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Thomson Reuters is seeking a Vice President of Data & BI Platforms to lead the strategic vision and implementation of enterprise data and AI capabilities. The role involves driving a data-driven culture and collaborating across various business units to enhance data stewardship, quality, and governance.
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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.
This senior leadership role demands strong technical depth, systems thinking and an outcome-driven approach, applying AI across analytics, insights and automation use cases, all aligned with Thomson Reuters' strategic objectives.
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
Match Score: 75
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Thomson Reuters is seeking a Vice President of Data & BI Platforms to lead the strategic vision and implementation of enterprise data and AI capabilities. The role involves driving a data-driven culture and collaborating across various business units to enhance data stewardship, quality, and governance.
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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 platforms data and AI strategy
Build AI/ML systems at scale
Develop scalable data pipelines
Implement AI-enabled solutions
Lead global data teams
Drive data-driven culture
Establish data governance frameworks
Nice-to-have
Thought leader in data management
Thrive in collaborative environments
Motivated by building systems
Champion inclusive, high-trust culture
Key Requirements
Demonstrated experience leading data and BI platform teams
Experience building AI/ML systems
Experience with LLMs, agentic systems, retrieval, embeddings
Proven success leading large, geographically distributed engineering teams