On-Site CMMS Planner for Data Center Maintenance

Jones Lang LaSalle Incorporated; Columbus (GA); On-site; USD 70,000 - 95,000; Full time

Benefits offered by this job

401(k) with company match

Medical, Dental & Vision Care

Paid parental leave

Paid Time Off

Daily Pay access

Job summary

Jones Lang LaSalle Incorporated (JLL) is seeking a Maintenance Planner/Scheduler for our Data Centers in Columbus, GA. This on-site role focuses on planning and scheduling maintenance using CMMS to optimize labor use and spare parts inventory.

The successful candidate will manage asset records, coordinate with facilities technicians, and drive continuous improvement in work planning through data analysis and process adherence.

Qualifications

• Five (5) years of experience in facilities planning and scheduling for operations and maintenance.
• Experience planning and scheduling for hourly workers using CMMS systems.
• Advanced knowledge of Microsoft Office Suite (Excel, Visio, Outlook); SharePoint knowledge.

Responsibilities

• Balance maintenance workload distribution with available labor resources to optimize inventory management.
• Ensure compliance with CMMS standards and database integrity.
• Oversee MRO parts ordering and implement PM Auto ordering where feasible.
• Generate asset-related purchase requisitions and maintain asset documentation.
• Coordinate with facilities teams to schedules, staffing, and work execution.

Skills

Facilities planning

Scheduling

Communication

Customer service oriented

Education

Bachelor’s Degree in engineering or management

Tools

CMMS

SQL/Oracle

SharePoint

Excel

Job description

Jones Lang LaSalle Incorporated (JLL) is seeking a Maintenance Planner/Scheduler for our Data Centers in Columbus, GA. This on-site role focuses on planning and scheduling maintenance using CMMS to optimize labor use and spare parts inventory.

The successful candidate will manage asset records, coordinate with facilities technicians, and drive continuous improvement in work planning through data analysis and process adherence.