AI/ML Platform Product Owner

Liberty Mutual Insurance; Plano (TX); Hybrid; USD 120,000 - 170,000; Full time

Job summary

Liberty Mutual Insurance in Plano, TX, is hiring a Product Owner for the Enterprise Data & Data Science team. You’ll bridge data science, product, and engineering to shape platform capabilities that empower data scientists to build, deploy, and operate AI/ML solutions.

You’ll gather needs from stakeholders, develop roadmaps, and define features with clear acceptance criteria. The role requires strong collaboration, data-driven decision making, and a passion for AI technologies.

Qualifications

• Bachelor's or Master's degree in a technical discipline or equivalent experience.
• Minimum 5+ years of Product Owner experience.
• Knowledge of Agile development methodologies and product management practices.
• Strong analytical and problem-solving skills with data-driven decision making.
• Ability to collaborate across technical and non-technical teams.

Responsibilities

• Represent the voice of Data Scientists and platform users to shape product strategy.
• Develop and maintain prioritized product backlogs with clear features and acceptance criteria.
• Partner with Data Scientists, Engineers and Architects to translate needs into capabilities.
• Use product metrics and analytics to understand usage and opportunities for improvement.
• Communicate priorities and progress to stakeholders across the organization.
• Support evaluation and adoption of AI/ML technologies and data platforms.

Skills

Agile methods

Cross-functional collaboration

Data-informed decisions

Stakeholder communication

Education

Bachelor's or Master's degree in technical discipline

Tools

AWS

Azure

Databricks

Job description

Liberty Mutual Insurance in Plano, TX, is hiring a Product Owner for the Enterprise Data & Data Science team. You’ll bridge data science, product, and engineering to shape platform capabilities that empower data scientists to build, deploy, and operate AI/ML solutions.

You’ll gather needs from stakeholders, develop roadmaps, and define features with clear acceptance criteria. The role requires strong collaboration, data-driven decision making, and a passion for AI technologies.