Manufacturing Manager jobs at Johnson Electric in China, Jiangmen

- Define project scope, objectives, set project timeline and responsible for quality and profitability- Monitor milestones and key activities within project timeline
- Act as back up of Senior Project Manager

Responsibilities:

1,Communicate with customers directly to understand their requirements and order details; manage the changes throughout the project cycle

6,Participate all meetings and handle necessary documentations during entire project period 7,Be responsible for production line transfer from Shajing to our new smart factory in Jiangmen

Requirements：

1, Bachelor Degree holder; Major in Engineering is preferred

2, 10 years of work experience in project management

3, Project experience related to automotive products is an advantage

4, Good time management skill; good communication and interpersonal skills

5, Detail-minded and willing-to-learn personality

6, Fluent spoken and written English

CI Operational Coordination and Execution Support.

•Assisting in CI strategy implementation

•Operational datamanagement

Cross-departmental Coordination and Communication

•Promoting inter-departmental collaboration

•Internal and externalcommunication

Process Optimization and System Management

•Improving the institutional

Handling Emergencies and Special Tasks

•Executing specialtasks

•Coordinating the management team

Qualifications:

Bachelor degree, preferably with Industrial Engineering or equivalent 10+yrs related experience from manufacturing industry Familiarity with production system & processes, quality management, cost control, etc. Strong logical analysis ability (data interpretation, problem breakdown) Excellent communication and coordination skills in both English & Mandarin (cross-departmental promotion) High pressure resistance (handling multiple tasks in parallel andemergencies).

Overseeing the horizontal injection operations at Jiangmen plant. Manages production technicians, mold change technicians, and maintenance personnel to ensure efficient machine performance, quality output, and adherence to preventive maintenance (PM) schedules. Ensures safety, productivity, and continuous improvement within his scope.

Production Management

• Monitor daily production schedules and ensure on-time delivery of targets.
• Optimize machine utilization and efficiency (OEE).
• Implement and enforce standard operating procedures (SOPs) for injection molding processes.

Team Leadership

• Directly supervise production technicians, mold change technicians, and maintenance staff.
• Conduct training, performance reviews, and skill development for team members.
• Foster a culture of safety, quality, and accountability.

Technical Maintenance

• Oversee and ensure timely execution of preventive maintenance (PM) plans for all horizontal injection machines.
• Troubleshoot machine issues and coordinate with maintenance staff or external vendors as needed.
• Maintain records of machine downtime, root causes, and corrective actions.

Quality & Process Improvement

• Work with quality teams to address defects and non-conformities.
• Drive continuous improvement initiatives (e.g., Lean, 5S) to enhance productivity and reduce waste.

Reporting & Communication

• Report daily production status, issues, and KPIs to William Yeung.
• Collaborate with planning, engineering, and quality departments to resolve cross-functional challenges.

Qualifications & Requirements

• Education: Diploma or higher inMechanical/ManufacturingEngineering or related field.
• Experience:
  • Minimum 10 years of experience in injection molding operations.
  • At least 5 years in a supervisory role managing technicians and maintenance teams.
• Skills:
  • Strong knowledge of horizontal injection molding machines (e.g., Engel, Haitian, Sumitomo).
  • Familiarity with mold setup, process optimization, and preventive maintenance.
  • Basic understanding of Quality Management Systems (e.g., ISO 9001).
  • Proficient in Microsoft Office and ERP/MES systems.
• Attributes:
  • Leadership, problem-solving, and communication skills.
  • Ability to work under pressure in a fast-paced environment.

Job Responsibilities

(I) AI Application Development for Production Processes

1. Conduct in-depth research on the production processes of motor assembly, covering aspects such as parts assembly, finished product inspection, and function test. Design AI solutions based on the actual needs of the factory, for example, develop a machine - vision - based intelligent inspection system like missing screw installation, fixture position, misassembled components during the assembly line, thereby enhancing the accuracy and efficiency of motor assembly.

2. Take charge of the development of AI application projects, including data collection, model training, and system deployment. Analyze product images on the production line using deep - learning algorithms to achieve automatic defect recognition, reducing manual inspection costs and error rates.

(II) Intelligent Management of Production Equipment

1. Utilize AI technologies to build health monitoring and fault prediction models for production machines. Analyze equipment operation data (such as temperature, vibration, resistance and current) to assess the equipment's health status, predict potential faults in advance, and formulate reasonable equipment maintenance plans to minimize equipment downtime. For example, predict the wear of cutting tools or welding tips based on machine - learning algorithms and prompt timely tool replacement to ensure continuous production.

(III) Quality Control and Optimization

2. Using AI technologies and historical production data, analyze the key factors affecting product quality, provide data - driven Cpk support for production process optimization, and continuously improve product quality stability.

(IV) Data Management and Analysis

1. Be responsible for the collection, sorting and analysis of production-related data in the factory. Establish a production data warehouse to ensure the accuracy and integrity of data, providing high - quality data for AI model training and analysis.

2. Use data analysis tools to conduct in-depth analysis of production data and generate visual reports, providing data - based decision-making support for management. For example, analyze production efficiency data and propose suggestions for optimizing production processes.

Qualification Requirements

(I) Educational Background

A master's degree in Computer Science and Technology, Artificial Intelligence, Automation, Mechanical Engineering (Intelligent Manufacturing Direction), Industrial Engineering, or related majors.

(II) Work Experience

1. 5-10 years of experience in AI application development in the manufacturing industry. Candidates with relevant project experience in assembly manufacturing factories are preferred, and a good understanding of factory production processes and business requirements is required.

2. Participation in at least one complete AI project development, including requirements analysis, algorithm design, model training, and system deployment, with the ability to implement AI technologies in real - world production scenarios.

(III) Professional Skills

1. Understanding of Industrial Internet of Things (IIoT) - related technologies to enable the collection and transmission of production equipment data; familiarity with the principles of industrial automation control, and candidates with some knowledge of PLC programming are preferred.

2. Possess a certain knowledge of mechanical design and manufacturing processes to facilitate the integration of AI technologies with production.

- Define project scope, objectives, set project timeline and responsible for quality and profitability- Monitor milestones and key activities within project timeline
- Act as back up of Senior Project Manager