Lead, Workloading & Production Optimization

Energy Jobline ZR; Kansas City (MO); Hybrid; USD 120,000 - 190,000; Full time

Benefits offered by this job

Performance bonus

Executive leadership role

Job summary

Energy Jobline ZR is seeking a proven leader to modernize and rebuild our field + office system for workloading, labor standards, and bid accuracy. You will design the playbooks that determine staffing, pricing, and operations across commercial cleaning contracts.

This executive role blends field observations with modeling in Excel, develops benchmarks, conducts time studies, and trains supervisors to use the new system.

Qualifications

• 7+ years in commercial janitorial or facility services operations.
• Strong estimating and labor modeling experience.
• Advanced Excel skills.

Responsibilities

• Build and implement a standardized workloading and estimating methodology.
• Develop production rate benchmarks and labor standards (sq. ft. per hour).
• Conduct time studies, route analysis, and workflow optimization.
• Improve bid accuracy through job costing feedback and real-world validation.
• Identify and eliminate lost time (travel time, setup, rework, inefficiencies).
• Implement best practices (team cleaning, hybrid cleaning models, sequencing).
• Train supervisors, managers, and estimating staff to use the new system.
• Help evaluate and deploy technology tools for inspections, work orders, and labor management.

Skills

Leadership

Estimating

Labor modeling

Excel advanced

Time studies

Training & coaching

Communication

Education

Industrial Engineering degree

Lean Six Sigma (Green/Black Belt)

BSCAI certifications (CBSE or RBSM)

Tools

Janitorial Manager

CleanTelligent

Labor management software

Job description

Energy Jobline ZR is seeking a proven leader to modernize and rebuild our field + office system for workloading, labor standards, and bid accuracy. You will design the playbooks that determine staffing, pricing, and operations across commercial cleaning contracts.

This executive role blends field observations with modeling in Excel, develops benchmarks, conducts time studies, and trains supervisors to use the new system.