基本信息

职位编号:
100016898
工作领域:
Engineering
国家/地区:
中国
省:
北京
市:
北京（Beijing）
日期:
星期一, 4 月 20, 2026
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690亿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:

Job responsibilities:

-Data & Knowledge Standard Establishment: Define and enforce BU-wide standards for data/knowledge quality, accessibility, and contribution protocols to ensure the reliability of AI agent decision-making.

-Business Team Collaboration: Partner cross-functionally with business teams to drive structured data/knowledge submission, guiding stakeholders on aligning domain-specific assets with AI agent requirements.

-Knowledge Governance & Alignment: Oversee governance of data/knowledge assets, ensuring adherence to established standards while tailoring assets to support AI agent functionality and trustworthiness.

-Cross-Functional Knowledge Capture: Collaborate with business teams to formalize domain-specific data/knowledge into structured formats for AI agent integration.

-Asset Refinement: Optimize data/knowledge assets based on AI agent performance feedback and evolving business/user needs, maintaining alignment with enterprise standards.

Job Requirements：

  -Data & Knowledge Management: Design and maintain enterprise data/knowledge assets tailored to AI/agentic system reliability.

  -Standard-Setting & Governance: Establish clear, actionable standards for data/knowledge quality, accessibility, and stakeholder contribution.

  -AI Asset Alignment: Tailor data/knowledge assets to support AI agent functionality and trustworthiness.

  -Cross-Functional Stakeholder Collaboration: Engage business teams to drive consistent, structured data/knowledge contribution to AI repositories.

  -Feedback-Driven Optimization: Refine assets based on AI performance insights and business user needs

Required experience in:

 -Proven experience in enterprise knowledge management (designing architectures, curating assets).

              -Experience in aligning knowledge assets with AI/agentic systems (training data, knowledge bases).

              -Track record in establishing knowledge governance frameworks (accuracy, currency).

              -Expertise in collaborating with teams to capture critical knowledge for AI agents.


其他工作城市: 
* China
* China
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