Position : IT Operations Director Data Center & AI Infrastructure
Duration : 6 months to hire
Location : Kansas City, MO
Position Overview : The IT Operations Director is responsible for leading, managing, and evolving the organizations data center ecosystem, ensuring high availability, security, scalability, and operational excellence across traditional and AI-optimized infrastructure. This role oversees all aspects of data center operationsincluding compute, storage, networking, power, cooling, and capacity planningwhile driving modernization, automation, and alignment with business and AI workload demands.
This position requires deep expertise in enterprise-class data centers, cloud and hybrid architectures, and the emerging requirements of AI / ML environments. The Director will lead cross-functional teams, optimize operational processes, manage vendors, and ensure adherence to industry best practices and compliance standards.
Key Responsibilities
Strategic Leadership & Planning
- Own the vision and roadmap for enterprise and AI-focused data center infrastructure.
- Drive strategy for high-density AI compute clusters, GPU infrastructure, and next-generation cooling and power systems.
- Define capacity planning models for compute, storage, and network resources aligned with business and AI workload growth.
- Partner with executive leadership, security, DevOps, and data science teams to ensure the data center can support evolving AI and cloud initiatives.
- Evaluate new technologies to improve efficiency and competitiveness.
Data Center Operations Management
Oversee day-to-day operations of all corporate data centers, colocation facilities, and critical environments.Ensure 24 / 7 availability, performance, and resilience of the data center ecosystem.Manage facility infrastructure, including UPS, generators, PDUs, cooling systems, and environmental monitoring.Establish rigorous operational procedures, runbooks, and change management controls.Maintain compliance with relevant standards.AI / High-Performance Infrastructure
Lead architecture and operations of AI clusters (GPU servers, high-speed fabric, RDMA, InfiniBand, high-density racks).Optimize power usage effectiveness (PUE) and thermal management for AI workloads.Ensure scalable storage systems to support large model training and data pipelines.Collaborate with ML / AI teams to understand workload characteristics and infrastructure impact.Team Leadership & Development
Direct and mentor teams responsible for data center operations, infrastructure engineering, facilities management, and network operations.Build a culture of accountability, continuous improvement, and automation.Set performance standards, manage staffing needs, and oversee on-call rotations.Technology & Automation
Implement orchestration and automation tools for monitoring, patching, provisioning, and incident response.Drive adoption of DCIM platforms to increase operational efficiency and asset visibility.Lead hybrid cloud operations and migration strategies when appropriate.Budgeting & Vendor Management
Manage multi-million-dollar budgets for data center infrastructure, operations, and modernization.Oversee relationships with hardware vendors, colocation providers, MSPs, and service partners.Negotiate contracts for equipment procurement, maintenance, and support services.Risk Management, Security, & Compliance
Establish disaster recovery strategies and ensure failover capability for critical systems.Maintain security controls for physical and logical access to the data center.Conduct regular risk assessments, audits, and capacity reviews.Required Qualifications
Bachelors degree in Computer Science, Information Technology, Engineering, or equivalent experience.10+ years of experience in data center operations, infrastructure engineering, or similar roles.5+ years leading teams in high-availability, mission-critical environments.Deep expertise in :
Data center facility systems (power distribution, cooling, physical security)Virtualization and container platformsHigh-performance networkingStorage architectures for enterprise and AI workloadsMonitoring, DCIM, and automation frameworksPreferred Qualifications
Experience building or operating AI Data Centers at scale.Knowledge of liquid cooling systems.Certifications such as CDCDP, CDCTP, ITIL, PMP, or equivalent.Strong understanding of cybersecurity for data centersSoft Skills
Strong leadership, communication, and cross-department collaboration.Strategic thinker able to bring structure to complex operations.Ability to lead in high-pressure, rapidly evolving technology environments.Excellent problem-solving and decision-making skills.Looking for long-term commitment and growth in the role potential to become VP-level.Assist in the Road Map for future needs