FIND_THE_RIGHTJOB.
PCG Data Management Engineer
JOB_REQUIREMENTS
Hires in
Not specified
Employment Type
Not specified
Company Location
Not specified
Salary
Not specified
General Information
Req #
WD00091684
Career Area:
Engineering
Country/Region:
Saudi Arabia
City:
Riyadh
Date:
Monday, January 5, 2026
Working Time:
Full-time
Additional Locations:
- Saudi Arabia
Why Work at Lenovo
We are Lenovo. We do what we say. We own what we do. We WOW our customers.
Lenovo is a US$69 billion revenue global technology powerhouse, ranked #196 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.
Description and Requirements
We are looking for a PCG Data Management Engineer to join our team on a full-time basis. In this role, you will lead engineering change execution, maintain production data, manage product labels, and optimize systems and processes. You will also support new product introduction and resolve production abnormalities to ensure smooth operations.
Your Responsibilities:
- Engineering change execution - Lead end-to-end implementation of Engineering Change (EC) and Process Change Notice (PCN) in the factory.
- Maintain production data by performing accurate entry, updates, and verification in systems such as TDC, MES, and SAP. Ensure production data is accurate and traceable to support production.
- Label management - Design, produce, update, and maintain product labels in compliance with local regulations, customer requirements, and factory standards.
- System & process optimization - Identify pain points in manufacturing systems and bottlenecks in production processes; propose and implement optimization solutions to improve efficiency and usability.
- Support New Product Introduction (NPI) by completing engineering preparation to ensure timely mass production.
- Resolve production abnormalities quickly, organize root cause analysis, and implement solutions to minimize impact and reduce downtime.
Position Requirements:
- Bachelor’s degree or above in engineering or related fields.
- Familiarity with engineering change management processes.
- Proficiency in operating at least one production management system (e.g., MES, SAP).
- Minimum 5 years of experience in manufacturing production technology, process engineering, or production operations.
What Can We Offer You:
- An international team with a high focus on Gender Diversity.
- Employee Assistance Program for psychological, legal, and financial consultancy.
- A company committed to sustainability through CO2 Offset, Asset Recovery Services, and Lenovo Certified Refurbished portfolio.
- Access to training for personal development via our internal e-learning platform.
- Mentorship program to support your career growth.
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.
Additional Locations:
- Saudi Arabia
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.
Similar jobs
No similar jobs found
© 2026 Qureos. All rights reserved.