Industrial Engineer
Listed on 2026-01-29
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Engineering
Lean Manufacturing / Six Sigma, Data Engineer, Manufacturing Engineer
Transport is at the core of modern society. Imagine using your expertise to shape sustainable transport and infrastructure solutions for the future. If you seek to make a difference on a global scale, working with next‑gen technologies and the sharpest collaborative teams, then we could be a perfect match.
The role will be located at our Volvo Group Central Distribution Center in Byhalia, MS as well as Regional Distribution Centers across the NA region. The Byhalia CDC is a 1.2 million square foot facility located approximately 25 miles southeast of Memphis, TN. We operate in two shifts, employing approximately 600 union employees. Many growth opportunities wait for leaders who are willing to join our team.
We are actively working to establish teams which will take maximum advantage of the diversity in our differences in knowledge, experience, age, gender, and nationality. Our DNA is built upon our Volvo Production System (Lean) and our Volvo Values (Customer Success, Trust, Passion, Change and Performance) are guiding us to continue to succeed in this industry.
- Lead, develop, plan, and execute Logistics Engineering activities using world‑class internal material‑handling practices.
- Design and implement complete internal logistics flows — from receiving dock to assembly line — ensuring safety, productivity, and efficiency.
- Define manpower, equipment, and space requirements aligned with cost‑reduction, productivity, and sustainability targets.
- Design and maintain logistics area layouts according to the plant master plan and Lean principles.
- Participate in and/or lead Kaizen and Value Stream Mapping events to improve operations, reduce waste, and maximize productivity.
- Support and drive the implementation of the Volvo Production System (VPS) Logistics Pillar using the Volvo Operations Concept.
- Serve as an Expert / Key User in VPS (Continuous Improvement) tools and methodologies.
- Bring innovation and automation to logistics processes through the application of digital tools, analytics, and data‑driven decision making.
- Develop and maintain Power BI dashboards, SQL queries, and Python‑based automations to visualize and optimize material flows, space utilization, and logistics KPIs.
- Collaborate closely with Materials Business Team Leaders, Supervisors, and cross‑functional teams to ensure smooth communication between engineering, operations, and IT.
- Bachelor’s degree in Engineering (Industrial, Logistics, Mechanical, Systems, or equivalent).
- Experience in Manufacturing, Engineering, or Logistics environments is a plus (typically 2–5 years preferred).
- Proficiency in English — all documentation and reporting are in English.
- Strong written and verbal communication skills; ability to communicate technical data clearly at all levels.
- Advanced computer and analytics skills, including:
- Microsoft Office (Excel, PowerPoint, Visio, Project)
- Power BI (data modeling, DAX, visualization, and automation)
- SQL (data extraction, transformation, and integration)
- Python (data analysis, automation, simulation, or optimization)
- Experience with Lean Manufacturing, Continuous Improvement, and VPS tools.
- Project management and problem‑solving skills; ability to deliver on tight timelines.
- Self‑motivated, analytical, and able to independently lead complex assignments.
- Experience working in cross‑functional teams (Engineering, IT, Operations, Procurement, etc.).
- Ownership & Accountability:
Take the lead in achieving results and accept responsibility for actions, costs, and outcomes. - Teamwork:
Build cooperation among departments and share knowledge to achieve common goals. - Lean Concept Advocate:
Apply Lean principles to drive continuous improvement and operational excellence. - Data‑Driven Mindset:
Use analytics tools (Power BI, SQL, Python) to turn data into actionable insights. - Creativity / Innovation:
Reframe traditional processes using modern tools, automation, and digitalization. - Attention to Detail:
Ensure data accuracy and adherence to standards in all analyses and designs. - Problem Solving / Decision Making:
Take a structured approach to identify root causes, develop solutions, and act…
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