126 to 150 of 151 Semantic Layer Jobs in England

lead the strategic vision and hands-on execution of our Object-Centric Data Fabric. You will unify multi-stream clinical datasets with a central semantic layer, leveraging AI-augmented workflows to automate mapping, query optimization, and regulatory documentation. The role focuses on data lake architecture, AI-enabled schema ...

will help evolve SiriusPoint's BI practice from traditional reporting to AI-driven decision intelligence, helping design, build, and govern enterprise analytical datasets, semantic models, and business ontologies that enable scalable self-service analytics and support AI use cases. Leveraging Microsoft Fabric, Power BI, and emerging AI capabilities … Analytical Data Products: Design and develop curated analytical datasets and data products that support enterprise reporting, self-service analytics, and AI consumption. Construct scalable semantic gold-layer datasets from enterprise data platforms. Define business-friendly data structures that abstract technical complexity from business users. Help evolve the practice ...

will define reusable engineering patterns, standards and guardrails that support the adoption of conversation orchestration across multiple channels. You will enable governed metrics, semantic layers and consistent business definitions, ensuring service communications are supported by trusted, well-understood data that can be accessed and used with confidence across … workflows Experience using GitHub (or equivalent) with version control, code reviews, testing and CI/CD practices Strong understanding of data modelling, semantic layers, metrics and data governance principles Experience designing and executing testing, evaluation and quality assurance approaches Proven ability to assess new technologies through proof-of-concepts ...

transformation programmes. What you'll be doing Supporting solution architecture and technical design Building scalable, production-grade data platform Developing data models, pipelines and semantic layers Working directly with clients to understand requirements and shape deli click apply for full job details ...

teams, you’ll identify high-value opportunities, understand user needs and develop solutions that are usable, explainable and measurable. You’ll enable governed metrics, semantic layers and consistent business definitions to ensure conversational experiences are built on trusted, well-understood data. You’ll lead proof-of-concepts for emerging … services through APIs, building automated data, analytics, and AI workflows, and managing technical dependencies within complex enterprise environments Strong understanding of data modelling, semantic layers, business intelligence, analytics, data governance, authentication, and enterprise data flows Experience developing, prototyping, evaluating, and implementing AI, machine learning, or conversational solutions, including testing ...

Ready Data – Partner with dashboard product owners to shape their dashboards into an AI-ready form the agent can query cleanly and reliably. Semantic Layers & Ontologies – Contribute to semantic models (metrics, definitions, and metadata) so a given metric means the same thing everywhere it's asked about, however … make pragmatic trade-offs to deliver value with minimal supervision. What Would Make You Stand Out: Understanding of data modelling concepts, metadata management, or semantic layers. Exposure to conversational AI, LLM-powered tools, or agent-based workflows. Experience with MCP connections. Familiarity with BI platforms (e.g., Qlik, Power ...

Staff Analytics Platform Engineer, you’ll provide technical leadership across the entire analytics platform, from ingestion and transformation tooling to Snowflake architecture, semantic modelling, and secure analytics environments. You’ll define the patterns, standards, and infrastructure that enable analysts, data scientists, and product teams to build reliable, scalable analytics … with you. What you’ll be doing Co‐owning the analytics platform architecture, designing end‐to‐end solutions across Snowflake, ingestion pipelines, dbt infrastructure, semantic layers, and secure analytics environments. Defining and driving the long‐term technical vision for the analytics platform, ensuring it is scalable, cost‐efficient, secure ...

data strategy, requirements and priorities. You will help define and drive the capabilities, patterns and practices needed to make enterprise data AI-ready, including semantic layers, knowledge graphs, and ontologies to ensure trusted, governed and scalable use of enterprise data by AI applications and agents. The successful candidate will … relevant experience across data and AI, including significant experience leading complex enterprise initiatives. Demonstrated experience designing or delivering AI-ready enterprise data capabilities, including semantic layers, knowledge graphs and ontologies. Strong practical understanding of modern AI technologies and architectures, including generative AI, large language models, retrieval approaches and agentic ...

data strategy, requirements and priorities. You will help define and drive the capabilities, patterns and practices needed to make enterprise data AI-ready, including semantic layers, knowledge graphs, and ontologies to ensure trusted, governed and scalable use of enterprise data by AI applications and agents. The successful candidate will … relevant experience across data and AI, including significant experience leading complex enterprise initiatives. Demonstrated experience designing or delivering AI-ready enterprise data capabilities, including semantic layers, knowledge graphs and ontologies. Strong practical understanding of modern AI technologies and architectures, including generative AI, large language models, retrieval approaches and agentic ...

ensure AI use cases are built on the right data foundations. Understand data readiness for AI, including structured data, unstructured data, document ingestion, semantic layers, vector search, permissions and governance. Business Development Support Managing Directors in business development and origination activity across the UK and Europe. Contribute to qualified … Snowflake Cortex, Databricks, Anthropic Claude, OpenAI and related enterprise tooling. Understanding of the data foundations required for AI, including structured data, unstructured data, semantic layers, vector search, permissions and governance. Knowledge of safe and scalable AI delivery, including identity, access, environments, observability, evaluation, auditability and responsible AI controls. Experience ...

