Director, End-user Experience

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This position is 100% remote anywhere in the USFull-TimeDirector
Salary not disclosed
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Job Details

Experience
10+ years of experience in IT / end-user support, or in enterprise service delivery; 5+ years leading global, distributed support teams
Required Skills
Generative AI

Requirements

  • Bachelor’s degree in Information Systems or Computer Science.
  • 10+ years of experience in IT / end-user support, or in enterprise service delivery.
  • 5+ years leading global, distributed support teams.
  • Proven track record deploying AI, automation, or virtual agents in a support environment.
  • Hands-on expertise with IT service management frameworks and ticketing systems (e.g., Jira Service Management).
  • Expertise in end-user computing, workplace technology, identity, and device lifecycle management.
  • Proficiency in applying generative AI tools (e.g., Microsoft Copilot, ChatGPT) in day-to-day workflows.
  • Proven track record scaling conversational AI (e.g., Atlassian Rovo) in production support environments.
  • Experience designing agentic automation and self-healing systems.
  • Ability to apply AI-driven analytics, predictive insights, and sentiment analysis.
  • Strong command of responsible-AI principles including data privacy and human-in-the-loop design.

Responsibilities

  • Own the operational delivery of AI-first end-user support services across all regions and time zones.
  • Lead global service desk and field support teams.
  • Manage daily operations for incidents, service requests, and problem management, incorporating AI triage, routing, and resolution.
  • Deploy and continuously tune virtual agents and conversational AI to maximize employee self-help.
  • Lead major incident response for employee-impacting issues.
  • Drive root cause analysis and automated corrective actions, including self-healing scripts.
  • Oversee support for end-user devices, peripherals, and identity/access workflows.
  • Maintain ticketing, knowledge, and self-service tools with AI-generated content.
  • Track and report performance against service and AI-specific KPIs.
  • Lead, coach, and develop regional managers and support leaders through a workforce transition toward AI-augmented work.
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