Principle – Knowledge Governance & GenAI Enablement.
Tasks
- Align knowledge graphs and semantic models
- Define guardrails for structured and unstructured knowledge
- Define semantic standards and ontologies
- Design ontology and semantic architecture
- Detect and mitigate semantic drift
- Embed knowledge into agent frameworks
- Enable governed knowledge for RAG systems
- Enforce governance for accuracy provenance and compliance
- Ensure enterprise knowledge governance
- Establish semantic change management workflows
- Implement knowledge lifecycle processes
- Improve retrieval precision and recall
- Increase consistency across analytics and GenAI outputs
- Own enterprise semantic layer in Snowflake
- Reduce hallucinations through semantic grounding
Perks/Benefits
Skills/Tech-stack
Agent Frameworks | Change Management | Data Governance | Data Lineage | Data Modeling | Data Quality | Data provenance | Drift monitoring | Hallucination reduction | Knowledge graphs | Metric Standardization | Ontology Design | RAG | Semantic Drift | Semantic Modeling | Semantic drift monitoring | Snowflake | Version control
Education
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