[Remote] Vice President, Intelligent Automation & IT Operations

Note: The job is a remote job and is open to candidates in USA. V2X Inc is a global company focused on integrating physical and digital infrastructure, and they are seeking a Vice President of Intelligent Automation & IT Operations. This role is responsible for designing and operating an AI-first IT environment, leading the transition from legacy processes to AI-driven operations, and governing the organization's AI strategies and infrastructure.

Responsibilities

• Define and own the organization’s AI-First IT strategy, establishing deliberate reinvention programs, milestones, and success metrics aligned to the Gartner AI-First IT framework
• Lead the greenfield IT build: architect the clean, modern, automated operational environment in parallel with the brownfield, then orchestrate deliberate workload migration and legacy SaaS sunset
• Establish the application rationalization workstream with defined criteria, triggers, and timelines for decommissioning legacy SaaS applications as AI-native replacements mature
• Serve as the executive sponsor for the enterprise AI Fabric and Data Fabric integration, ensuring IT infrastructure is purpose-built to support AI model serving, agentic workloads, and intelligent data pipelines
• Maintain a forward-looking technology radar informed by Gartner research, industry analyst insights, and emerging AI-native vendor ecosystems to continuously evolve the IT strategy
• Establish and own the enterprise AI agent governance framework: define authorization models, human-in-the-loop thresholds, audit trails, and escalation paths for AI agents operating within IT systems
• Define the roles and responsibilities of AI agents as stakeholders within IT operations — including agent identity management, permission scoping, and behavioral monitoring
• Lead the organization’s transition to a blended human-AI workforce model, including workforce planning, role redefinition, change management, and AI literacy programs for IT staff
• Partner with HR, Legal, and the CISO to develop policies governing AI agent use, data access, and decision authority within the IT operational environment
• Champion a culture of automation-first and AI-augmented decision-making across all IT functions, ensuring staff are equipped and motivated to work alongside intelligent systems
• Oversee the design and operation of the AIOps platform, ensuring AI-driven incident detection, automated triage, closed-loop remediation, and predictive operations across all IT domains
• Drive the evolution from script-based automation to agentic operations — where AI agents autonomously execute multi-step operational workflows with appropriate human oversight
• Establish KPIs for intelligent operations including MTTR reduction, automation coverage, agent action accuracy, and operational toil elimination
• Own the integration architecture connecting AIOps, ITSM, observability, and the AI Fabric — ensuring all IT operational data flows into the intelligence layer that powers continuous improvement
• Govern the CI/CD and Infrastructure-as-Code practices across all teams, ensuring automation quality, security, and auditability
• Evaluate and manage an increasingly diverse ecosystem of AI-native vendors, distinguishing between proven enterprise solutions and emerging AI-native alternatives across all IT domains
• Negotiate new consumption models — outcome-based, usage-based, and agent-consumption pricing — as AI-native vendors displace traditional licensing structures
• Own AI infrastructure cost governance: GPU and inference compute cost modeling, AI ROI measurement, and FinOps practices for AI workloads including automated rightsizing and spend alerting
• Build the business case for IT investment in AI Fabric capabilities, translating AI operational metrics into executive-level narratives on capacity expansion, risk reduction, and competitive positioning
• Maintain strategic vendor relationships with SASE, UEM, AIOps, and AI platform providers, ensuring the organization benefits from AI-native product roadmaps
• Ensure all IT systems, automation frameworks, and AI agents operate in compliance with CMMC Level 2, NIST 800-171, and applicable federal regulations
• Partner with the CISO to extend the Zero Trust architecture to AI agents and automated workloads — ensuring machine identity, least-privilege access, and continuous verification apply to non-human actors
• Oversee AI risk management: adversarial prompt injection defense, model drift monitoring, AI-generated threat detection, and governance of AI tools used within the IT environment
• Provide board- and executive-level reporting on IT operational health, AI adoption maturity, compliance posture, and strategic roadmap progress
• Ensure audit readiness across all IT domains, with AI-augmented continuous monitoring reducing the manual burden of compliance evidence collection
• Build, lead, and develop a high-performing team spanning network, endpoint, automation, and AI platform engineering disciplines
• Foster a psychologically safe, learning-oriented culture where experimentation with AI tools is encouraged and failure is treated as a data point
• Define career ladders and growth paths that account for the evolving human-AI blended workforce model, including AI-augmented roles that will emerge as automation matures
• Recruit and retain top technical talent by creating an environment where engineers work on genuinely novel AI-first infrastructure problems
• Represent IT Intelligent Automation and Operations in cross-functional leadership forums, translating technical strategy into business value for non-technical executives

Skills

• Bachelor's degree in Information Technology, Computer Science, Engineering, or related field required
• A minimum of twenty (20) years of progressive experience in IT operations, infrastructure, or engineering
• A minimum of seven (7) years in a senior leadership role with direct management of technical teams and budgets
• Demonstrated experience leading a greenfield or large-scale IT transformation program
• Proven track record of implementing AIOps, intelligent automation, or AI-driven operational platforms at enterprise scale
• Experience establishing AI agent governance frameworks or human-AI workforce models strongly preferred
• Hands-on familiarity with Infrastructure-as-Code, cloud platforms (AWS, Azure, GCP), and Zero Trust architecture
• Experience in the government contractor/services industry required
• Experience with obtaining and maintaining an organizational CMMC Level 2 certification required
• Experience with FedRAMP-authorized cloud and AI platform environments
• Ability to travel to project and customer locations
• U.S. Citizenship required
• Ability to obtain and maintain a security clearance
• Master's degree in a technical or business discipline strongly preferred
• ITIL, PMP, or equivalent program/portfolio management certification preferred
• Familiarity with Gartner IT research and AI-First IT frameworks preferred
• Active Secret security clearance desired
• Demonstrated experience with FinOps for AI infrastructure, including GPU cost modeling and inference spend optimization
• Prior experience operating in a DoD or federal contractor environment

Benefits

• Healthcare coverage
• Life insurance, AD&D, and disability benefits
• Retirement plan
• Wellness programs
• Paid time off, including holidays
• Learning and Development resources
• Employee assistance resources

Company Overview