26 to 28 of 28 Semantic Layer Jobs

Head of Knowledge Graph & AI Innovation

Hiring Organisation
Jobleads-UK
Location
Greater London, England, United Kingdom
senior Knowledge Graph leader to own end‐to‐end KG solutions for complex client programs. You will design, implement, and scale AI and semantic layers, guiding cross‐functional teams and engaging senior client stakeholders to shape strategic offerings. You will drive innovation in ontology design, KG curation, and data ...

AI & Automation Architect

Hiring Organisation
Jobleads-UK
Location
Greater London, England, United Kingdom
Microsoft 365, Azure services, APIs, enterprise applications, data platforms and line‐of‐business systems Working knowledge of data and analytics concepts, including data quality, semantic layers, metadata, enterprise search and data readiness for AI use cases Experience shaping AI roadmaps, use case backlogs, reference architectures, reusable patterns and delivery … Automate, Power Apps, Dataverse, connectors or AI Builder where these support AI‐enabled workflow automation Experience with Microsoft Purview, Microsoft Fabric, Databricks, vector databases, semantic search or wider enterprise data and governance platforms Experience with AI evaluation, red‐teaming, model monitoring, content safety, LLMOps, GenAIOps or production support ...

Senior Vice President, Product Enablement — Product Practice

Hiring Organisation
Jobleads-UK
Location
Greater London, England, United Kingdom
measurement standards. Build and oversee a product data and metrics capability that enables consistent KPI/OKR definition, metric governance (definitions, owners, calculation logic), semantic layers, dashboarding, reporting automation, and actionable performance insights across the product portfolio. Build and mature product analytics tooling (dashboards, self-service reporting, metric semantic … context and capabilities across teams. Demonstrated technical fluency in product analytics and reporting (e.g., SQL, KPI/metric design, dashboard development, data modeling/semantic layers, and instrumentation concepts) sufficient to partner effectively with data and engineering teams. Familiarity with AI/ML-enabled tools and practical applications that ...