AI-Ready Knowledge Architect
For Those Who Work At Home, OH, United States
R
USD 96K-181K Senior-level Full Time
Tasks
- Confirm and document prioritized metadata elements
- Define data modeling and semantic standards
- Define domain boundaries and semantic contracts
- Design information and semantic models for AI ready data
- Develop enterprise taxonomy and ontologies
- Identify redundancy reduction and canonical sources
- Lead enterprise data domain model development
- Operationalize data models in enterprise data catalog
- Partner with analytics data science and AI engineering teams
- Resolve semantic conflicts and harmonize terms
- Support governed explainable AI outcomes
Perks/Benefits
Skills/Tech-stack
AI Search | Alation | Amazon Neptune | Azure AI | Azure AI Search | Azure Cosmos | Azure Cosmos DB | Business glossary | Collibra | Cosmos DB | Data Catalog | Data Catalog Curation | Data Governance | Data Lineage | Data Management | Data Modeling | Data Quality | Data Quality Management | Data Standards | Data Stewardship | Datahub | Enterprise Data | Enterprise Data Catalog | Entity Relationship Modeling | Entity relationship | Graph Vector Retrieval | Hybrid Retrieval Augmented Generation | Hybrid retrieval | Knowledge graphs | Language Models | Large Language Models | Master Data | Master Data Management | Metadata Management | Metadata governance | Metadata repository | Microsoft Purview | Neo4j | Ontology | Pinecone | Prompt engineering | Protégé | Quality management | RDF Schema | Relationship Modeling | Resource Description Framework | Resource description | Retrieval-Augmented Generation | SKOS | Semantic Contracts | Semantic Modeling | Semantic Normalization | Stardog | Taxonomy | TopBraid | Vector Databases | Vector Retrieval | Weaviate | Web Ontology Language
Education
N/A
Roles
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