基本信息

职位编号:
100016037
工作领域:
Data Management and Analytics
国家/地区:
中国
省:
天津
市:
天津（Tianjin）
日期:
星期四, 5 月 29, 2025
其他工作城市: 
* China

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569亿美元的全球化科技巨头，位列《财富》世界500强第248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:

We are seeking a highly motivated and detail-oriented Supply Chain Data Governance Expert to join our GSC (Global Supply Chain) Smart Operations team. The ideal candidate will take as business owner to work with related DT/IT teams and cross-functional GSC teams (planning, procurement, manufacturing, logistics, quality and order fulfillment) to govern GSC data in good quality for digital and intelligent products development. This is a full-time opportunity that will work in our Tianjin office, and some team-work with outside of China members.

We Offer: 1) Opportunities for professional growth and development, including access to the latest technologies and industry trends. 2) A dynamic and collaborative work environment that encourages innovation and creativity. 3) The chance to make a significant impact on the future of supply chain management through the use of digital and AI in a global operational networks by solid data foundation.

Job Responsibilities:
1. Develop and implement data governance policies, standards, and procedures for whole global supply chain related data.
2. Carry out specific data governance work, including but not limited to data standards, data quality, data assets, master data, data security and privacy protection, etc.
3. Plan and build data governance - related tool platforms with related teams.
4. Collaborate with various departments to align data governance with organizational goals.
5. Set up criteria on data quality measurement, and ensure data quality, consistency, security, and compliance with legal regulations, and also meet supply chain operations requirement
6. Manage the data life cycle, including metadata management.
7. Provide education and training to staff on data management best practices and related process, polity etc.
8. Monitor and report on the effectiveness of data governance initiatives.

Job Requirements:
1. A bachelor's degree in computer science, information systems, management information systems, statistics, or a related field is required. A master's degree in data science, analytics, information management, or a related field is preferred. Additionally, relevant certifications such as Certified Data Management Professional (CDMP) can be advantageous
2. 3+ years of work experience in data management, data governance, or a related field is required. 
3. Ability to have good communicate in English, both written and verbal.
4. Experience in developing data policies, conducting data quality assessments, and implementing data governance frameworks is highly valued.
5. Proficient in data governance theories and methods, familiar with data governance frameworks (such as DAMA, DCMM, etc.), and possess rich practical experience in data governance projects. 
6. Proficiently master the use of data quality management tools, metadata management tools, and master data management tools. Familiar with relevant laws, regulations, and technical measures for data security and privacy protection, and have practical experience in data encryption, access control, etc. CDMP certification is preferred.
7. Proficient in SQL and other database query languages. Skilled in data modeling and visualization tools such as Tableau or PowerBI. Understanding of programming languages like Python or R, which are commonly used in data analysis, is beneficial. Also, a solid understanding of cybersecurity principles and protocols is required to protect sensitive information.
8. Professional understanding of supply chain concepts, processes and related data is preferred.
9. Have excellent communication and coordination skills and be able to collaborate efficiently with cross - functional teams,  coordinate various resources to ensure target achievements.
10. Strong analytical and problem-solving skills with keen attention to detail.

其他工作城市: 
* China
* China
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