About this role
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 (https://www.lenovo.com), and read about the latest news via our StoryHub (https://news.lenovo.com/).
Qualifications
- Bachelor’s degree or above, major in Information Management & Information System, Computer Science or related fields.
- Solid PL/SQL programming skills, proficient in mainstream databases including Oracle and SQL Server.
- Skilled in writing SQL scripts and stored procedures, with hands-on experience in database development, performance tuning and system optimization.
- Knowledge of ERP theory; familiarity with supply chain planning business is preferred.
- Capable of rapid system troubleshooting, identifying anomalies, delivering systematic IT solutions and driving continuous product optimization.
- Good English proficiency in listening, speaking, reading and writing; able to work night shifts on a rotating basis.
Preferred Qualifications
Practical experience in AI-enabled intelligent operations & maintenance. Understanding of AI-based log analysis, anomaly detection, automated alerting, RAG knowledge base, intelligent Agent and other IT operation implementation approaches. Able to leverage AI tools to assist in fault diagnosis, script generation and knowledge management, and advance the automation and intelligent transformation of supply chain system operations.