Vice President, Responsible AI

Vice President of Responsible AI

Reporting to the Global Chief Data & Analytics Officer, the Vice President of Responsible AI is responsible for establishing and evolving the end-to-end firmwide Responsible AI strategy and driving and influencing the implementation of technologies, tools, and best practices to improve AI governance and ensure the creation of safe and secure AI capabilities. Critically, this leader will accelerate Thomson Reuters' Responsible AI program, developing guidelines and implementing technologies that ensure AI systems are transparent, fair, and minimize bias, while prioritizing data privacy and security.

Partnering closely with all business units across TR, the VP Responsible AI will assess business needs and provide thought-leadership and tactical guidance to improve AI stewardship, model development, safety and security. This leader will deliver industry best practices at scale, creating and implementing automated risk assessments, AI inventory management, continuous monitoring, and importantly embedding Responsible AI directly into the AI model life cycle. The VP Responsible AI will ensure standards and best practices are implemented and adhered to across business functions, product teams, and business segments, while observing regulations and contractual requirements about how AI can be used across the company, including emerging regulations like the EU AI Act.

A strong customer orientation will be critical to ensure that teams are able to drive more effective business decisions and better serve end users from more accessible high-quality AI-enabled use cases, ultimately accelerating the delivery of AI at Thomson Reuters. This leader will also need to be an agent of change to build new AI disciplines and drive adoption of AI principles through influence, communication, and education. Critically, the VP Responsible AI will need to be a builder, not only transforming data & AI capabilities, but also building a high-performing team capable of rapidly executing data & AI transformation at scale.

This role will lead a 30-person team and can be based in New York, NY; Minneapolis, MN; Dallas, TX; Toronto, Canada or Zug, Switzerland.

Key Responsibilities

• Work collaboratively with all parts of TR to enable a data-driven culture and create trust in TR's data and AI assets.
• Establish the AI Responsible AI and Governance operating model (e.g., policies, standards) and enforce AI best practices while creating a frictionless experience for TR's workforce and external customers.
• Oversee and develop appropriate governance structures for firmwide AI practices, technically and functionally.
• Maintain central repository of AI use cases across TR.
• Embed Responsible AI capabilities directly into model development, MLOps, SDLC, and related AI development practices to ensure a consistent and automated approach to creating safe, secure, and unbiased AI.
• Provide thought leadership, stewardship, and support for data product and AI use case owners across the enterprise.
• Own the Responsible AI strategy including the roll out of frameworks, tools, and technologies that integrate with TR's broader technology stack and strategy, in support of approach to accelerating AI development and delivery for both internal use cases and customer-facing products.
• Create and automate a single unified Responsible AI program inclusive of a consistent ethical framework for use of data, Machine Learning, and AI (partnering with Legal, Risk, TR Labs, and AI platform team).
• Drive engagement and accountability across business data owners and stewards.
• Work in partnership with Risk, Privacy, Sourcing and ISRM to mature data & AI privacy, consent and risk management practices
• Prevent data & AI misuse and loss through classification and access controls as well as enforce compliance of data & AI governance, regulations, and frameworks.
• Manage data security, incident management, and continuous performance improvements – root-cause analysis, impact assessment, remediation, and operational health.
• Drive benefit definition and tracking, meeting Financial Plan targets and creating productivity improvements.
• Articulate broader business concerns and/or regulatory landscape, including key risks and controls (e.g., GDPR, EU AI Act, MIFID, SOX).
• Become a proactive trusted advisor to the Business – develop relationships with key Business and IT matrix partners.
• Serve as coach and mentor, identifying, developing, nurturing, and retaining the next generation of data & AI leaders at TR.
• Ensure D&A is a diverse and inclusive organization.