Senior Knowledge Graph & Ontology Architect

ISACA; United States; Remote; USD 99,000 - 148,000; Full time

Job summary

ISACA is seeking a Sr. Taxonomy & Ontology Architect to lead taxonomy, ontology, metadata, and knowledge graph architecture across its knowledge ecosystem.

You will define standards, govern governance, and enable AI-enabled search and content experiences for members and customers worldwide. The role collaborates with AI architects, product leaders, content and data teams, applying SKOS/RDF/OWL standards, Graphwise Graph Modeling, GraphDB, and human-in-the-loop review to deliver scalable,

Qualifications

• Progressive governance of taxonomies, ontologies, metadata models, and knowledge graphs.
• Experience with human-in-the-loop review for taxonomy/ontology development.
• Experience with semantic standards and tools in AI-enabled environments.
• Ability to collaborate with cross-functional teams to support platform requirements.

Responsibilities

• Design, maintain, and improve taxonomy, ontology, metadata, and knowledge graph architecture.
• Support knowledge graph capabilities and AI-enabled discovery across ISACA’s digital ecosystem.
• Provide technical guidance to content, product, technology, UX, and data stakeholders.
• Guide governance of semantic enrichment, tagging, and retrieval methodologies.
• Analyze platform analytics to drive improvements in search and content reuse.

Skills

Excellent written and verbal comms

Strong organizational skills

Multi-project management

Collaborative working style

Education

BA/BS in Library Science or Information Science or CS

Advanced degree preferred

Tools

Graphwise Graph Modeling

GraphDB

GraphRAG

PoolParty

SKOS/RDF/OWL

Job description

ISACA is seeking a Sr. Taxonomy & Ontology Architect to lead taxonomy, ontology, metadata, and knowledge graph architecture across its knowledge ecosystem.

You will define standards, govern governance, and enable AI-enabled search and content experiences for members and customers worldwide. The role collaborates with AI architects, product leaders, content and data teams, applying SKOS/RDF/OWL standards, Graphwise Graph Modeling, GraphDB, and human-in-the-loop review to deliver scalable,