26 to 34 of 34 Semantic Layer Jobs in England

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 ...

help them access, understand and use data effectively. About You To succeed in this role, you will need advanced experience of Power BI, including semantic models, star schemas, DAX, calculated columns, hierarchies and performance optimisation. You will also be proficient in Power Query Editor and M Language, with experience … Power BI datasets, dataflows, semantic layers and SQL for querying, transforming, testing and validating data from multiple sources. You will bring experience from an analytical or data-focused role, working with large and complex datasets to produce reports, insights and recommendations. Strong analytical, problem-solving and communication skills ...

economics and integration with Pfizer’s enterprise platform standards. Operating‐design safeguards Data Architect operates horizontally across the four Build sub-pillars to protect semantic standards, AI‐ready criteria and data quality. Solution Architect operates horizontally to ensure solutions compose the data foundation, AICL and enterprise platform spine consistently. … ready‐to‐use), including reporting & BI and the knowledge & unstructured squad that underpins retrieval quality for the AI Capability Library (AICL). Own semantic standards, inheritance rules and AI-ready criteria through the Data Architect; run the Collibra dictionary, master & reference data operations and the governance council. Own data ...

economics and integration with Pfizers enterprise platform standards. Operating-design safeguards Data Architect operates horizontally across the four Build sub-pillars to protect semantic standards, AI-ready criteria and data quality. Solution Architect operates horizontally to ensure solutions compose the data foundation, AICL and enterprise platform spine consistently. … ready-to-use), including reporting & BI and the knowledge & unstructured squad that underpins retrieval quality for the AI Capability Library (AICL). Own semantic standards, inheritance rules and AI-ready criteria through the Data Architect; run the Collibra dictionary, master & reference data operations and the governance council. Own data ...

model, master data sources, and integration between Platforms. The role also requires some technical implementation experience, for example in delivering Data Products or a semantic layer.This is a key role as R&D transforms into a Product operating model and drives insight from its data with increasing speed … architecture vision.* Direct how foundational data architecture is set up by driving the adoption of modern data architecture approaches including Data Mesh, Data Products, Semantic Layers, and Knowledge Graphs.* Evaluate emerging data trends and propose innovations to enhance R&D productivity and enable next-generation research solutions* Ensure data ...

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 ...

model, master data sources, and integration between Platforms. The role also requires some technical implementation experience, for example in delivering Data Products or a semantic layer. This is a key role as R&D transforms into a Product operating model and drives insight from its data with increasing speed … architecture vision. Direct how foundational data architecture is set up by driving the adoption of modern data architecture approaches including Data Mesh, Data Products, Semantic Layers, and Knowledge Graphs. Evaluate emerging data trends and propose innovations to enhance R&D productivity and enable next-generation research solutions Ensure data ...

Drive analytics‐wide innovation, identifying practical opportunities created by AI, modern analytics tooling and evolving platform capabilities. Help define and execute our strategy for semantic layers, self‐service analytics and metric governance. Raise technical standards across the analytics community, improving quality, consistency and scalability. Partner with Product, Data, Engineering … Proven track record of influencing stakeholders at all levels and driving meaningful change without relying on formal authority. You have a strong understanding of semantic layers, metric governance, self‐service analytics and modern BI concepts, with a clear point of view on what good looks like. An active explorer ...

Overview This is more than a traditional governance role. As our Data Governance Lead/Director, you will act as a strategic leader and change agent, embedding a modern data culture across the organisation while ...