Sr. Taxonomy & Ontology Architect
Listed on 2026-11-01
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IT/Tech
Information & Knowledge Management, AI Engineer (Applied/Software), Data Engineering, IT Consultant
ISACA® ((Use the "Apply for this Job" box below).) champions the global workforce advancing trust in technology. For more than 55 years, ISACA has empowered its community of 195,000+ members with the knowledge, credentials, training and network they need to thrive in fields like information security, governance, assurance, risk management, data privacy and emerging tech. With a presence in more than 195 countries and with more than 230 chapters worldwide, ISACA offers resources tailored to every stage of members' careers-helping them to thrive in a rapidly changing digital landscape, drive trusted innovation and ensure a more secure digital world.
Through the ISACA Foundation, ISACA also expands IT and education career pathways, fostering opportunities to grow the next generation of technology professionals.
The Sr. Taxonomy & Ontology Architect serves as a senior technical resource for taxonomy, ontology, metadata, and knowledge graph architecture, providing technical guidance and recommendations for the design, implementation, governance, and ongoing improvement of ISACA’s knowledge ecosystem. The role contributes to and applies standards, frameworks, and architectural direction that enable knowledge assets to be consistently structured, connected, discovered, and leveraged across ISACA’s products, platforms, content experiences, and AI-enabled solutions.
The Architect supports the development and maintenance of the knowledge architecture roadmap, helping enhance interoperability across systems and improve search, personalization, content reuse, and scalable digital experiences for members and customers worldwide.
Enterprise Taxonomy, Ontology, and Knowledge Graph Architecture
- Design, maintain, and improve ISACA’s taxonomy, ontology, metadata, and knowledge graph architecture practices and solutions. Serve as a senior technical resource for semantic modeling and knowledge representation, utilizing Graphwise Graph Modeling, GraphDB, and human-in-the-loop review methodologies to support the accuracy, scalability, governance, and business relevance of knowledge assets. Contribute to standards, frameworks, and roadmap planning that support AI-powered discovery, content interoperability, personalization, and knowledge reuse across ISACA’s digital ecosystem.
Knowledge Graph Architecture and AI Enablement
- Support the design, implementation, and optimization of knowledge graph capabilities leveraging Graphwise Graph Modeling, GraphDB, GraphRAG, semantic standards, and human-in-the-loop validation practices. Partner with AI architects, engineers, product leaders, and other stakeholders to ensure knowledge assets are structured and governed for effective use in search, retrieval, recommendation, personalization, and emerging AI-enabled applications. Contribute to the ongoing evolution of semantic AI capabilities by applying technical expertise, evaluating solution performance, and recommending improvements that strengthen knowledge graph usability and business value.
Cross-Functional Architecture Leadership
- Provide technical guidance and collaborate with content, product, technology, UX, and data stakeholders to support effective knowledge architecture practices. Inform platform requirements, content architecture, integration approaches, and semantic technology decisions to support cross-functional initiatives and business objectives. Translate taxonomy, ontology, metadata, and knowledge graph concepts into clear recommendations that help teams implement consistent, scalable, and user-centered solutions.
Data Integration, Classification, and Semantic Governance
- Support and guide the evaluation, normalization, mapping, classification, and integration of internal and third-party knowledge…
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