Remote Enterprise AI Data Product Leader

Sedgwick

Cheyenne (WY)

Remote

USD 180.000 - 250.000

Vollzeit

Vor 13 Tagen

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Zusammenfassung

Sedgwick is seeking a VP OmniAnalyst Product Manager– AI Enabled Enterprise Data Products to define and execute the product strategy, roadmap, and business outcomes for its enterprise AI-enabled data product portfolio.

The role leads a portfolio of strategic data products and collaborates with data engineering, architecture, governance, and business leaders to deliver secure, scalable, and measurable capabilities.

Qualifikationen

  • 10+ years of progressive experience in Product Management, Data Products, Analytics Platforms, AI Products, or Enterprise Technology.
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  • job_responsibilities_description

Aufgaben

  • Define and own the multi-year vision, strategy, roadmap, business model, and investment priorities for enterprise AI and data products.
  • Oversee delivery across multiple teams, ensuring alignment between product strategy, technical execution, architectural direction, and client outcomes.
  • Own product portfolio KPIs and contributions to enterprise OKRs, including quality, efficiency, sustainability, and value delivery.
  • Drive AI-powered analytical experiences and data sharing capabilities that enable trusted insights and decision-making.
  • Lead Product Owners and teams, coaching on customer-centric development and Agile practices.

Kenntnisse

Strategic leadership
Customer focus
AI products
Agile methodologies
Data product thinking

Ausbildung

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

Tools

Agile tools

Jobbeschreibung

Sedgwick is seeking a VP OmniAnalyst Product Manager– AI Enabled Enterprise Data Products to define and execute the product strategy, roadmap, and business outcomes for its enterprise AI-enabled data product portfolio.

The role leads a portfolio of strategic data products and collaborates with data engineering, architecture, governance, and business leaders to deliver secure, scalable, and measurable capabilities.

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