Remote VP, AI-Enabled Enterprise Data Products

Sedgwick

United States

Remote

USD 180,000 - 280,000

Full time

14 days+

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Job summary

Sedgwick seeks a strategic VP OmniAnalyst Product Manager to lead AI-enabled enterprise data products, defining vision, roadmaps, and success metrics that translate data into trusted client insights and outcomes.

You will partner with Security, Governance, Analytics, and Engineering to deliver scalable, governed platforms and data-sharing capabilities that drive client value and operational excellence.

Qualifications

  • Bachelor’s degree in Business, Computer Science, Information Systems, Engineering, Data Science, or related field.
  • Master’s degree preferred.
  • 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.

Responsibilities

  • Define Product Vision and Strategy for enterprise AI and data products.
  • Oversee delivery across multiple teams aligning strategy, execution, architecture and client outcomes.
  • Own product portfolio KPIs and contribute to enterprise OKRs.
  • Define requirements for semantic layers, knowledge models, retrieval experiences, governance controls and user experiences.
  • Lead product strategy for enterprise data-sharing solutions for internal consumers, clients, partners, and third-party integrations.
  • Lead and develop Product Owners, Scrum Masters, and product delivery teams.

Skills

Strategic leadership
Product management
AI/ML
Data analytics
Stakeholder management
Agile methodologies
Cross-functional leadership
Communication

Education

Bachelor's degree
Master's degree

Job description

Sedgwick seeks a strategic VP OmniAnalyst Product Manager to lead AI-enabled enterprise data products, defining vision, roadmaps, and success metrics that translate data into trusted client insights and outcomes.

You will partner with Security, Governance, Analytics, and Engineering to deliver scalable, governed platforms and data-sharing capabilities that drive client value and operational excellence.

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