Vice President, Employee Technology & AI

Vice President, Employee Technology & AI

The Vice President, Employee Technology & AI is responsible for the strategy, development, and ongoing support of global workplace technologies used by employees, contingent workers, and partners. This leader will accelerate an AI-enabled future of work - owning the platforms, services, and experiences that improve productivity and collaboration, while developing the talent and operating model needed for scale and resilience. Leading a substantial global organization, this role will unify fragmented employee experiences, create and drive the adoption of new AI solutions, and deliver an exceptional end-user experience across Thomson Reuters' workforce. Scope includes engineering, support, lifecycle management of collaboration applications and systems, endpoint platforms, experience management, AI agent and solution development and management, and strategic vendor partnerships.

About the Role

As Vice President, Employee Technology & AI, you will :

• Unify and Elevate the End-to-End Employee Experience
• Transform fragmented employee support and technology touchpoints into a cohesive, frictionless experience across all devices, locations, and roles
• Obsess over the employee journey-from how people get help when systems go down to how they discover and use productivity tools
• Deliver an exceptional desktop experience that balances performance, security, and user satisfaction
• Implement DEX and AIOps telemetry for proactive incident prevention, capacity planning, and continuous improvement
• Evolve from SLA to XLA (experience-level agreements) with transparent experience scorecards and journey-based KPIs
• Partner with service desk operations to drive first-contact resolution, ticket deflection, and support excellence
• Drive Enterprise-Scale AI Adoption with Measurable Outcomes
• 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
• Track AI usage and productivity gains through endpoint agents and data collection frameworks
• Measure and report on application engagement, productivity improvements with and without AI, engagement time, and workflow efficiency
• Drive measurable outcomes such as cycle-time reduction, ticket deflection, first-contact resolution, and employee NPS / DEX improvements
• Build business cases that demonstrate clear ROI from AI investments
• Establish AI Governance and Platform Capabilities
• Partner with HR, Legal, Cybersecurity, Data & Analytics, and Risk & Compliance to define acceptable use, data protection, model and vendor evaluation, and responsible AI practices
• Implement observability and auditability frameworks for AI usage, prompts, and outcomes
• Establish guardrails that enable innovation while managing risk and ensuring compliance
• Deliver Modern Collaboration and Productivity Platforms
• Operate and optimize the complete Microsoft 365 suite and other core collaboration platforms
• Ensure platform interoperability, security, adoption, and continuous improvement based on user feedback
• Expand low-code / no-code and Power Platform governance for citizen development with clear guardrails and value tracking
• Manage strategic vendor relationships to optimize value and total cost of ownership
• Own End-to-End Device, Identity, and Collaboration Ecosystems
• Deliver an exceptional experience across workstations, mobile devices, and virtual desktop infrastructure (VDI / DaaS)
• Standardize and automate lifecycle management (Windows, macOS, Linux, iOS / Android), app packaging, and provisioning
• Scale self-healing endpoints, zero-touch provisioning, intelligent routing / swarming, and virtual agents
• Implement endpoint agents for AI usage tracking, productivity analytics, and proactive support
• Ensure robust endpoint and identity security through modern practices, including EDR / XDR, MDM / UEM, patching, MFA / SSO, and conditional access
• Build the Workforce of the Future
• Partner with HR, Learning & Development, and Communications to create AI fluency programs, role-based enablement, and communities of practice
• Define skills frameworks and career paths for AI, automation, product, and platform engineering roles; upskill both ETS teams and business users
• Foster an inclusive, growth-mindset culture that embraces experimentation with clear guardrails and ROI accountability
• Inspire and grow a global team of professionals across engineering, support, product, and platform functions
• Strengthen Stakeholder Alignment and Value Realization
• Collaborate with HR, Workday teams, AI research groups, and business units to align technology investments with organizational priorities
• Establish an engagement and governance model with operational and strategic performance measures for business and technology stakeholders
• Translate business outcomes into product roadmaps and OKRs; maintain transparent intake and prioritization processes
• Manage budgets and strategic vendor partnerships to optimize value and drive innovation

About You

10-15 years of senior leadership experience heading workplace technologies in large, complex global organizations

Strong engineering and technical background

10+ years leading employee productivity and experience transformations, including AI-enabled tools, automation at scale, and measurable business outcomes

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

Proven success with strategic planning and execution in distributed environments; strong risk, security, and compliance orientation

Extensive experience managing large vendor ecosystems (Microsoft, Apple, Google) and platforms such as Microsoft 365 / Teams, identity solutions, UEM / MDM, and security tools

Experience leading large, geographically distributed technology organizations with responsibility for engineering, support, and platform teams

Expertise in desktop experience delivery, service delivery, and support operations, including service desk management

Executive-level communication, stakeholder management, and change leadership skills; comfortable in matrixed, end-to-end delivery models

Track record of building inclusive, high-performing, product-oriented teams; inspires innovation, responsible risk-taking, and continuous improvement

Bachelor's degree in Computer Science