This position is responsible for data maintenance for the whole vehicle order in the system and releasing the orders on time. Guide the downstream Logistics and Production processes.

Key Tasks:

1. Organize pre-series vehicle order steering meeting with relevant departments to keep to the necessary timeline and solve problems encountered in the process.
2. Collect and check project information including milestone, commercial offer, vehicle order volume and definition of  partially equipped cars, etc. Configure parameter, and basic data in pre-series order management system.
3. Generate and update the pre-series orders accurately and on time according to the previous input of order demand list and plan the pre-series vehicle orders into the production systems.
4. Validity check in functions and equipment against the rules of technical development and distribution systems (MBT and MBV). Final plausibility check of the order configuration with with correct project status. 
5. Create the vehicle memorandum in pre-series system and distribute the memo to customers and production.
6. Coordinate the date/characteristics changes in vehicle orders with customers/plants due to project decisions. 
7. Release and freeze the vehicle orders in the system according to the parts ordering timeline.
8. Establishment and maintenance of production control classification numbers for each model in order system.
9. Prepare and release standard documents, work processes and QMS documents.
10. Identify areas of potential improvement within Pre-series Logistics.

Qualification and skills required for the position:

• Bachelor degree or higher from university
• 3 years work experience, automotive background preferred.
• Experience in Logistics preferred.
• Familiar with vehicle structure and manufacturing processes.
• Familiar with order system of Volkswagen Group, IFA, MBV/MBT, FIS, COPS.
• Strong sense of self-drive, responsibility and full of innovation.
• Good communication skills, teamwork and work efficiently under high pressure.
• Proficient in the use of MS Office software.
• Able to use data analysis software e.g. Power BI or Python is beneficial.
• Excellent language skills in English (written and spoken). German proficiency is beneficial.