Manager II, Service Desk Systems & Support (Autonomous Incident Management / DexOps
Listed on 2026-08-03
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IT/Tech
Change Management, AI Business & Operations
Overview
Navy Federal Credit Union currently does not provide sponsorship for this role. Applicants must be authorized to work in the United States without the need for current or future sponsorship.
The Manager II, Service Desk Systems & Support (Autonomous Incident Management / Dex Ops) serves as a critical enabler of the organization's transition to a Tier 0 operating model by establishing and leading a structured, outcome-driven approach to incident automation. This role provides both strategic and operational leadership to develop, scale, and continuously enhance the Autonomous Incident Management function, ensuring consistent delivery, effective prioritization, and high-quality outcomes across integrated technology workflows.
Through strong cross-functional alignment across Service Desk, Engineering, Service Now, and DEX platforms, the role translates telemetry insights into prioritized, high-impact automation initiatives that drive measurable improvements in employee experience and enterprise productivity.
- Orchestrates Tier 0 (Dex Ops) transformation by establishing and scaling Autonomous Incident Management capabilities.
- Owns end-to-end function delivery, driving a structured, outcome-oriented approach across people, process, and technology.
- Creates structure, leading professionals to manage various AI agents and functions.
- Ensures execution excellence through coordinated delivery, backlog prioritization, and quality across interconnected workflows.
- Drives cross-functional alignment across Service Desk, Engineering, Service Now, and DEX to deliver high-impact automation.
- Leverages 80% of incident management data to scalable, self-healing solutions that improve employee experience and productivity through telemetry-driven insights.
- Establishes frameworks to align automation initiatives with enterprise priorities.
- Defines and tracks success metrics (e.g., autonomous resolution, productivity gains) to demonstrate measurable business value.
- Advances AI-driven operations by evolving L1 capabilities, digital personas, and knowledge integration strategies.
- Transitions the organization to a scalable, proactive model, shifting from reactive incident management to a cohesive, metric-driven approach.
- Define and execute the orchestration and vision for Autonomous Incident Management aligned to Tier 0 operating model
- Establish governance, frameworks, and execution cadence to ensure consistent delivery
- Own end-to-end function performance, including backlog, prioritization, and quality
- Stand up and mature incident automation and self-healing capabilities
- Build structured approaches across people, process, and technology
- Drive continuous improvement and scalability of automation solutions
- Cross-Functional Alignment
- Lead collaboration across Service Desk, Engineering, Service Now, and DEX teams
- Ensure seamless integration of workflows and shared accountability for outcomes
- Serve as the central point for aligning priorities and execution
- Translate DEX and service telemetry into prioritized automation use cases
- Focus teams on high-impact initiatives that reduce friction and prevent incidents
- Enable proactive detection, prevention, and resolution of issues
- Ensure coordinated delivery across interconnected workflows
- Define and manage success metrics (e.g., autonomous resolution, productivity gains)
- Tracking outcomes and communicating measurable business value to leadership
- Advance AI-driven operations through L1 evolution, digital personas, and knowledge integration
- Enable transition to self-healing, autonomous capabilities at scale
- Drive shift from reactive support to predictive and preventative operations
- Bachelor's in Information Systems, Computer Science, Engineering, or related field
- Executive-level leadership with ability to drive enterprise transformation
- Strong cross-functional influence and stakeholder alignment
- Proven leadership ability to build, develop, and lead high-performing professionals focused on delivering autonomous AI capabilities.
- Experience building and scaling new operational functions
- Strong…
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