Manager of Labor Engineering and Systems

Yusen Logistics•Long Beach, CA

23d•$109,853 - $184,613•Hybrid

About The Position

The Manager of Labor Engineering and Systems leads national implementation of the warehouse performance management (WPM) tool across the warehouse network and, after implementation, serves as the platform’s permanent architect and administrator. The role owns the labor productivity lifecycle, from engineering initial labor standards to maintaining data integrity across multiple warehouse management systems (WMS) and dedicated- and multi-customer contracts. The position works with Operations and site leadership to deploy and govern the labor management system, develop and validate labor standards, normalize data from WMS and time-and-attendance platforms, and maintain system configuration and user hierarchies. It also supports performance-management culture change through training, audits, operational analysis, and continuous improvement initiatives. The role requires a bachelor’s degree in Industrial Engineering or a similar field and at least six years of relevant industrial engineering experience. The stated preferred experience is 8–10+ years. It requires expertise in labor management systems, WMS data structures, time-and-motion models, time-study tools, data mapping, and analytics. Travel of up to 50% is required. The work combines office or remote analysis and configuration with on-site warehouse work, and may require support across multiple shifts. The role may include managing 1–5 direct reports.

Requirements

Bachelor’s degree in Industrial Engineering (BSIE) or a similar field.
At least 6 years of industrial engineering experience in contract logistics (3PL), high-volume distribution, or manufacturing.
Proven record implementing and maintaining Tier-1 labor management systems, such as Easy Metrics, Manhattan, or BlueYonder.
Expert-level understanding of WMS data structures, time-and-motion models, time-study tools, database mapping, and data visualization tools such as PowerBI, Python, or SQL.
Exceptional ability to influence site leadership and present complex engineering return on investment to executive stakeholders.
Willingness to travel as needed; the stated travel requirement is up to 50%.
Ability to stand and walk on concrete warehouse floors for extended periods of 8–10 hours during on-site studies and go-lives.
Manual dexterity to use a laptop, handheld scanners, and tablet-based time-study software while standing or moving.
Close visual acuity for data analysis, reading WMS code and dashboards, and observing warehouse tasks during time-study validation.
Ability to work in warehouse environments with varying temperatures, including non-climate-controlled, cold-storage, or high-heat settings.
Ability to troubleshoot data-mapping problems between WMS and WPM systems without a predefined manual.
High-level mathematical and statistical reasoning, including standard deviation and mean performance in labor modeling.
Ability to maintain concentration during extended data audits and technical configuration.
Awareness of warehouse safety protocols and automated equipment such as forklifts and conveyors while conducting floor-level studies.
Resilience in defending objective engineering standards when facing operational or associate pushback.

Nice To Haves

8–10+ years of experience.
Direct experience with Easy Metrics; alternatively, experience with Manhattan Labor Management, BlueYonder (JDA), or TZA ProTrack.
Experience mapping data from multiple Tier-1 and Tier-2 WMS platforms, such as Manhattan, BlueYonder, SAP EWM, or HighJump/Korber.
PowerBI or Tableau proficiency for creating executive-level cost-to-serve dashboards beyond native WPM reporting.
SQL competency for auditing raw data exports and troubleshooting integration errors.
Lean Six Sigma Green Belt or Black Belt certification.
PMP certification or similar formal project-management methodology training for large-scale deployments.
Experience in a 3PL environment and understanding of how labor standards affect Open Book versus Closed Book contracts and client billing.
Experience managing a Center of Excellence or centralized engineering function supporting 20 or more geographically dispersed facilities.
Experience designing or maintaining incentive or gainshare programs based on WPM data, including applicable legal and operational guardrails.

Responsibilities

Lead full-cycle deployment of the labor management system at new and existing facilities, including project administration, success assessments, training support, technical configuration support, and performance-management culture change.
Use industrial engineering methods to conduct time studies and data analysis; establish, validate, and regularly audit data-driven labor standards for warehouse activities.
Support technical data mapping among WMS platforms, time-and-attendance software, and the WPM; normalize disparate data exports into a unified reporting structure.
Administer the WPM nationally, including system governance, user hierarchies, and configuration updates to reflect operational needs.
Conduct recurring audits at established sites to verify data integrity, identify standard drift, and confirm site leadership uses the system to improve labor efficiency.
Design and maintain labor models that account for dedicated-client facilities and multi-customer environments with shared labor.
Develop and deliver training for General Managers and Supervisors, translating engineering data into operational actions and supporting a performance-based culture.
Analyze productivity trends and partner with operational leadership on Lean or engineering-driven process improvements.
Support vendor relationships, which may include contract renewals, SLA negotiations, enhancement requests, and escalations.
Travel to warehouse sites for implementations, audits, and troubleshooting.
Work independently on-site with local support and potentially manage 1–5 analysts, engineers, or regional industrial engineering staff.