Principal – Knowledge Governance, GenAI Enablement
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Job Description
Principle overseeing Knowledge Governance & GenAI Enablement at a financial company. Responsible for ensuring enterprise knowledge is structured, governed, and AI ready to support analytics and data products.
Responsibilities:
- Accountable for ensuring enterprise knowledge is structured, governed, and AI ready
- Bridges semantic architecture, knowledge lifecycle governance, and GenAI enablement
- Own the enterprise semantic layer within Snowflake
- Align ontologies, knowledge graphs, and Snowflake semantic models
- Define standards for semantic modeling across analytics, BI, and AI use cases
- Establish change management, versioning, and approval workflows for semantic updates
- Embed governed knowledge into RAG systems, knowledge graphs, and agent frameworks
- Define repeatable onboarding processes for new GenAI use cases
- Establish guardrails for structured vs unstructured knowledge usage
- Improve grounding, reduce hallucination, and increase answer consistency
Requirements:
- Bachelor’s degree in Computer Science or related field (advanced degree preferred)
- 10 years in knowledge management, data modeling, ontology design, or semantic technologies
- Demonstrated enterprise-scale ontology or knowledge graph design experience
- Strong understanding of GenAI architectures, including RAG and agent-based systems
- Experience in regulated or risk-sensitive environments preferred
- Executive-level communication skills
Benefits:
- flexible work environment
- fluid career paths
- celebrate internal mobility
- purpose and well-being recognition
- work-life balance
- volunteering opportunities
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