering/Data Science/Bioinformatics

Tools

AWS SageMaker
Google AI Platform
Azure ML
Power BI

Job description

Lilly is seeking a highly motivated AI/ML Product Owner to lead the CMC Portfolio Analytics & Insights team. You will shape product strategy, oversee roadmaps, and deliver AI/ML-driven solutions to accelerate drug discovery and development.

Bridge business needs with technical execution while partnering with IT to scale enterprise-grade data hubs and analytics. You will communicate complex technical concepts to senior leadership and drive governance, quality, and adoption across teams, ensuring

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