Data Center Operations Coordinator – ML Hardware

GXO Logistics, Inc; Council Bluffs (IA); On-site; USD 60,000 - 75,000; Full time

Benefits offered by this job

Health insurance

401(k)

Life insurance

Disability insurance

Job summary

GXO Logistics, Inc. is recruiting a Program Coordinator, Operations for Council Bluffs, IA. The role focuses on planning and coordinating ML server/rack requirements, delivering program management support, and monitoring performance against SLAs to optimize data center operations.

The position emphasizes collaboration with Engineering and Core Enablement teams to align deployment goals, improve asset utilization, and sustain lean, efficient workflows across the data center environment.

Qualifications

• Bachelor’s degree or equivalent related work or military experience.
• 2 years of experience in Data Center operations, ML hardware logistics, or supply chain.
• Experience with Microsoft Office and DCIM/Inventory Management software.
• A highly organized and detail-oriented work style with a proactive and professional attitude.

Responsibilities

• Identify ML server/rack requirements and coordinate delivery to ensure Data Center capacity and company requirements are met.
• Provide dedicated program management support, including deployment issue resolution, program performance monitoring, and adherence to SLAs.
• Ensure maximum efficiency and optimization in rack integration and hardware movement to achieve operational success, efficiency, and quality goals.
• Monitor critical infrastructure shipments to ensure on-time deliveries; troubleshoot and resolve supply chain discrepancies.

Skills

Project management

Data Center operations

DCIM/Inventory Management

Microsoft Office

Education

Bachelor’s degree or equivalent related work or military experience

Tools

DCIM Software

Job description

GXO Logistics, Inc. is recruiting a Program Coordinator, Operations for Council Bluffs, IA. The role focuses on planning and coordinating ML server/rack requirements, delivering program management support, and monitoring performance against SLAs to optimize data center operations.

The position emphasizes collaboration with Engineering and Core Enablement teams to align deployment goals, improve asset utilization, and sustain lean, efficient workflows across the data center environment.