基本信息

职位编号:
100017207
工作领域:
Data Management and Analytics
国家/地区:
中国
省:
湖北
市:
武汉（Wuhan）
日期:
星期四, 6 月 18, 2026
其他工作城市: 
* China - Beijing - Beijing

为什么选择联想

联想文化，我们称之为 “We Are Lenovo”（我们，就是联想），其核心是：“说到做到，尽心尽力，成就客户”。

联想集团是一家年收入830亿美元的全球化科技巨头，位列《财富》世界500强第196名，服务遍布全球180个市场数以百万计的客户。为实现“智能，为每一个可能” 的公司愿景，联想在不断夯实全球个人电脑市场冠军地位的基础上，积极构建全栈式的计算能力，现已拥有包括人工智能赋能、人工智能导向和人工智能优化的终端、基础设施、软件、解决方案和服务在内的完整产品路线图，包括个人电脑、工作站、智能手机、平板电脑等终端产品，服务器、存储、边缘计算、高性能计算以及软件定义等基础设施产品。这一变革与联想改变世界的创新一起，共同为世界各地的人们成就一个更加包容、值得信赖的智慧未来。联想集团有限公司在香港交易所上市（港交所：992）（美国预托证券代号：LNVGY）。

欢迎访问联想官方网站 https://www.lenovo.com，并关注“联想集团”微博及微信公众号等社交媒体官方账号，或关注“联想招聘”公众号，获取联想最新动态。

职位描述和要求:

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.

其他工作城市: 
* China - Beijing - Beijing
* China - Beijing - Beijing
* China - Beijing
* China
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