Logistics Engineering Manager

• Minimum of 5-7 years of experience in logistics engineering
• Strong knowledge of implementing and managing automation systems, WMS, robotics, and material handling technologies
• Lean Six Sigma Certification preferred
• PMP Certification preferred
• Strong consulting or project management experience in the warehouse technology space
• A fundamental understanding of mechanics and electronics can be useful, especially if the warehouse has complex machinery or automation systems.
  
  
• Knowledge of how to set up and maintain the equipment used in the warehouse.
  
  
• Understanding of automated conveyor systems, robotic pickers, automated storage and retrieval systems (AS/RS), etc.
  
  
• Familiarity with radio frequency identification (RFID) systems, barcode scanners, and other inventory tracking technologies.
  
  
• Experience with forklifts, pallet jacks, reach trucks, and other equipment used in the warehouse.
  
  
• Proficiency in tools like SAP, Oracle, or other enterprise resource planning (ERP) software systems that manage logistics and inventory control.
  
  
• Ensuring compliance with local and international regulations, such as hazardous material handling, weight restrictions, or packaging laws
• Proficient in using advanced analytical tools and software to forecast trends, monitor logistics performance, and develop action plans for optimization.
  
  
• Stay up to date on emerging trends and technologies in logistics engineering, automation, and supply chain management to propose innovative solutions.
  
  
• Oversee the implementation of IT infrastructure improvements and automation technologies to improve workflow and inventory accuracy.
  
  
• With Class 3 licence with good driving record
• Rotational shifts and must work on weekends

Technical Skills:

• Strong proficiency in logistics software systems (e.g., SAP, Oracle, WMS, TMS).
  
  
• Expertise in automation systems (robotics, AS/RS, conveyors, automated sorting systems, etc.).
  
  
• Proficiency in data analysis and statistical tools (e.g., Excel, Power BI, Tableau, R, Python).
  
  
• Understanding of project management software (e.g., MS Project, Asana, Jira).
  
  
• Advanced proficiency in simulation software (e.g., AutoCAD, AnyLogic) for designing logistics systems and workflows.