PCG Eng DME

We are Lenovo. We do what we say. We own what we do. We WOW our customers. Lenovo is a US$83 billion revenue global technology powerhouse, ranked #153 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY). This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com , and read about the latest news via our StoryHub . Job Description 1. Engineering Change Execution: Lead the end-to-end implementation of EC (Engineering Change)/PCN (Process Change Notice) in thefactory. 2. Production Data Maintenance: Responsible for data entry, update, and verification in production systems such as TDC, MES and SAP. Ensure production data is accurate and traceable to support production. 3. Label Management: Design, produce, update, and maintain product labels. Ensure label information complies with local regulations, customer requirements, and factory management standards. 4. System & Process Optimization: Identify pain points in the operation of manufacturing systems and bottlenecks in production processes. Propose optimization solutions, drive implementation, and verify results to improve production efficiency and system usability. 5. New Product Introduction (NPI) Support: Complete engineering preparation to ensure new products are mass-produced as scheduled. 6. Production Abnormality Resolution: Quickly resolve production abnormalities to ensure smooth production operations. Organize root cause analysis, develop and implement solutions to minimize production impact and shorten downtime Job Requirements: 1. Bachelor's degree or above, Major in Computer Science or other engineering-related fields. 2. Familiar with engineering change management processes. 3. Proficient in operating at least one production management system (e.g., MES, SAP) . 4. Minimum 2 year of experience in manufacturing production technology, process engineering, or production operations. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class. AI PROCESSING NOTICE We use AI-based tools to support some of our processes (e.g. online interviews recordings and transcripts) in order to achieve better efficiency, accuracy and for our documentation purposes. AI can make mistakes, but we always make sure that the outputs are manually reviewed by a human. You can always opt-out or contact us in case of any question.

1) Bachelor's degree or above, Major in Computer Science or other engineering-related fields. 2) Familiar with engineering change management processes. 3) Proficient in operating at least one production management system (e.g., MES, SAP). 4) Minimum 2 year of experience in manufacturing production technology, process engineering, or production operations.

1. Engineering Change Execution: Lead the end-to-end implementation of EC (Engineering Change)/PCN (Process Change Notice) in the factory. 2. Production Data Maintenance: Responsible for data entry, update, and verification in production systems such as TDC, MES and SAP. Ensure production data is accurate and traceable to support production. 3. Label Management: Design, produce, update, and maintain product labels. Ensure label information complies with local regulations, customer requirements, and factory management standards. 4. System & Process Optimization: Identify pain points in the operation of manufacturing systems and bottlenecks in production processes. Propose optimization solutions, drive implementation, and verify results to improve production efficiency and system usability. 5. New Product Introduction (NPI) Support: Complete engineering preparation to ensure new products are mass-produced as scheduled. 6. Production Abnormality Resolution: Quickly resolve production abnormalities to ensure smooth production operations. Organize root cause analysis, develop and implement solutions to minimize production impact and shorten downtime