Work AI-native from day one: AI coding agents draft models, tests and documentation, while you own definitions, review and quality Own the metrics layer: one tested definition each for ARR, customer retention, realised customer value, touchless rate and cost to serve, with a first version in use within … together with their owners Enable Finance, RevOps, Commercial, Product, Engineering and Services to self-serve, including plain-language analytics on top of the metrics layer, and help choose our analytics tooling Agree definitions with business owners and document them so people and AI tools read them the same ...

strategies, investment cases, roadmaps and measurable business outcomes. Lead teams of consultants, engineers and architects. Provide technical direction across data platforms, AI, GenAI, semantic architectures and agentic solutions. Ensure AI solutions are secure, governed, reliable and suitable for production. Navigate Financial Services regulatory and risk requirements. Lead proposals, RFPs … business development and selling work. Experience engaging senior stakeholders and presenting at governance/board level. Desirable Experience with Databricks, Azure, AWS, GCP, Snowflake, semantic layers, data products, agentic AI architectures and responsible AI in production would be highly beneficial. This is an opportunity for a senior Data ...

Internet of Things. Reply’s services include Consulting, System Integration, and Digital Services. Role Overview: This role focuses on designing and building semantic layers that give organisations a single, shared and machine-readable understanding of their business. You will work across diverse industries, translating complex domains into ontologies … AI. Responsibilities: Facilitate discovery workshops with business and technical stakeholders to understand and model key domains. Design, build, and maintain scalable ontologies, taxonomies, and semantic models that reflect complex business concepts. Develop and operate knowledge graphs end-to-end, including data ingestion, mapping, and entity resolution pipelines. Connect ...

Programme as we replace our BW/BPC landscape with SAP Datasphere and Business Data Cloud (BDC) with SAC as the reporting and planning layer, as part of our S/4HANA transformation. This role is offered as a two-year fixed term contract, running from greenfield platform design … everything is built from scratch, making early design decisions critical. You must be proficient with SAP Datasphere; space design, data flows, replication flows, and semantic modelling. Youll also be charged with developing the standards, documentation, and approach to gathering data requirements. Whilst a big part of the role ...

Management (MDM), Data Quality & Observability, Metadata Management and Data Products as well as supporting organisations adoption of AI including Agentic Data Management, AI Observability, Semantic Layers and Ontologies. We are looking for candidates that have deep experience in one or more core capabilities below and wants … reinventing Data Management & Governance for the AI era. AI Data Management: awareness or experience of areas such as Agentic Data Management, AI Observability, semantic layers, knowledge graphs and ontologies. Data Governance & Strategy: experience supporting the design or implementation of governance frameworks, policies, standards, controls, ownership and stewardship models. Data ...

Management (MDM), Data Quality & Observability, Metadata Management and Data Products as well as supporting organisations adoption of AI including Agentic Data Management, AI Observability, Semantic Layers and Ontologies. We are looking for candidates that have deep experience in one or more core capabilities below and wants … reinventing Data Management & Governance for the AI era. AI Data Management : awareness or experience of areas such as Agentic Data Management, AI Observability, semantic layers, knowledge graphs and ontologies. Data Governance & Strategy : experience supporting the design or implementation of governance frameworks, policies, standards, controls, ownership and stewardship models. Data ...

operate across the front, middle and back office. Key Responsibilities Design and build advanced AI solutions, including agentic AI, RAG, GraphRAG, knowledge graphs and semantic layers. Explore emerging technologies and rapidly test where they could create business value. Build prototypes and experiments with production scalability, maintainability and integration … software development. Experience building with LLMs, agents, RAG and modern AI frameworks. Strong understanding of knowledge graphs, large-scale graph technologies, GraphQL and semantic modelling. Experience taking experimental technologies beyond prototypes towards scalable production solutions. Good understanding of APIs, cloud platforms and enterprise integration. Some understanding of data engineering ...

client-facing insight depends on engineers being able to find, understand, trust, and use financial datasets at scale. DataHub is Bloomberg’s experience layer for data. What GitHub is for code, DataHub is for data: the place where engineers discover datasets, understand schemas, request access, publish streams, subscribe … only a frontend role, and it is not only a backend infrastructure role. The experience is the full journey: the UI, the APIs, the semantic model, the provisioning flow, the feedback loops, the error states, the defaults, the automation, and the reliability of the systems underneath. The next frontier ...

