Technical Specialist
Confirmed on the employer's own hiring board on Nov 10, 2026. First seen by Alion on Nov 10, 2026.
Job Summary
Job Description: Semantic Knowledge Graph / GraphDB SME Role: Semantic Knowledge Graph / GraphDB SME Role Type: Senior SME / Advisor Primary Objective: Establish a scalable, governed and production-ready Enterprise Semantic Knowledge Graph capability, covering GraphDB platform architecture, ontology management, governance, security and operational best practices. Role Purpose We are looking for an experienced Semantic Knowledge Graph / GraphDB SME to provide architectural and technical leadership for an enterprise GraphDB capability. The SME will support the evolution of the existing Graphwise RDF GraphDB deployment on OpenShift into a robust enterprise service supporting semantic data and AI use cases. The role will also help establish an Ontology & Graph Centre of Excellence / governance function, including standards, operating model and lifecycle governance. Key Responsibilities 1. Knowledge Graph & GraphDB Architecture Provide architectural guidance for enterprise Semantic Knowledge Graph implementation. Define GraphDB repository, namespace and environment strategy. Establish naming conventions and DEV / Test / Acceptance / Production promotion principles. Define repository ownership and lifecycle management. Support performance considerations around RDF triple storage, query performance and namespace sizing. 2. Ontology & Semantic Governance Establish ontology principles, standards and governance. Define the target operating model for the Ontology function. Establish ontology lifecycle and versioning practices. Define governance across Change Request → Semantic Review → Impact Analysis → Approval → New Version → Validation/Test → Production Deployment. Drive cross-domain impact assessment and reuse of semantic patterns. Guide reuse and extension of industry ontologies such as FIBO (Financial Industry Business Ontology). 3. Platform Reliability & Operations Advise on backup and restore strategy, High Availability, RPO/RTO and business continuity. Define operational support, capacity planning and monitoring considerations. Establish GraphDB operational best practices for a production-grade enterprise service 4. Security, Governance & Data Controls Define appropriate GraphDB security and governance controls. Address authentication/authorization and enterprise integration requirements. Guide RBAC/ABAC considerations. Support PII/data masking requirements. Establish approaches for end-to-end lineage, metadata and provenance using PROV-O. Define Semantic Knowledge Graph quality controls using SHACL. 5. Business & AI Enablement Translate business use cases through the semantic lifecycle: Business Use Case → Taxonomy / Business Concepts → Ontology → RDF Triples → GraphDB → Application / AI Use Case Advise business and architecture teams on adoption of Knowledge Graph capabilities. Support early use cases, with pensions identified in the thread as an expected early consumer. Help create an approach that can ultimately support semantic capabilities across multiple enterprise domains Required Skills / Experience Strong hands-on expertise in RDF Graph Databases / Semantic Knowledge Graphs. Strong understanding of RDF, triples, ontologies, taxonomy and semantic modelling. Experience defining enterprise ontology governance and lifecycle management. Knowledge of SHACL for Knowledge Graph quality/validation. Understanding of PROV-O for metadata, provenance and lineage. Knowledge of industry ontologies, particularly FIBO, would be valuable. Experience defining graph repository and namespace strategies. Strong understanding of GraphDB performance, scalability and operational considerations. Knowledge of enterprise security including RBAC/ABAC, identity integration and data controls. Ability to work with enterprise architects, data/platform teams and business/domain stakeholders. Preferred / Contextual Skills Experience with Graphwise / GraphDB. Experience deploying or operating GraphDB on OpenShift. Exposure to enter
Key Responsibilities
Job Description: Semantic Knowledge Graph / GraphDB SME Role: Semantic Knowledge Graph / GraphDB SME Role Type: Senior SME / Advisor Primary Objective: Establish a scalable, governed and production-ready Enterprise Semantic Knowledge Graph capability, covering GraphDB platform architecture, ontology management, governance, security and operational best practices. Role Purpose We are looking for an experienced Semantic Knowledge Graph / GraphDB SME to provide architectural and technical leadership for an enterprise GraphDB capability. The SME will support the evolution of the existing Graphwise RDF GraphDB deployment on OpenShift into a robust enterprise service supporting semantic data and AI use cases. The role will also help establish an Ontology & Graph Centre of Excellence / governance function, including standards, operating model and lifecycle governance. Key Responsibilities 1. Knowledge Graph & GraphDB Architecture Provide architectural guidance for enterprise Semantic Knowledge Graph implementation. Define GraphDB repository, namespace and environment strategy. Establish naming conventions and DEV / Test / Acceptance / Production promotion principles. Define repository ownership and lifecycle management. Support performance considerations around RDF triple storage, query performance and namespace sizing. 