Vice President, Data & Bi Platforms

Thomsonreuters

New York City, NY, US
Base: $228,000 usd - $424,000 usd; bonus/equity: a...
Hybrid
Lead data and bi platform teams
Build ai/ml systems at scale
Leverage data foundations for intelligence
You will lead the strategic vision, design and implementation of enterprise data and AI capabilities that transform how Thomson Reuters manages, governs and derives value from its data assets

Job Summary

  • You will lead the strategic vision, design and implementation of enterprise data and AI capabilities that transform how Thomson Reuters manages, governs and derives value from its data assets.
  • You will lead and develop a globally distributed team through managers, driving talent assessments, performance differentiation and fostering an inclusive, high-performance culture across all levels.
  • We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.

Matching Summary

You will lead the strategic vision, design and implementation of enterprise data and AI capabilities that transform how Thomson Reuters manages, governs and derives value from its data assets.

Salary

Base: $228,000 USD - $424,000 USD; Bonus/Equity: Annual Bonus based on performance; Benefits: Comprehensive benefits package

Skills & Requirements

Must-have

  • Lead data and BI platform teams
  • Build AI/ML systems at scale
  • Leverage data foundations for intelligence
  • Develop scalable data pipelines
  • Implement AI-enabled solutions
  • Establish data governance frameworks
  • Lead global distributed teams

Nice-to-have

  • Thought leader in data management
  • Represent Thomson Reuters externally
  • Thrive in collaborative environments
  • Champion inclusive culture
  • Motivated by measurable outcomes

Key Requirements

  • Experience leading data and BI platform teams
  • Experience building AI/ML systems
  • Experience with LLMs, agentic systems
  • Experience in data governance
  • Experience leading large, distributed engineering teams

Work Rights

Not specified

Tailored Resume

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