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Sedgwick

Product Owner – AI

Sedgwick

. Partner with Product Managers on backlog refinement and prioritization, sequencing work based on value, dependencies, and capacity .

Posted 9/21/2026full-timeRemote • Tennessee • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in business analysis, requirements definition, and agile methodologies, with a strong focus on translating business needs into actionable user stories and acceptance criteria. Proficient in collaborating with cross-functional teams to ensure alignment with business outcomes and tracking delivery metrics.

Highest-signal resume keywords
Business AnalysisAgile MethodologiesUser Story DevelopmentStakeholder ManagementAI/ML Product Support

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Requirements DefinitionProduct DocumentationDelivery Metrics TrackingBacklog ManagementUser Acceptance Testing
Soft Skills
Analytical SkillsProblem-Solving SkillsOrganizational SkillsVerbal CommunicationWritten Communication
Industry Keywords
ClaimsInsuranceHealthcareRegulated EnvironmentsData-Driven Initiatives

About the role

Key responsibilities & impact
  • Partner with Product Managers on backlog refinement and prioritization, sequencing work based on value, dependencies, and capacity
  • Define development-ready stories and requirements by breaking down epics and features into user stories, acceptance criteria, and high-level non-functional requirements
  • Execute delegated Product Manager responsibilities when PM capacity or capability is limited
  • Collaborate with development teams to ensure stories are understood and aligned with business outcomes
  • Participate in and support User Acceptance Testing to validate delivered functionality
  • Track and report delivery visibility, risks, dependencies, and performance insights to stakeholders
  • Partner with Data Scientists, ML Engineers, and MLOps teams to translate AI/ML capabilities into backlog items
  • Raise risks, capacity concerns, and reallocation recommendations to Product Managers
  • Support sprint ceremonies, product demos, walkthroughs, and stakeholder communications
  • Serve as a subject matter resource for solution workflows and capabilities
  • Monitor deployed AI features for performance, drift, and user feedback, surfacing retraining or tuning needs as backlog items
  • Perform other duties as assigned

Requirements

What you’ll need
  • Bachelor's degree in Business Administration, Information Systems, or a related field from an accredited college or university preferred
  • Equivalent combination of education, professional certifications, and relevant work experience will be considered
  • Five (5) years of related experience or an equivalent combination of education and experience required
  • Experience performing business analysis, requirements definition, or supporting product delivery required
  • Experience in claims, insurance, healthcare, or other regulated operational environments preferred
  • Experience working within agile or hybrid delivery teams preferred
  • Experience supporting AI, machine learning, or data-driven product initiatives preferred
  • Strong product and requirements documentation skills
  • Ability to translate business needs into detailed user stories and acceptance criteria
  • Familiarity with agile delivery practices and backlog management
  • Ability to assess scope, dependencies, and delivery complexity
  • Strong analytical, problem-solving, and organizational skills
  • Experience tracking delivery metrics and supporting OKR reporting
  • Ability to understand and communicate budget impacts and delivery trade-offs
  • Excellent verbal and written communication skills
  • Strong cross-functional collaboration and stakeholder management skills
  • Ability to meet or exceed performance competencies

Benefits

Comp & perks
  • Work-life balance
  • Reasonable accommodations when applicable and appropriate
  • Equal Opportunity Employer and Drug-Free Workplace