2. Ontology & Semantic Governance Establish ontology principles, standards and governance. Define the target operating model for the Ontology function. Establish ontology lifecycle and versioning practices. Define governance across Change Request → Semantic Review → Impact Analysis → Approval → New Version → Validation/Test → Production Deployment. Drive cross-domain impact assessment and reuse of semantic patterns. Guide reuse and extension of industry ontologies such as FIBO (Financial Industry Business Ontology). 3. Platform Reliability & Operations Advise on backup and restore strategy, High Availability, RPO/RTO and business continuity. Define operational support, capacity planning and monitoring considerations. Establish GraphDB operational best practices for a production-grade enterprise service 4. Security, Governance & Data Controls Define appropriate GraphDB security and governance controls. Address authentication/authorization and enterprise integration requirements. Guide RBAC/ABAC considerations. Support PII/data masking requirements. Establish approaches for end-to-end lineage, metadata and provenance using PROV-O. Define Semantic Knowledge Graph quality controls using SHACL. 5. Business & AI Enablement Translate business use cases through the semantic lifecycle: Business Use Case → Taxonomy / Business Concepts → Ontology → RDF Triples → GraphDB → Application / AI Use Case Advise business and architecture teams on adoption of Knowledge Graph capabilities. Support early use cases, with pensions identified in the thread as an expected early consumer. Help create an approach that can ultimately support semantic capabilities across multiple enterprise domains Required Skills / Experience Strong hands-on expertise in RDF Graph Databases / Semantic Knowledge Graphs. Strong understanding of RDF, triples, ontologies, taxonomy and semantic modelling. Experience defining enterprise ontology governance and lifecycle management. Knowledge of SHACL for Knowledge Graph quality/validation. Understanding of PROV-O for metadata, provenance and lineage. Knowledge of industry ontologies, particularly FIBO, would be valuable. Experience defining graph repository and namespace strategies. Strong understanding of GraphDB performance, scalability and operational considerations. Knowledge of enterprise security including RBAC/ABAC, identity integration and data controls. Ability to work with enterprise architects, data/platform teams and business/domain stakeholders. Preferred / Contextual Skills Experience with Graphwise / GraphDB. Experience deploying or operating GraphDB on OpenShift. Exposure to enter
Skill Requirements
Job Description: Semantic Knowledge Graph / GraphDB SME Role: Semantic Knowledge Graph / GraphDB SME Role Type: Senior SME / Advisor Primary Objective: Establish a scalable, governed and production-ready Enterprise Semantic Knowledge Graph capability, covering GraphDB platform architecture, ontology management, governance, security and operational best practices. Role Purpose We are looking for an experienced Semantic Knowledge Graph / GraphDB SME to provide architectural and technical leadership for an enterprise GraphDB capability. The SME will support the evolution of the existing Graphwise RDF GraphDB deployment on OpenShift into a robust enterprise service supporting semantic data and AI use cases. The role will also help establish an Ontology & Graph Centre of Excellence / governance function, including standards, operating model and lifecycle governance. Key Responsibilities 1. Knowledge Graph & GraphDB Architecture Provide architectural guidance for enterprise Semantic Knowledge Graph implementation. Define GraphDB repository, namespace and environment strategy. Establish naming conventions and DEV / Test / Acceptance / Production promotion principles. Define repository ownership and lifecycle management. Support performance considerations around RDF triple storage, query performance and namespace sizing. 2. Ontology & Semantic Governance Establish ontology principles, standards and governance. Define the target operating model for the Ontology function. Establish ontology lifecycle and versioning practices. Define governance across Change Request → Semantic Review → Impact Analysis → Approval → New Version → Validation/Test → Production Deployment. Drive cross-domain impact assessment and reuse of semantic patterns. Guide reuse and extension of industry ontologies such as FIBO (Financial Industry Business Ontology). 3. Platform Reliability & Operations Advise on backup and restore strategy, High Availability, RPO/RTO and business continuity. Define operational support, capacity planning and monitoring considerations. Establish GraphDB operational best practices for a production-grade enterprise service 4. Security, Governance & Data Controls Define appropriate GraphDB security and governance controls. Address authentication/authorization and enterprise integration requirements. Guide RBAC/ABAC considerations. Support PII/data masking requirements. Establish approaches for end-to-end lineage, metadata and provenance using PROV-O. Define Semantic Knowledge Graph quality controls using SHACL. 