Logistics Project Manager, Milton Keynes

Job Responsibilities:

1. Project Lifecycle Management: This includes project initiation, making project plans, detailing project work content, adjusting project plans according to the actual situation, and coordinating with project stakeholders to complete the work, ensuring high-quality project delivery . 2. On-site Project Implementation Management, coordinating resources from all parties to ensure that the civil construction renovation, power and communication system, installation and commissioning of logistics automation equipment, and other tasks are carried out in an orderly manner, proceed as planned, and are delivered on time. 3. Project Delivery and Integration: Collaborating with planning, operations, R&D, equipment supplier, and other parties, organizing project training, on-site setup, warehouse relocation, and starting operation to ensure a smooth project launch.

4. Accumulation of Project Implementation Techniques and Standardization Construction: Based on the practice of European project construction and operation, accumulate and compile European project construction standards from the principles of compliance, efficiency, and economy, continuously iterate and improve to enhance the efficiency and quality of project construction.

Job Requirements:

1. Basic Requirements: Bachelor's degree or above, majors in Industrial Engineering, Logistics and supply chain management, Automation, and other related fields.

2. Language Requirement: Fluent in English, capable of using it as a working language for meetings, reports, and project communication.

3. Work Experience: More than 5 years of experience in project implementation, familiar with the overseas working environment and logistics policies, with experience in managing automated projects such as large-scale warehousing centers, sorting centers, etc. Priority will be given to those with overseas project implementation experience.

4. Basic Skills: Rigorous logical thinking and data sensitivity, good summarization and induction abilities, and data analysis capabilities. Proficient in at least one data analysis tool, such as EXCEL, SQL, Python, etc.