What You’ll Do:

Utilize Operations Research, Data Analytics, and Process Improvement methods to identify opportunities in the Maintenance department. Use advanced data analytics and machine learning techniques to manipulate data and look for trends, patterns, and draw conclusions from large datasets. Use operations research to model real-world problems into mathematical programs, then use a variety of methods to find optimal or near optimal solutions. Recommend and implement processes improvements projects. This position will also lead cross-functional project teams to adapt current processes to emerging trends within the industry and organization, to optimize the network of maintenance support for operations, and to drive waste from processes.

Techniques include:  mathematical optimization, data analytics, simulation, network analysis, queuing theory, and sequencing problems.

This position will minimize maintenance costs for fleet operations through:

Analysis of freight volume by lanes to determine optimal locations of maintenance shops and selection of vendor supportApplication of process improvement methods across all functions of maintenance: Shops, XRA, Warranty, Parts, Tires, Systems, and AssetsUtilization of performance management concepts to align Maintenance departments efforts to Corporate objectivesData analytics using R, Python, Excel, Minitab for both Operations and Maintenance data setsFacilitate Lean Six Sigma projects from identification through deployment phasesProcess audits to enhance consistency, deepen & broaden bench strength across units within MaintenanceDevelop and generate reports illustrating performance to goals