5. Business & AI Enablement Translate business use cases through the semantic lifecycle: Business Use Case → Taxonomy / Business Concepts → Ontology → RDF Triples → GraphDB → Application / AI Use Case Advise business and architecture teams on adoption of Knowledge Graph capabilities. Support early use cases, with pensions identified in the thread as an expected early consumer. Help create an approach that can ultimately support semantic capabilities across multiple enterprise domains Required Skills / Experience Strong hands-on expertise in RDF Graph Databases / Semantic Knowledge Graphs. Strong understanding of RDF, triples, ontologies, taxonomy and semantic modelling. Experience defining enterprise ontology governance and lifecycle management. Knowledge of SHACL for Knowledge Graph quality/validation. Understanding of PROV-O for metadata, provenance and lineage. Knowledge of industry ontologies, particularly FIBO, would be valuable. Experience defining graph repository and namespace strategies. Strong understanding of GraphDB performance, scalability and operational considerations. Knowledge of enterprise security including RBAC/ABAC, identity integration and data controls. Ability to work with enterprise architects, data/platform teams and business/domain stakeholders. Preferred / Contextual Skills Experience with Graphwise / GraphDB. Experience deploying or operating GraphDB on OpenShift. Exposure to enter
Other Requirements
Job Description: Semantic Knowledge Graph / GraphDB SME Role: Semantic Knowledge Graph / GraphDB SME Role Type: Senior SME / Advisor Primary Objective: Establish a scalable, governed and production-ready Enterprise Semantic Knowledge Graph capability, covering GraphDB platform architecture, ontology management, governance, security and operational best practices. Role Purpose We are looking for an experienced Semantic Knowledge Graph / GraphDB SME to provide architectural and technical leadership for an enterprise GraphDB capability. The SME will support the evolution of the existing Graphwise RDF GraphDB deployment on OpenShift into a robust enterprise service supporting semantic data and AI use cases. The role will also help establish an Ontology & Graph Centre of Excellence / governance function, including standards, operating model and lifecycle governance. Key Responsibilities 1. Knowledge Graph & GraphDB Architecture Provide architectural guidance for enterprise Semantic Knowledge Graph implementation. Define GraphDB repository, namespace and environment strategy. Establish naming conventions and DEV / Test / Acceptance / Production promotion principles. Define repository ownership and lifecycle management. Support performance considerations around RDF triple storage, query performance and namespace sizing. 2. Ontology & Semantic Governance Establish ontology principles, standards and governance. Define the target operating model for the Ontology function. Establish ontology lifecycle and versioning practices. Define governance across Change Request → Semantic Review → Impact Analysis → Approval → New Version → Validation/Test → Production Deployment. Drive cross-domain impact assessment and reuse of semantic patterns. Guide reuse and extension of industry ontologies such as FIBO (Financial Industry Business Ontology). 3. Platform Reliability & Operations Advise on backup and restore strategy, High Availability, RPO/RTO and business continuity. Define operational support, capacity planning and monitoring considerations. Establish GraphDB operational best practices for a production-grade enterprise service 4. Security, Governance & Data Controls Define appropriate GraphDB security and governance controls. Address authentication/authorization and enterprise integration requirements. Guide RBAC/ABAC considerations. Support PII/data masking requirements. Establish approaches for end-to-end lineage, metadata and provenance using PROV-O. Define Semantic Knowledge Graph quality controls using SHACL. 5. Business & AI Enablement Translate business use cases through the semantic lifecycle: Business Use Case → Taxonomy / Business Concepts → Ontology → RDF Triples → GraphDB → Application / AI Use Case Advise business and architecture teams on adoption of Knowledge Graph capabilities. Support early use cases, with pensions identified in the thread as an expected early consumer. Help create an approach that can ultimately support semantic capabilities across multiple enterprise domains Required Skills / Experience Strong hands-on expertise in RDF Graph Databases / Semantic Knowledge Graphs. Strong understanding of RDF, triples, ontologies, taxonomy and semantic modelling. Experience defining enterprise ontology governance and lifecycle management. Knowledge of SHACL for Knowledge Graph quality/validation. Understanding of PROV-O for metadata, provenance and lineage. Knowledge of industry ontologies, particularly FIBO, would be valuable. Experience defining graph repository and namespace strategies. Strong understanding of GraphDB performance, scalability and operational considerations. Knowledge of enterprise security including RBAC/ABAC, identity integration and data controls. Ability to work with enterprise architects, data/platform teams and business/domain stakeholders. Preferred / Contextual Skills Experience with Graphwise / GraphDB. Experience deploying or operating GraphDB on OpenShift. Exposure to enter