Product Owner I, Data Platform & AI (Remote)

Liberty Mutual Fire Insurance Co.; Columbus (OH); Hybrid; USD 94,000 - 174,000; Full time

Job summary

Liberty Mutual Fire Insurance Co. is seeking a Product Owner I to drive product strategy for the Enterprise Data & Data Science platform. You will collaborate with data scientists, engineers, and architects to define roadmaps, measurable outcomes, and backlog priorities.

You will shape analytics, validate usage, and guide adoption of reusable capabilities that accelerate AI/ML development and deployment. This hybrid role supports cross-functional teams and stakeholder alignment.

Qualifications

• Bachelor's or Master's degree in a technical discipline or equivalent experience.
• 5+ years of Product Owner experience.
• Knowledge of Agile development methodologies and product management practices.
• Strong analytical and problem-solving skills with data-driven decisions.
• Excellent written and verbal communication across technical and non-technical audiences.

Responsibilities

• Act as voice of Data Scientists and platform users by understanding workflows, needs, and pain points.
• Shape product strategy and roadmaps by combining customer insights, analytics, and priorities.
• Create and apply product metrics to evaluate platform usage and adoption.
• Translate needs into actionable capabilities with engineers, architects, and stakeholders.
• Collect feedback and use data and user insights to guide prioritization and decisions.
• Support evaluation and adoption of technologies that improve data science lifecycle.

Skills

Product Ownership

Agile methodologies

Analytical thinking

Communication

Collaboration

Curiosity

Data/AI interest

Education

Bachelor's or Master's in technical field

Tools

AWS

Azure

Databricks

Job description

Liberty Mutual Fire Insurance Co. is seeking a Product Owner I to drive product strategy for the Enterprise Data & Data Science platform. You will collaborate with data scientists, engineers, and architects to define roadmaps, measurable outcomes, and backlog priorities.

You will shape analytics, validate usage, and guide adoption of reusable capabilities that accelerate AI/ML development and deployment. This hybrid role supports cross-functional teams and stakeholder alignment.