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Process Improvement Manager - Supply Chain

Job in Fort Worth, Tarrant County, Texas, 76102, USA
Listing for: Shoppa's Material Handling
Full Time position
Listed on 2025-12-30
Job specializations:
  • Supply Chain/Logistics
    Operations Manager, Business Management
  • Management
    Operations Manager, Business Management
Job Description & How to Apply Below

Process Improvement Manager - Supply Chain

Join to apply for the Process Improvement Manager - Supply Chain role at Shoppa's Material Handling

Job Summary

The Process Improvement Manager is responsible for leading transformational initiatives and driving continuous improvement across Shoppa’s Supply Chain organization. This role serves as a systems expert and business process architect for ERP, WMS, TMS, and related technologies. Acting as a liaison between IT and business functions, the Manager ensures supply chain systems are optimized for usability and performance while aligning processes to improve forecasting, reduce working capital, increase service levels, and eliminate waste.

This role provides strategic support to Procurement, Warehousing, and Transportation teams by improving KPIs and enabling data‑driven decision‑making. The position is also accountable for deploying Lean Six Sigma methods, guiding cross‑functional projects, and simplifying operations through process standardization and digital tools.

Essential Functions
  • Lead the development and execution of supply chain transformation strategies.
  • Serve as the SME and champion for ERP, WMS, TMS, and related systems.
  • Drive user experience (UX) improvement within supply chain platforms and workflows.
  • Act as a key liaison between business and IT to deliver technical solutions with operational impact.
  • Identify and implement process improvement initiatives that reduce complexity and increase efficiency across supply chain sub‑departments.
  • Use modeling and simulation to support strategic and financial decision‑making (e.g., inventory optimization, site planning, routing efficiency).
  • Drive standardization and consistency in how processes are executed across warehouses and regions.
  • Represent Supply Chain on enterprise‑level initiatives including system upgrades, integrations, and cross‑functional improvement efforts.
  • Establish, track, and improve KPIs such as inventory accuracy, fulfillment rate, cycle time, PPV, inventory turns, and customer satisfaction.
Qualifications
  • Bachelor’s degree in Supply Chain, Industrial Engineering, Business, or related field required.
  • 10+ years of experience in operational excellence, supply chain systems, or continuous improvement roles.
  • Proven track record of leading cross‑functional improvement initiatives in a complex, multi‑site environment.
  • Hands‑on experience with ERP/WMS/TMS systems (Microsoft Dynamics, SAP, or equivalent).
  • Strong understanding of core supply chain functions including forecasting, procurement, warehousing, and fulfillment.
  • Experience with advanced modeling tools, analytics platforms, or simulation software preferred.
  • Lean Six Sigma certification strongly preferred (Green Belt or above).
  • Familiarity with digital transformation and automation in warehousing or transportation a plus.
  • Experience leading Kaizen events, value‑stream mapping (VSM), or Lean transformation initiatives preferred.
  • Positive attitude, willingness to learn and strong work ethic required.
  • Strategic Mindset and situational adaptability.
  • High emotional IQ.
  • Ability to thrive in a fast‑paced, dynamic environment.
  • Strong project management and change management skills.
  • Effective communicator with ability to influence at all levels.
  • Self‑starter with high accountability and a continuous improvement mindset.
  • Experience mentoring teams or training others in process or systems disciplines.
  • Strong capability to facilitate cross‑functional workshops and lead teams through change initiatives.
  • Ability to translate operational challenges into system or process requirements using structured analysis methods.
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