Manufacturing Process Engineer: EC/NPI & Data Optimization

Lenovo; Riyadh; On-site; SAR 120,000 - 180,000; Full time

Job summary

Lenovo in Saudi Arabia is seeking a qualified engineer to lead end-to-end Engineering Change Execution (EC) and related Process Change Notices (PCN) in the factory, while maintaining production data in MES and SAP systems.

You will design and manage labels, optimize processes, support New Product Introduction, and resolve production abnormalities to minimize downtime. A Bachelor's degree in Computer Science or a related engineering field and at least 2 years' experience are required.

Qualifications

• Bachelor's degree in Computer Science or a related engineering field.
• Familiar with engineering change management processes.
• Proficient in operating MES and SAP production systems.
• Minimum 2 years of experience in manufacturing production technology, process engineering, or production operations.

Responsibilities

• Engineering Change Execution: Lead end-to-end EC/PCN implementation in the factory.
• Production Data Maintenance: Data entry, update, and verification in MES and SAP to ensure accuracy and traceability.
• Label Management: Design, produce, update, and maintain product labels compliant with regulations and standards.
• System & Process Optimization: Identify bottlenecks and drive improvements to production efficiency.
• New Product Introduction (NPI) Support: Prepare to mass-produce new products as scheduled.
• Production Abnormality Resolution: Analyze root causes and implement solutions to minimize downtime.

Skills

Engineering Change Management

Production data analysis

Cross-functional collaboration

Education

Bachelor's degree in Computer Science or related Engineering

Tools

MES

SAP

Job description

Lenovo in Saudi Arabia is seeking a qualified engineer to lead end-to-end Engineering Change Execution (EC) and related Process Change Notices (PCN) in the factory, while maintaining production data in MES and SAP systems.

You will design and manage labels, optimize processes, support New Product Introduction, and resolve production abnormalities to minimize downtime. A Bachelor's degree in Computer Science or a related engineering field and at least 2 years' experience are required.