Senior Data & AI Product Leader – Analytics & Strategy

Icann

Los Angeles (CA)

On-site

USD 148,000 - 198,000

Full time

7 days ago
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Job summary

ICANN is seeking a Group Product Manager for Data, Analytics & AI in Los Angeles to define vision, strategy, and lifecycle for enterprise data capabilities. You will partner across EA, Applications, Software Engineering, Security and AI teams to deliver trusted data products, dashboards, and AI-enabled services.

This leadership role emphasizes governance, interoperability, and measurable business value, with strong collaboration and analytics adoption across the organization.

Qualifications

  • 10+ years in product management for enterprise data/analytics.
  • 5+ years leading cross-functional product teams.
  • Experience delivering enterprise-scale data, analytics, AI, or reporting capabilities.
  • MBA or advanced degree preferred.

Responsibilities

  • Define strategy and roadmaps for data, analytics, AI, reporting, and integrations.
  • Own portfolio of enterprise data products and BI services.
  • Drive self-service reporting adoption and actionable insights.
  • Partner with Enterprise Architecture, Security, and Engineering teams.
  • Ensure data governance, quality, and privacy across products.

Skills

Enterprise data
Analytics & BI
AI product management
Stakeholder management
Roadmap planning
Product leadership
Cross-functional collaboration
Governance & compliance

Education

Bachelor's degree in CS/IT/Data/Engineering/Business
MBA or advanced degree preferred

Tools

Power BI
Tableau
Microsoft Fabric
APIs

Job description

ICANN is seeking a Group Product Manager for Data, Analytics & AI in Los Angeles to define vision, strategy, and lifecycle for enterprise data capabilities. You will partner across EA, Applications, Software Engineering, Security and AI teams to deliver trusted data products, dashboards, and AI-enabled services.

This leadership role emphasizes governance, interoperability, and measurable business value, with strong collaboration and analytics adoption across the organization.

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