Technical Parts Supervisor – Supply Chain (General Motors)

DHL Global Forwarding; Dubai; On-site; AED 201,000 - 290,000; Full time

Job summary

DHL Global Forwarding in Dubai is seeking a Technical Parts Supervisor – Supply Chain (General Motors) to bridge Quality, Technical and Parts Planning and translate defect data into actionable inventory strategies that ensure optimal availability while minimizing excess stock.

The role requires engineering background with SAP experience and strong analytical skills (Power BI). You will monitor demand by model, manage back orders, and implement SOPs to improve accuracy and efficiency.

Qualifications

• Min 3 years in order fulfillment, inventory or supply chain in the automotive industry.
• Engineering degree in Automotive/Mechanical.
• Strong organizational, communication, and leadership abilities.
• Experience with SAP or similar inventory systems and Excel/Power BI.

Responsibilities

• Maintain a high system fill rate with the right parts available at the right time.
• Track defects, warranty claims, and trend data to identify improvements.
• Plan demand by part number and model, considering seasonality.
• Coordinate with Inventory Control to maintain accurate stock levels.
• Prepare reports on order status and fulfillment performance.
• Enforce SOPs to maintain high accuracy and efficiency.
• Guide team on best practices and SOPs.

Skills

Organizational skills

Communication

Leadership

Education

Engineering (Automotive/Mechanical)

Tools

SAP

Power BI

Job description

DHL Global Forwarding has an opening for a Technical Parts Supervisor – Supply Chain (General Motors) in Dubai, United Arab Emirates. The Technical Parts Supervisor acts as the operational bridge between Quality, Technical, and Parts Planning teams. The primary responsibility is to identify emerging trends in quality defects, technical issues, and service campaigns—and translate these insights into actionable inventory strategies that ensure optimal availability while minimizing excess stock. This role is essential for maintaining high fill rates, and preventing parts shortages.

In this Technical Parts Supervisor – Supply Chain (General Motors) position:

• - Maintain a high system fill rate ensuring right part is available at the right time
• - Comprehend technical bulletins and ensure accurate parts planning and inventory
• - Work with Technical & Quality teams to plan and ensure part availability based on quality failure rates
• - Monitor defect frequencies, warranty claims, repeat failures, and statistical quality data to identify emerging trends
• - Estimate short‑term and long‑term demand impact per part number and model
• - Understand and plan effectively for parts based on seasonality
• - Monitor and manage back orders, ensuring timely fulfillment and communication with various teams
• - Analyze data to identify trends, issues, and opportunities for improvement
• - Coordinate with Inventory Control team to maintain accurate inventory levels and ensure stock availability to meet order requirements
• - Prepare and maintain reports on order status, and fulfillment performance
• - Implement and enforce standard operating procedures (SOPs) to maintain high standards of accuracy and efficiency
• - Identify areas for improvement in the order fulfillment process and develop strategies to enhance efficiency and accuracy
• - Stay updated on industry best practices and incorporate them into the fulfillment process
• - Train and guide team members on standard operating procedures, and best practices

Experience:

• - Min 3 years professional experience in order fulfillment, inventory management, or supply chain management in the automotive industry

Education:

• - Engineering (Automotive/Mechanical), additional education in supply chain management is a plus

Skills:

• - Strong organizational, communication, and leadership skills with the ability to motivate and guide a team
• - Proficiency in SAP, or other inventory management software and systems
• - Analytical skills, with excellent proficiency in Advanced MS Excel, Power BI or other analytical tools