Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Target Resume Now
About the Role
Seeking an experienced Ontology & AI Governance Consultant to establish and implement semantic governance frameworks for trusted, governed, and AI-ready enterprise data. This role focuses on developing ontologies, knowledge models, metadata standards, and AI governance structures to support enterprise-wide data consistency, responsible AI adoption, and intelligent agent ecosystems.
Responsibilities
- Designing, developing, and governing enterprise ontologies, knowledge graphs, and semantic frameworks.
- Leading the development of AI governance and semantic data standards.
- Integrating semantic models into enterprise platforms, data pipelines, and AI solutions.
- Implementing semantic validation and data quality controls.
- Enabling knowledge-driven AI capabilities such as semantic search and Retrieval Augmented Generation (RAG).
- Establishing metadata and taxonomy standards.
- Providing strategic guidance on responsible AI, explainability, and governance best practices.
- Driving stakeholder engagement, governance adoption, and continuous improvement of semantic and AI governance capabilities.
Requirements
- Proven experience designing, developing, and maintaining enterprise ontologies using semantic web technologies (OWL, RDF, RDFS, SKOS).
- Strong hands-on expertise in Semantic Web standards and technologies, including SPARQL.
- Demonstrated experience building, implementing, and governing enterprise Knowledge Graphs and linked data solutions.
- Experience developing and applying semantic validation rules, data quality frameworks, and governance controls using SHACL, OWL constraints, or equivalent.
- Solid understanding of AI Governance, Responsible AI principles, and data governance frameworks.
- Experience enabling AI, GenAI, and AI Agent use cases through ontologies, knowledge graphs, semantic search, or RAG frameworks.
- Strong knowledge of data modelling, information architecture, metadata management, and enterprise data integration practices.
- Proven ability to integrate semantic technologies with enterprise applications, data platforms, APIs, and cloud environments.
- Proficiency in at least one programming language (Python, Java, or similar) with experience in semantic processing pipelines, integrations, or automation.
- Experience working with graph databases or semantic platforms (Neo4j, Stardog, GraphDB, Apache Jena, Amazon Neptune, Azure graph technologies).
- Strong stakeholder engagement and consulting skills.
- Excellent communication, documentation, and facilitation skills.
- Ability to establish governance standards, operating models, best practices, and adoption frameworks.
- Experience operating within large enterprise environments and delivering strategic data, governance, or AI transformation initiatives.
- Valid work rights for Australia.
- Willingness to undergo a comprehensive background checking process.
Skills
- Ontology development
- AI Governance
- Semantic technologies
- OWL
- RDF
- Knowledge Graphs
- SPARQL
- Metadata management
- Enterprise architecture
- Data governance
- SHACL
- Responsible AI
- Explainability
- Transparency
- Accountability
- Compliance
- GenAI
- AI Agent ecosystems
- Semantic search
- Retrieval Augmented Generation (RAG)
- Data modelling
- Information architecture
- Enterprise data integration
- Python
- Java
- Graph databases
- Neo4j
- Stardog
- GraphDB
- Apache Jena
- Amazon Neptune
- Azure graph technologies
- Stakeholder engagement
- Consulting
- Communication
- Documentation
- Facilitation
Location
- Australia
Work Type
- Full-time
Experience Level
- Experienced
Benefits
- Paid parental leave
- Well-being initiatives
- Discounted health insurance
- Discounts on various products and services
- Regular recognition and rewards for high performance
- Career development opportunities
- Capability Fingerprint
- Industry and partner training programs
- Special interest groups
- AI-driven learning platform
About the Company
- NCS Australia believes in doing technology services better through quality, people focus, and challenging traditional thinking.
- The company partners with clients and communities to make tomorrow together.
- NCS Australia is committed to creating an environment that prioritizes innovation, collaboration, and purposeful work.
- The diverse team is empowered to make a meaningful impact with curiosity, creativity, and resilience.
- NCS Australia offers a place to feel at home, nurturing talents and skills.
- The company provides meaningful work and opportunities for growth.
Equal Opportunity
- NCS Australia is an equal-opportunity employer committed to valuing and supporting its people and communities.
- The company is dedicated to attracting, retaining, and developing people regardless of gender identity, ethnicity, sexual orientation, disability, and age.
- Applications are encouraged from all sectors of the community, with a strong encouragement for applications from Veterans, and the Aboriginal and/or Torres Strait Islander community.
- NCS Australia is committed to supporting adjustments throughout the recruitment and selection process, as well as during employment.
- The company actively supports and encourages people with disability to apply.