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Sedgwick

Director, Product Management – AI

Sedgwick

Director of Product Management driving strategy for AI-enabled data products at Sedgwick. Overseeing product delivery for enterprise analytics and decision support solutions.

Posted 7/28/2026full-timeRemote • Idaho, Louisiana, New York, Texas • 🇺🇸 United StatesLeadWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in defining and executing product strategy and roadmaps for AI-enabled data products, with a strong focus on delivering measurable business outcomes and fostering collaboration across cross-functional teams.

Highest-signal resume keywords
Product ManagementAI ProductsData AnalyticsAgile MethodologiesLeadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Product StrategyData ProductsAnalytics PlatformsAI/MLConversational AISemantic ModelingSelf-Service AnalyticsBusiness Case DevelopmentRoadmap DefinitionEnterprise Technology
Soft Skills
Relationship BuildingCollaborationCommunicationStakeholder ManagementTeam Leadership
Certifications & Qualifications
Bachelor's Degree
Industry Keywords
Enterprise DataCross-Functional TeamsTechnical ExecutionClient OutcomesGovernance

About the role

Key responsibilities & impact
  • Defining and executing the product strategy, roadmap, and business outcomes for Sedgwick’s enterprise AI-enabled data product portfolio
  • Overseeing delivery across multiple teams, ensuring alignment between product strategy, technical execution, architectural direction, and client outcomes
  • Driving AI-powered analytical experiences that allow users to interact with enterprise data through natural language and conversational interfaces
  • Building strong relationships with business leaders, claims operations, finance, client services, technology leaders, and external stakeholders

Requirements

What you’ll need
  • Bachelor's degree in Business, Computer Science, Information Systems, Engineering, Data Science, or related field required
  • 10+ years of progressive experience in Product Management, Data Products, Analytics Platforms, AI Products, or Enterprise Technology
  • 5+ years leading Product Managers or Product Owners and managing product portfolios
  • Experience owning enterprise-scale data, analytics, AI, platform, reporting, self-service analytics, semantic modeling, AI/ML, or conversational AI products
  • Experience defining product strategy, roadmaps, business cases, and measurable outcomes for data-driven products
  • Experience working in Agile or scaled Agile environments and leading cross-functional teams across Architecture, Data Engineering, Analytics, Security, Governance, and Business stakeholders.

Benefits

Comp & perks
  • Work-life balance
  • Professional development opportunities