Vp, Enterprise Data Enablement

Travelers

Base: $238,500.00 - $375,600.00; bonus: performanc...
Remote/hybrid (specific work mode not specified in the job description)
Ai-ready data strategy development
Data governance as a service frameworks
Cloud-based data platform architecture
Travelers is seeking a VP of Enterprise Data Enablement to lead their strategy for AI-ready enterprise data, ensuring trust, governance, and optimization for advanced analytics. The ideal candidate will possess extensive experience in data management and governance, coupled with strong leadership skills to drive organizational change and cultivate a collaborative culture

Job Summary

  • This role drives the enterprise strategy to ensure Travelers' data is trusted, governed, and optimized for advanced analytics and machine learning.
  • The successful candidate will lead a high-impact team dedicated to data management, integrations, platform evolution, and external data enablement.
  • Employees are eligible for comprehensive benefits including health insurance, a 100% funded pension plan, and a matching 401(k) contribution up to 5%.

Matching Summary

Match Score: 85

Travelers is seeking a VP of Enterprise Data Enablement to lead their strategy for AI-ready enterprise data, ensuring trust, governance, and optimization for advanced analytics. The ideal candidate will possess extensive experience in data management and governance, coupled with strong leadership skills to drive organizational change and cultivate a collaborative culture.

Salary

Base: $238,500.00 - $375,600.00; Bonus: Performance-based cash incentive awards; Benefits: Health insurance, 100% funded pension, 401(k) match, PTO

Skills & Requirements

Must-have

  • AI-ready data strategy development
  • Data governance as a service frameworks
  • Cloud-based data platform architecture
  • Scalable data pipeline design
  • External data asset operationalization

Nice-to-have

  • Insurance or financial services experience
  • Cross-functional partnership building
  • Cultural transformation leadership
  • Data literacy culture fostering
  • Executive communication skills

Key Requirements

  • Master's degree in Data Science, Computer Science, or related field
  • Minimum 15 years in enterprise data management or architecture
  • At least 7 years in senior leadership roles
  • 7+ years designing AI/ML-ready platforms in regulated environments
  • Proven ability to lead large-scale change management initiatives

Work Rights

Not specified

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