Thomson Reuters is looking to accelerate an AI-enabled future of work by unifying fragmented employee experiences, creating and driving the adoption of new AI solutions, and delivering an exceptional end-user experience across its workforce. This involves owning and scaling workplace technologies, improving productivity and collaboration, and developing the necessary talent and operating model.
Requirements
- Proven experience deploying enterprise AI productivity tools* (Microsoft Copilot, Claude, ChatGPT Pro, or similar platforms) and measuring adoption and business impact
- Deep technical expertise with the complete Microsoft 365 suite* and informed opinions on collaboration platform strategies
- Working knowledge of AI/ML concepts* (LLMs, RAG, prompt design, model evaluation) with experience organizing knowledge bases for AI consumption
- Experience implementing endpoint agents and data collection frameworks* to track AI usage, productivity metrics, and application engagement
- Demonstrated ability to measure productivity with and without AI* and build data-driven business cases for technology investments
- Extensive experience managing large vendor ecosystems (Microsoft, Apple, Google) and platforms such as Microsoft 365/Teams, identity solutions, UEM/MDM, and security tools
- Experience deploying Microsoft 365/Teams Copilot, Google Gemini/Duet, ServiceNow Virtual Agent, and AIOps/DEX platforms
Responsibilities
- Transform fragmented employee support and technology touchpoints into a cohesive, frictionless experience across all devices, locations, and roles
- Implement DEX and AIOps telemetry for proactive incident prevention, capacity planning, and continuous improvement
- Deploy and optimize AI productivity assistants (e.g., Microsoft Copilot, Claude, ChatGPT Pro, and other enterprise AI tools across the organization
- Organize and expose internal knowledge bases to enable AI-powered search, automation, and decision support through RAG pipelines and vector search capabilities
- Automate existing processes and workflows using AI to eliminate manual effort and accelerate business outcomes
- Operate and optimize the complete Microsoft 365 suite and other core collaboration platforms
- Standardize and automate lifecycle management (Windows, macOS, Linux, iOS/Android), app packaging, and provisioning
Other
- 10–15 years of senior leadership experience heading workplace technologies in large, complex global organizations
- 10+ years leading employee productivity and experience transformations, including AI-enabled tools, automation at scale, and measurable business outcomes
- Proven success with strategic planning and execution in distributed environments; strong risk, security, and compliance orientation
- Experience leading large, geographically distributed technology organizations with responsibility for engineering, support, and platform teams
- Executive-level communication, stakeholder management, and change leadership skills; comfortable in matrixed, end-to-end delivery models
