At a Glance
- Tasks: Lead the design and governance of enterprise knowledge graphs for AI-driven projects.
- Company: Join NTT DATA, a global leader in technology and innovation.
- Benefits: Flexible work options, competitive salary, and opportunities for professional growth.
- Other info: Be part of a diverse team making a positive impact on society.
- Why this job: Shape the future of AI while building a strong internal team.
- Qualifications: 10+ years experience in Knowledge Graphs and strong leadership skills.
The predicted salary is between 63000 - 77000 £ per year.
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Knowledge Graph Consultant to join our team in London, United Kingdom.
Experience: 10+ years (5+ years in Knowledge Graphs / Ontology Engineering)
Role Overview
We are looking for a Knowledge Graph Architect to lead the design and governance of enterprise knowledge graphs. This role will define the ontology, data model, and canonical vs. interpretive boundaries, enabling scalable, high-quality graph data for AI-driven use cases, including Graph RAG. The role also requires strong team leadership, including coaching, mentoring, and building internal capabilities.
Key Responsibilities
- Architecture & Design
- Define node types, relationships, schemas, and property standards
- Design scalable and extensible graph data models
- Establish versioning and lifecycle standards
- Ontology & Governance
- Develop ontologies, taxonomies, and semantic frameworks
- Define canonical vs. interpretive data boundaries
- Govern schema evolution and version control
- Graph Change Management
- Act as the authority for all structural changes
- Manage schema, relationship, and property updates
- Define and enforce change control processes
- Graph RAG & AI Enablement
- Design Graph RAG retrieval strategies
- Integrate knowledge graphs with LLMs and AI systems
- Optimize context generation for AI use cases
- API & Consumption Layer
- Design REST/GraphQL APIs for graph access
- Define agent consumption interfaces
- Ensure performance, scalability, and usability
- Team Leadership
- Coach, mentor, and develop internal talent
- Provide hands-on technical guidance and reviews
- Drive delivery, prioritization, and skill development
- Stakeholder Collaboration
- Partner with data, AI/ML, and business teams
- Translate requirements into semantic models
- Provide thought leadership on graph adoption
Required Skills
- Neo4j Schema Design (Cypher, property graph modeling)
- Ontology Engineering (OWL/RDF, Protégé)
- Graph RAG (LLM integration, retrieval strategies)
- API Design (REST / GraphQL)
Preferred Skills
- Graph platforms: Neptune, TigerGraph
- Semantic standards: SPARQL, SHACL
- AI/ML and LLM ecosystem exposure
- Data governance and integration experience
This role is pivotal in shaping the semantic foundation for enterprise AI, bridging data architecture, ontology design, and advanced AI capabilities while building and leading a strong internal team.
NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
Knowledge Graph Consultant employer: NTT DATA
At NTT DATA, we pride ourselves on being an excellent employer that fosters a culture of innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and a supportive environment that encourages creativity in the rapidly evolving field of AI/ML security. Located in a vibrant tech hub, we offer competitive benefits and a dynamic workplace where your contributions directly impact the future of secure AI systems.
