76 to 100 of 103 Semantic Layer Jobs in England

Codify the firm’s unwritten methods and judgements into the coworkers and playbooks that run at machine speed. Anchor them through the ontology and semantic layers in Celeste so the agents reason the way its own people do. Earn adoption – Lead the actions that earns Celeste’s adoption, from ...

investment to business priorities. Nice to Have Experience in a marketplace, e‐commerce, grocery or retail analytics context. Familiarity with federated data architecture patterns, semantic and metrics layer tooling, or Python for data automation and pipeline work. Exposure to or research of AI for Data, including semantic ...

translation of business requirements into rigorous data structures in collaboration with engineering and domain teamsGuide teams on the design and effective use of semantic data models, including their application to agentic AI solutionsSemantic & Knowledge ModellingIntegrate semantic layers with business glossaries, data catalogues, and lineage toolingDesign and maintain semantic models to support agentic-AI capabilitiesHelp develop ontologies, taxonomies, and controlled vocabularies underpinning enterprise metadata and searchDefine semantic modelling standards and patterns to ensure consistent meaning, interoperability, and AI readiness across data productsGuide and control the creation of data domains that align with the banks underlying capabilitiesData Engineering ...

Codify the firm's unwritten methods and judgements into the coworkers and playbooks that run at machine speed. Anchor them through the ontology and semantic layers in Celeste so the agents reason the way its own people do. Earn adoption – Lead the actions that earns Celeste's adoption, from ...

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 ...

within the CDPJourney Orchestration Data Readiness: Enable event streams, triggers, and monitoring to support accurate, timely customer journeysAnalytics & Dashboarding Enablement: Provide structured datasets and semantic layers for reporting and dashboards, aligned with KPI frameworksData Governance & Quality Assurance: Maintain data quality, lineage, and compliance with GDPR and PII standardsCollaboration & Strategic … across digital, CRM, transactional, and behavioural data; support identity resolution, consent handling, audience activation, journey events, trigger logic, and behavioural signalsBuild data marts and semantic layers for dashboarding and BI tools such as Power BI or Tableau; structure datasets optimised for KPI frameworks, attribution, funnel, and lifecycle analyticsApply data ...

evolving fast. With new tooling changing how we work, we are shifting from building data pipelines to building AI first data products, developing rich semantic and data context layers and empowering self-serve data users. This role leads that work across a defined business domain, directly managing a team … product level, with experience aligning analytics investment to domain prioritiesNice to HaveExperience in a marketplace, e-commerce, grocery or retail analytics contextFamiliarity with semantic and metrics layer tooling, or Python for data automation and pipeline workExposure to AI for Data, including agentic AI methods, semantic layers ...

evolving fast. With new tooling changing how we work, we are shifting from building data pipelines to building AI first data products, developing rich semantic and data context layers and empowering self‐serve data users. This role leads that work across a defined business domain, directly managing a team … with experience aligning analytics investment to domain priorities Nice to Have Experience in a marketplace, e‐commerce, grocery or retail analytics context Familiarity with semantic and metrics layer tooling, or Python for data automation and pipeline work Exposure to AI for Data, including agentic AI methods, semantic ...

role will play a critical part in moving Cluttons towards a fully integrated data environment, combining multiple data sources into a consistent reporting layer and delivering actionable insight to leadership. This is a hands-on leadership role, combining strategic design, technical delivery and stakeholder engagement. You will be positioned … lifecycle management. Lead the implementation and use of Microsoft Fabric as the core data platform. Define and manage data ingestion, transformation, modelling and semantic layers. Ensure compliance with information security and regulatory requirements. Reporting & Insight Deliver a standardised reporting suite covering pipeline, timesheets and financial performance across all business ...

Develop trusted, fact-based insight experiences that minimise AI hallucinations and provide clear, explainable outputs. Partner with data, BI, and technology teams to optimise semantic models for AI readiness. Apply data science, machine learning, NLP, and advanced analytics techniques to enhance insight generation and anomaly detection. Contribute … related field. Proven ability to develop strategy and influence senior stakeholders, including executive-level audiences. Hands-on experience with enterprise data modelling, semantic layers, and business intelligence platforms (Power BI experience highly desirable). Experience working with LLMs, conversational AI, natural language analytics, or generative AI solutions. Deep understanding ...

most strategic new customers to architect and deploy their very first agentic analytics use cases and supporting metrics and dashboards. By building robust semantic data models on top of the Salesforce Data360 and incorporating Agentforce topics and actions, you will transform raw data into actionable, conversational insights. You will … technical design and build of bespoke conversational analytics agents, ensuring they are optimized for accuracy, latency, and user relevance. Design Semantic Data Models: Construct and refine complex semantic data layers within Salesforce Data360 to ensure the AI agent can accurately interpret, query, and visualize enterprise data structure. Accelerate ...

most strategic new customers to architect and deploy their very first agentic analytics use cases and supporting metrics and dashboards. By building robust semantic data models on top of the Salesforce Data360 and incorporating Agentforce topics and actions, you will transform raw data into actionable, conversational insights. You will … technical design and build of bespoke conversational analytics agents, ensuring they are optimized for accuracy, latency, and user relevance.* **Design Semantic Data Models:** Construct and refine complex semantic data layers within Salesforce Data360 to ensure the AI agent can accurately interpret, query, and visualize enterprise data structure.* **Accelerate ...

