Remote VP, AI-Driven Data Product Leader

Sedgwick

Philadelphia (Philadelphia County)

À distance

USD 150 000 - 210 000

Plein temps

Il y a 7 jours
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Résumé du poste

Sedgwick is seeking a VP OmniAnalyst Product Manager for AI-enabled enterprise data products. You will define strategy, roadmaps, and business outcomes across a portfolio of AI and data platforms, collaborating with data engineering, security, governance and executive leadership to deliver secure, scalable capabilities.

You will lead Product Managers and Product Owners, drive adoption of semantic models, data sharing, and analytics, and ensure governance and responsible AI practices while

Qualifications

  • 10+ years of progressive experience in Product Management, Data Products or Analytics Platforms.
  • 5+ years leading Product Managers or Product Owners and managing portfolios.
  • Experience owning enterprise-scale data, analytics, AI, platform, reporting and self-service analytics products.
  • Experience defining product strategy, roadmaps, business cases, and measurable outcomes.

Responsabilités

  • Define and own the multi-year vision, strategy, roadmap and investment priorities for enterprise AI and data products.
  • Oversee delivery across multiple teams, ensuring alignment between strategy, execution and client outcomes.
  • Own product portfolio KPIs and contribute to enterprise OKRs, including quality, efficiency and value delivery.
  • Drive AI analytics capabilities and data-sharing features with governance and security in mind.
  • Lead and develop product delivery teams and establish best practices across AI, data and analytics.

Connaissances

Agile methodologies
Portfolio management
Data as a product
Executive communication

Formation

Bachelor’s degree in relevant field
Master’s degree preferred

Description du poste

Sedgwick is seeking a VP OmniAnalyst Product Manager for AI-enabled enterprise data products. You will define strategy, roadmaps, and business outcomes across a portfolio of AI and data platforms, collaborating with data engineering, security, governance and executive leadership to deliver secure, scalable capabilities.

You will lead Product Managers and Product Owners, drive adoption of semantic models, data sharing, and analytics, and ensure governance and responsible AI practices while

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