Thomson Reuters
Vice President, Employee Technology & AI
Thomson Reuters, Minneapolis, Minnesota, United States, 55400
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
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
1015 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, Engineering, or related technical field; MBA or advanced degree preferred
Preferred Qualifications
Experience deploying Microsoft 365 / Teams Copilot, Google Gemini / Duet, ServiceNow Virtual Agent, and AIOps / DEX platforms
Familiarity with SOC2, ISO 27001, NIST CSF, and responsible AI frameworks
Background with HR tech (Workday, SAP SuccessFactors), Finance / ERP, and frontline platforms
Demonstrated success scaling Power Platform or other low‑code programs with governance and measurable ROI
Experience with productivity analytics platforms, digital adoption tools, and employee engagement measurement systems
Location: Minneapolis, Dallas, or New York City (hybrid work model)
What's in it For You?
Hybrid Work Model : We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office‑based roles while delivering a seamless experience that is digitally and physically connected.
Flexibility & Work‑Life Balance : Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work‑life balance
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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
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
1015 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, Engineering, or related technical field; MBA or advanced degree preferred
Preferred Qualifications
Experience deploying Microsoft 365 / Teams Copilot, Google Gemini / Duet, ServiceNow Virtual Agent, and AIOps / DEX platforms
Familiarity with SOC2, ISO 27001, NIST CSF, and responsible AI frameworks
Background with HR tech (Workday, SAP SuccessFactors), Finance / ERP, and frontline platforms
Demonstrated success scaling Power Platform or other low‑code programs with governance and measurable ROI
Experience with productivity analytics platforms, digital adoption tools, and employee engagement measurement systems
Location: Minneapolis, Dallas, or New York City (hybrid work model)
What's in it For You?
Hybrid Work Model : We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office‑based roles while delivering a seamless experience that is digitally and physically connected.
Flexibility & Work‑Life Balance : Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work‑life balance
#J-18808-Ljbffr