Management (MDM), Data Quality & Observability, Metadata Management and Data Products as well as supporting organisations adoption of AI including Agentic Data Management, AI Observability, Semantic Layers and Ontologies. We are looking for candidates that have deep experience in one or more core capabilities below and wants … reinventing Data Management & Governance for the AI era. AI Data Management: awareness or experience of areas such as Agentic Data Management, AI Observability, semantic layers, knowledge graphs and ontologies. Data Governance & Strategy : experience supporting the design or implementation of governance frameworks, policies, standards, controls, ownership and stewardship models. Data ...

Management (MDM), Data Quality & Observability, Metadata Management and Data Products as well as supporting organisations adoption of AI including Agentic Data Management, AI Observability, Semantic Layers and Ontologies. We are looking for candidates that have deep experience in one or more core capabilities below and wants … reinventing Data Management & Governance for the AI era. AI Data Management: awareness or experience of areas such as Agentic Data Management, AI Observability, semantic layers, knowledge graphs and ontologies. Data Governance & Strategy : experience supporting the design or implementation of governance frameworks, policies, standards, controls, ownership and stewardship models. Data ...

governed interfaces, APIs, and data contracts.* Supporting delivery of Enterprise Data Foundation capabilities, including change-data capture, data ingestion, storage, governance, master data management, semantic and serving layers, APIs, and governed access.* Aligning architecture and technology delivery across initiatives including VFM, Pulse, AI, reporting, fleet management, customer modernization … architecture integration, or modernization programs.* Strong understanding of enterprise data architecture, including data ingestion, governance, canonical data models, master data management, APIs, data contracts, semantic layers, and governed data access.* Experience modernizing legacy technology environments while maintaining business continuity and operational stability.* Demonstrated ability to build and manage integrated ...

governed interfaces, APIs, and data contracts. Supporting delivery of Enterprise Data Foundation capabilities, including change-data capture, data ingestion, storage, governance, master data management, semantic and serving layers, APIs, and governed access. Aligning architecture and technology delivery across initiatives including VFM, Pulse, AI, reporting, fleet management, customer modernization … architecture integration, or modernization programs. Strong understanding of enterprise data architecture, including data ingestion, governance, canonical data models, master data management, APIs, data contracts, semantic layers, and governed data access. Experience modernizing legacy technology environments while maintaining business continuity and operational stability. Demonstrated ability to build and manage integrated ...

foundations that make AI delivery faster, safer and easier to scale. Leading design and delivery teams to build AI-ready data foundations, platforms and semantic layers that provide trusted business context, reusable knowledge assets and reliable access to enterprise information for AI and analytics Designing and embedding engineering capabilities … human decision-makers, while supporting technology and platform decisions. Understanding of the foundations required to build trusted enterprise AI, including cloud data platforms, semantic layers, data products, AI evaluation, security, governance and responsible AI practices. Consulting & Client Leadership: Experience in consulting or client-facing roles, building trusted senior client ...

integrating people, AI agents and business processes across customer, employee and operational experiences. Shape enterprise AI and data foundations, including AI-ready data platforms, semantic layers, data products and trusted knowledge assets, alongside architectures that enable AI agents to securely interact with enterprise systems and processes. Establish responsible … enterprise AI ecosystems such as OpenAI, Google, Anthropic and Microsoft. Experience shaping enterprise AI architectures and AI-ready data foundations, including cloud data platforms, semantic layers, data products, AI evaluation, security, governance and responsible AI. Significant consulting or senior client-facing experience, with the credibility to advise executive ...

chemical markets get intelligence, and this role owns the platform foundations that make it possible. You will define the AI-ready data strategy, semantics layer, and MCP-first distribution approach that powers internal product teams, partner integrations, and AI-native customer experiences. This is a highly influential individual contributor … stakeholders to accelerate adoption, integrations, and commercial opportunities Requirements A track record shipping platform capabilities that others build upon, such as APIs, data products, semantic layers, evaluation frameworks, or comparable platform primitives Experience owning platform strategy, roadmap, and delivery outcomes in data, AI, developer platform, or similarly technical product ...