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Role Overview As the Vice President of Data & BI Platforms within Data & Analytics (D&A;), 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 drive a data‑driven culture across the organization, partnering with all business units to uplift data stewardship, data quality, AI governance, and data risk management. This senior leadership role demands strong technical depth, systems thinking, and an outcome‑driven approach, applying AI across analytics, insights, and automation use cases aligned with Thomson Reuters' strategic objectives.

About The Role As the VP, Data & BI Platforms you will report into the Head of Data & Analytics (Chief Data Officer) and lead a global team of 40 people. Your responsibilities include:

Developing and executing the Data and BI platforms data and AI strategy, ensuring alignment with Thomson Reuters' overall business objectives.

Building data and AI systems that leverage Thomson Reuters' data and analytics foundations to generate recent intelligence, insights, and automation capabilities.

Exploring emerging technologies and evaluating their applicability to solve complex, enterprise‑wide challenges.

Providing strategic direction for end‑to‑end data workflows, including data processing, enrichment, integration, and the foundational pipelines that enable AI and analytics use cases.

Leading the development of scalable data pipelines that extract, transform, and enrich enterprise data, ensuring they are fit for purpose across both analytics and AI applications.

Implementing AI‑enabled solutions for tasks including classification, extraction, summarization, linking, reconciliation, anomaly detection, and workflow automation.

Delivering intelligent, workflow‑driven solutions that support diverse internal teams across analytics, operations, finance, and product.

Collaborating closely with research scientists to operationalize new techniques and rigorously evaluate model quality and performance.

Partnering with Data, Cloud, Product, and AI Platform teams to ensure solutions are scalable, secure, and effectively integrated.

Managing resource planning and influencing budget decisions to optimize team effectiveness and project delivery.

Representing Thomson Reuters as a thought leader in data management, governance, and AI adoption through industry forums, conferences, and publications (optional but encouraged).

Designing, implementing, operating, and evolving the TR Data Stewardship processes, tools, training, and operating models.

Establishing pragmatic, scalable data governance frameworks that build trust in data quality, reduce data risk, and deliver measurable value to customers, colleagues,



and shareholders.

Defining and embedding enterprise standards for data quality measurement, metadata management, and data lineage and provenance, operationalizing these practices at scale in partnership with the D&A; Data Management, BI, and Data Platform teams.

Driving automation of Data Stewardship and AI Governance, partnering with BI, Data Platform, and AI Platform teams to reduce manual overhead, increase consistency, and scale governance capabilities.

Leading and developing a globally distributed team through managers, conducting talent assessments, performance differentiation, and fostering an inclusive, high‑performance culture across all levels.

Influencing and aligning senior leadership and key stakeholders, translating complex data topics into compelling narratives around strategy, progress, risks, and business impact.

About You You are a great fit for this role if you:

Have demonstrated experience leading data and BI platform teams and enabling AI capabilities at scale.

Have experience building AI/ML systems and integrating them into large‑scale enterprise environments.

Are adept at working with complex and varied datasets, building AI layers on top of data products, pipelines, and semantic models.

Have experience with LLMs, agentic systems, retrieval, embeddings, and automated reasoning.

Have proven success in leading large, geographically distributed engineering teams through managers, fostering high performance and collaboration.

Exhibit strong strategic decision‑making skills, shaping AI engineering strategies and policies aligned with Thomson Reuters' broader business goals.

Champion an inclusive, high‑trust culture where diverse perspectives are encouraged, teams are empowered to contribute boldly, and a high‑performance culture drives exceptional results.

Thrive in collaborative environments, translating enterprise needs into actionable AI capabilities that deliver tangible business value.

Are motivated by building systems that produce measurable, real‑world outcomes.

Are recognized internally and externally as a thought leader, contributing to industry forums or publications (if applicable).

Have demonstrated experience in data governance, model risk management, or model governance.

Can build, evolve, and drive adoption of simple and effective processes.

Location You will work in a hybrid environment,



spending a minimum of three days a week in office and will ideally be based in one of our hub locations in New York City, Minneapolis, Dallas, Toronto, Zug, Bangalore, Hyderabad, or Mexico City.

Compensation and Benefits Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations. Eligible office location(s) for this role include one or more of the following: New York City, San Francisco, Los Angeles, and/or Irvine, CA; McLean, VA; Washington, DC. The base compensation range for the role in any of those locations is $228,000 USD – $424,000 USD. For any eligible U.S. locations, unless otherwise noted, the base compensation range for this role is $198,200 USD – $368,000 USD. Base pay is positioned within the range based on several factors including an individual’s knowledge, skills, and experience. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs. This role may also be eligible for an annual bonus based on a combination of enterprise and individual performance.

Hybrid Work Model: Flexible hybrid working environment (2‑3 days a week in the office depending on the role).

Flexibility & Work‑Life Balance: Flex My Way policies, work from anywhere up to 8 weeks per year, and supports for personal and professional responsibilities.

Career Development and Growth: Grow My Way programming and skills‑first approach to continuous learning.

Industry‑Competitive Benefits: Comprehensive benefit plans, flexible vacation, company Mental Health Days, Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.

Culture: Globally recognized reputation for inclusion and belonging, flexibility, work‑life balance, and strong values.

Social Impact: Earn two paid volunteer days per year and engage with pro‑bono consulting projects and ESG initiatives.

Real‑World Impact: Support customers in justice, truth, and transparency through trusted, unbiased information.

Equal Employment Opportunity Statement Thomson Reuters is an Equal Employment Opportunity Employer. We seek talented, qualified employees in all our operations worldwide, regardless of race, color, sex/gender, pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital or citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters makes reasonable accommodations for applicants with disabilities. We provide a drug‑free workplace and respect for all employees.

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Apply on Kit Job: kitjob.ca/job/2g9be1

📌 Vice President, Data & BI Platforms (Toronto)
🏢 Thomson Reuters
📍 Toronto