Sr. Taxonomy & Ontology Architect

About ISACA ISACA® (www.isaca.org) 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. Overview 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. Responsibilities 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 assets. Apply and help improve governance processes that incorporate human-in-the-loop review to validate automated tagging, ontology expansion, content classification, and semantic enrichment activities. Ensure consistency, interoperability, and quality across content and data sources through hands-on analysis, documentation, stakeholder collaboration, and adherence to established governance practices. Performance Optimization and Continuous Improvement Analyze knowledge platform analytics, search behavior, retrieval performance, and content utilization trends to identify opportunities for improving discoverability, relevance, taxonomy effectiveness, and knowledge architecture maturity. Recommend practical enhancements to taxonomy, ontology, metadata, and knowledge graph structures based on performance data, stakeholder feedback, and evolving business needs. Knowledge Architecture Governance and Organizational Capability Development Serve as a senior technical resource on taxonomy, ontology, knowledge graphs, semantic technologies, Graphwise Graph Modeling, GraphDB, and human-in-the-loop knowledge engineering practices. Provide guidance, documentation, and knowledge-sharing support to stakeholders to promote consistent use of knowledge architecture standards and practices. Contribute input on relevant tools, technologies, and industry practices, and recommend improvements that support ISACA’s knowledge architecture maturity and AI-enabled capabilities. Qualifications Required Field of Study: BA/BS, Library Science, Data or Information Science, computer science, Computational Linguistics, Digital Humanities, English, Communications or related area Minimum Years of Experience Required: 8+ years of progressive experience in taxonomy, ontology, metadata, information architecture, content architecture, knowledge management, semantic modeling, or related knowledge architecture disciplines, including hands-on experience designing, implementing, and supporting governance of structured knowledge assets in complex digital content, search, data, or AI-enabled environments. Description of Minimum Experience Required: Progressive experience designing, implementing