Artificial Intelligence

• 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

Vice President, Employee Technology – AI

Senior Engineer, AI & ML

Senior AI Analyst

Head of AI Strategy – Portfolio

Cloud and AI Strategic Negotiator

AI Artist – Freelance to Permanent