General Information

Req #
100017207
Career area:
Data Management and Analytics
Country/Region:
China
State:
Hubei
City:
武汉（Wuhan）
Date:
Thursday, June 18, 2026
Additional Locations: 
* China - Beijing - Beijing

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$83 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). 

To find out more visit www.lenovo.com and read about the latest news via our StoryHub.

Description and Requirements

Position Summary
This role is a key contributor to the MDSC global supply planning process, data and system. The role delivers major planning data—including One Plan commitment, overseas EMS factory ship plan commitment, global CTB, stoplight consolidation, PDP with offset rules. The role also leads digital tool development (e.g., Smart Supply Planning, SP workspace) and integrates cross-functional tools into one platform as a One Team solution.

Job Responsibilities
1. Digital Transformation & Intelligence
- Lead and bridge DT/IT teams to identify automation, digitalization, and AI opportunities; empower daily operations with AI technology.
- Develop and enable the Smart Supply Planning tool, contributing to upstream/downstream digital projects; extend to GSC level for platform synergy and resource leverage.
- Create Power BI dashboards to visualize MDSC supply planning data, measure business results and performance, and predict risks/issues; centralize into a global data pool for worldwide visibility and traceability.
2. Process Optimization & Innovation
- Enhance processes in a dynamic industrial environment; initiate new processes (e.g., risk buy process across NPI, BU, procurement, planning) and enhance existing ones (e.g., KD ship plan centralization, NPI PSS integration into SSP, digital huddle integration into planning).
- Standardize planning timelines, logic, and templates across all overseas EMS factories.
3. Data-Driven Decision Making
- Analyze business results and performance by managing master data and planning data; initiate improvements accordingly.
- Ensure accurate system/BOM operation and resolve issues to sustain customer fulfillment timelines.
- Monitor, track, and predict planning issues with effective cross-functional solutions.
4. Team Development & Training
- Train new members on general planning instructions.

Job Requirements
1. Functional/Technical
- Supply chain management, planning logic, cross-functional knowledge (procurement & sourcing, NPI, quality, manufacturing, logistics), inventory management, planning systems, data analysis |
2.Business
- Market/industry dynamics, financial acumen, risk management, sustainability 
3. Managerial
- Team leadership, project management, effective cross-organizational communication 
4.Behavioral & Leadership Expectations
1). Business Insight
– Identify opportunities and risks in dynamic markets; deploy new tools/systems for new business models or demand-supply networks.
2). Process Optimization
– Redesign processes using automation or AI-driven analytics to improve efficiency and reduce costs.
3). Digitalization & Intelligence
– Proactively integrate advanced technologies into daily operations; provide customized solutions for organizational needs.
4). Collaboration
– Develop innovative collaboration models with suppliers, EMS partners, and cross-functions in new planning scenarios; lead or contribute as a key member of E2E digital projects.
5). Data-Driven Decision Making
– Use AI, machine learning, and interactive dashboards to predict demand spikes, identify hidden patterns, and deliver actionable insights.
6.Advanced Challenges & Expected Outcomes
1). AI Implementation
– Define practical AI opportunities in daily E2E planning operations; lead solutions with DT/IT teams for intelligent, dynamic, and fuzzy planning; maintain industry-leading operational levels.
2）. Advanced Process Design
– Design and establish E2E processes supporting diverse business models, leveraging Lenovo’s internal best practices (e.g., PCG) and industry benchmarks to keep performance competitive.
3）. New Business Model Integration
– As business expands, bring new business models into E2E planning with necessary enhancements to existing processes, systems, and tools, working cross-functionally.
4）. Data Value Discovery
– Uncover true value from decades of MDSC planning data; provide deep insights behind business performance to support success in highly competitive markets.
5）. Timeline & Efficiency Management
– Follow strict weekly timelines, drive and influence multiple functions, set key monitors and pre-alerts, react quickly to exceptions; continuously improve efficiency to match business complexity and growth.

Additional Locations: 
* China - Beijing - Beijing
* China
* China - Beijing
* China - Beijing - Beijing
Go back