most strategic new customers to architect and deploy their very first agentic analytics use cases and supporting metrics and dashboards. By building robust semantic data models on top of the Salesforce Data360 and incorporating Agentforce topics and actions, you will transform raw data into actionable, conversational insights. You will … Lead the end-to-end technical design and build of bespoke conversational analytics agents, ensuring they are optimized for accuracy, latency, and user relevance.Design Semantic Data Models: Construct and refine complex semantic data layers within Salesforce Data360 to ensure the AI agent can accurately interpret, query, and visualize ...

intelligence platforms.Develop trusted, fact-based insight experiences that minimise AI hallucinations and provide clear, explainable outputs.Partner with data, BI, and technology teams to optimise semantic models for AI readiness.Apply data science, machine learning, NLP, and advanced analytics techniques to enhance insight generation and anomaly detection.Contribute to the organisation … Applied Analytics, or a related field.Proven ability to develop strategy and influence senior stakeholders, including executive-level audiences.Hands-on experience with enterprise data modelling, semantic layers, and business intelligence platforms (Power BI experience highly desirable).Experience working with LLMs, conversational AI, natural language analytics, or generative AI solutions.Deep understanding ...

patterns and support downstream analyticsContribute hands-on to the development of pipelines, models, and data platform components where requiredDefine how data is exposed through semantic layers and BI tools to ensure consistent metrics and definitionsSupport integration of data across systems, including engineering, test, and enterprise platformsIdentify and reduce fragmentation … data modelling techniques (e.g. dimensional modelling, normalisation, time-series considerations)Familiarity with both structured enterprise data and high-volume time-series data environmentsExperience defining semantic layers, metrics, and data structures for analytics and reportingAbility to balance long-term architectural integrity with short-term delivery needsStrong stakeholder engagement skills, with ...

agentic AI; one substrate, two consumption modes. This role makes the data side of that promise real, meaning every certified data product carries a semantic definition, a data contract, policy and entitlement metadata including agent identity, lineage and observability, and a certification tier. The role operates on a core … data plane compounds in richness with every interaction rather than depending on manual annotation at enterprise scale. Responsible for Certified, versioned data products and semantic models, built in partnership with domain owners and stewards, with certification tiers that agents and BI consumers can both trust. The Asset Registry, lineage ...

future of AI-enabled analytics. Key Responsibilities Design and scale enterprise BI capabilities using Looker and Looker Gemini (GenBI) Develop and optimise LookML models, semantic layers and dashboards Build scalable, reusable BI solutions that enable self-service analytics Work with large, complex datasets to deliver meaningful business insights Drive … solutions within enterprise environments Experience working with cloud data platforms Excellent stakeholder management and communication skills Nice to have: Financial Services experience Experience designing semantic layers and enterprise BI models Passion for AI, GenBI and the future of analytics Deadline for applications is Thursday 6th August at 10:00am. ...

Align product strategy with business value, regulatory needs, and enterprise capabilities.Enterprise Data Product Ownership: Own and evolve end-to-end data products, including datasets, semantic layers, APIs, and AI-enabled capabilities; Ensure products are scalable, reusable, governed, and aligned to enterprise standards; Drive transition from reporting and pipelines … drive product-led transformation.Preferred Qualifications Experience in sustainability, supply chain, or regulated industries.Familiarity with Qlik, Power BI, or similar tools.Experience working with APIs, semantic layers, and modern data architectures.Exposure to Danaher Business System (DBS) or similar continuous improvement frameworks.Join our winning team today. Together, we’ll accelerate the real ...

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 ...

Technical Stack & Requirements: AI/ML Stack: Amazon SageMaker, AWS Bedrock. Design Focus: Vector databases, knowledge graphs, and semantic layers. Databricks: Experience with Databricks and Databricks Genie is highly desirable. Core Mandate: Define the standards for "AI-ready" data curation and direct the integration of AI methodologies into existing … Experience and Financials business logic. Qualifications: 6-8+ years of experience. Strong background in AI/ML design and implementation. Ability to architect semantic layers and knowledge graphs. Experience with GitHub Actions for managing codebases. Required Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence ...

empower self-service data literacy for PMs, design researchers and engineers.Design LLM-ready data foundations for onboarding analytics, including clean business entities, event schemas, semantic definitions, metadata, retrieval-friendly documentation, and evaluation datasets that make data usable by AI systems without losing governance or context.Partnering with your product manager … decomposition, experimentation, causal inference, or product opportunity sizing.Data product ownership: Experience building and owning production-grade analytical assets, such as dbt models, Airflow jobs, semantic layers, metric stores, governed dashboards, or trusted self-serve datasets.LLM-ready data thinking: You understand what makes data usable by AI systems: clean entities ...

lifeDrive 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 ...

role requires 6-8+ years in AI/ML design, strong Python skills, and experience deploying AI on AWS. You will drive semantic layers, vector databases, and knowledge graphs while aligning with business logic and #J-18808-Ljbffr ...