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.
-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.