AI Platform Product Owner - Data Science (Hybrid)

Liberty Mutual Insurance

Portsmouth (NH)

Hybrid

USD 120,000 - 150,000

Full time

33 hours ago
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Job summary

Liberty Mutual is seeking a Product Owner for Enterprise Data & Data Science to shape platform capabilities for Data Scientists across the company. You’ll translate user needs into backlog items, define strategy and priorities, and measure adoption with product analytics.

Join a hybrid team based in Portsmouth, NH with options for remote work on focused tasks; collaborate with engineers, architects, and data scientists to accelerate AI/ML deployment and improve the model lifecycle experience.

Qualifications

  • Bachelor's or Master's degree in technical discipline or equivalent experience.
  • Minimum 5+ years of Product Owner experience.
  • Knowledge of Agile development methodologies and product management practices.
  • Experience working with technology teams, with level determined based on relevant experience.
  • Strong analytical and problem-solving skills, including the ability to use data and customer insights to identify opportunities and inform decisions.
  • Ability to build strong working relationships and collaborate across technical and non-technical teams.
  • Strong written and verbal communication skills, including the ability to communicate technical concepts to varied audiences.
  • Curiosity and an experimental mindset, with a demonstrated willingness to learn new technologies and approaches.
  • Interest in data science, machine learning, AI, data platforms, or developer/platform experiences.
  • Experience working with data, analytics, data science, software engineering, or technology platforms is preferred.
  • Familiarity with modern data and AI technologies such as AWS, Azure, Databricks, or similar platforms is a plus.

Responsibilities

  • Represent the voice of Data Scientists and other platform users, developing a strong understanding of their workflows, needs, and pain points.
  • Help shape product strategy and roadmaps by bringing together customer insights, product analytics, technology considerations, and organizational priorities.
  • Develop and use product metrics and analytics to understand platform usage, adoption, customer experience, and opportunities for improvement.
  • Partners with Data Scientists, Engineers, Architects, and other stakeholders to translate customer needs and product priorities into actionable capabilities and improvements.
  • Gather customer feedback and use data, product metrics, and user insights to inform prioritization and product decisions.
  • Support the evaluation and adoption of technologies and capabilities that improve the data science development and model lifecycle experience.
  • Help identify opportunities to simplify workflows, improve user experience, and increase adoption of reusable platform capabilities and best practices.
  • Develop and maintain prioritized product backlogs, including clear features, user stories, and acceptance criteria, in partnership with aligned delivery teams.
  • Participate in quarterly planning, demos, retrospectives, and other Agile ceremonies to support effective execution and delivery.
  • Communicate priorities, progress, decisions, and outcomes to stakeholders across the organization.

Skills

Product ownership
Agile methodologies
Data-driven decisions
Stakeholder collaboration
Strong communication
Analytical skills
Curiosity / learning mindset
AI / data science interest

Education

Bachelor's/Master's in technical discipline

Tools

AWS
Azure
Databricks

Job description

Liberty Mutual is seeking a Product Owner for Enterprise Data & Data Science to shape platform capabilities for Data Scientists across the company. You’ll translate user needs into backlog items, define strategy and priorities, and measure adoption with product analytics.

Join a hybrid team based in Portsmouth, NH with options for remote work on focused tasks; collaborate with engineers, architects, and data scientists to accelerate AI/ML deployment and improve the model lifecycle experience.

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