1 to 25 of 31 Permanent Semantic Layer Jobs in England

Senior Director, Semantic Platform Enablement We're building a connected, end-to-end Enterprise AI engine - uniting data foundations, AI technology, process reinvention, and business-facing AI to accelerate results across the whole value chain. Success depends on being outstanding connectors: you'll actively harness existing capabilities, celebrate … platform (and sponsorship) to make it real! Introduction to role This Senior Director role leads the design and enterprise enablement of AstraZeneca’s semantic platform so data is consistently understood, reliably connected, and reusable by both human and AI consumers. The position establishes the capabilities needed to translate core ...

analytics platforms utilizing: SAP Business Data Cloud (BDC) for unified data ecosystems and business context integration. SAP Datasphere for data modeling, federation, virtualization, and semantic layer development. SAP Analytics Cloud (SAC) for reporting, dashboards, planning, and predictive analytics. SAP BDC Connect and Data Products frameworks. Intelligent Applications … Data Packages. Medallion Architecture patterns leveraging SAP HANA Cloud. AI-enabled analytics and data-driven decision support. Key responsibilities include: Designing analytical, semantic, and business-layer data models aligned with organizational KPIs and reporting requirements. Defining data integration strategies across SAP and non‐SAP environments, including real‐time ...

mapping, validation, and sign‐off. Design and maintain the Cloud SQL unified data model, including the HR to Finance mapping table and the join layer that serves all three reporting lenses – Function, Supervisory Organization, and Job Family – from a single data model. Implement the lineage graph in Cloud … SOAP fallback Unified data model design across HR and Finance systems, lineage graph implementation with REST API publishing, and basis tagging at ingestion DirectQuery semantic layer design, Power BI Embedded integration, and Informatica Preferred Qualifications GCP Professional Data Engineer certification or equivalent demonstrated experience. Exposure to Power ...

cloud data platforms, lakehouse architectures, and analytics ecosystems Lead architecture for data modelling, warehousing, and ETL/ELT pipelines Design and oversee BI and semantic layer architecture (Power BI and similar tools) Define standards for data governance, security, lineage, and data quality Engage senior stakeholders to shape data ...

patient care, operational performance and strategic planning. You will lead on the development and optimisation of SQL Server data warehouse solutions, advanced ETL processes, semantic/tabular data models and modern reporting platforms including Power BI. Working with large and complex healthcare datasets, you will collaborate closely with informatic … designing the underlying data structures that support reporting and analytics across the organisation. This includes developing and maintaining robust fact and dimension models, semantic layers and ETL processes to ensure data is accurate, accessible and fit for analytical use. You will contribute to the ongoing development of the Trusts ...

into scalable, production-grade data, analytics and AI-enabled solutions. KEY ACCOUNTABILITIES Data Product Strategy and Commercial Value Define target-state data products and semantic layers for key Global Markets domains, including client, trade, market, position, risk and reference data. Identify use cases where governed data, analytics and automation … lineage, security and production robustness. Data Modelling, Governance and Controls Work closely with technical and quant teams on domain data modelling, canonical views, silver-layer enterprise views, data catalogues, lineage, metadata and critical data elements. Provide product-owner challenge to ensure data models are fit for business purpose, support ...

standard use cases. Design data ingestion architecture (batch, micro-batch, and streaming) with clear boundaries for system-to-system integration. Define architecture for the semantic layer and self-serve analytics infrastructure. Provide input to data squads for complex data products and support Data Product Managers and Data Engineers … platform roadmap from an architectural perspective, defining how the platform evolves over time (e.g.,SAP BW transition/retirement path, Databricks maturation, Datasphere integration layer decisions). Contribute to enterprise architecture governance forums, representing data platform considerations in broader technology decisions. Provide architectural input to vendor and tooling decisions ...

delivery of high-quality, trusted data products across the business. Key Responsibilities Define and own enterprise-wide data architecture standards, including Data Vault, semantic layer frameworks, star schema modelling patterns, and Snowflake design conventions. Design scalable integration patterns for legacy and modern data sources, ensuring strong governance, reconciliation … identifying efficiencies in data processing, storage, and query execution. Design data structures and architectures that enable AI, GenAI, and advanced analytics use cases, including semantic and metadata-driven solutions. Partner closely with data engineering teams, business stakeholders, and analysts to define data contracts and maintain a consistent, trusted data ...

growth. What the role involves: Designing and building cloud-native data infrastructure that scales Building and maintaining reliable ingestion, transformation and orchestration pipelines Developing semantic models and governed data structures that people can trust Improving data quality, observability and lineage across the platform Contributing to architectural decisions and long … with AWS and modern warehousing tech - Redshift in particular Experience with dbt or similar transformation tooling A good understanding of data modelling, governance and semantic layer design Experience with agentic AI or AI-assisted tooling within data workflows Strong engineering judgement and the ability to balance long term ...

Translate roadmap into phases of discovery, design, implementation, and validation, ensuring each phase has defined deliverables, owners, and timelines Define business logic and semantic layers for Awin's financial and business analytics Collaborate with and serve as the first point of contact for business stakeholders to understand and solve ...

build of Knowledge Graph solutions that transform a client's data architecture within program scope. Directs the design, development, and implementation of AI and semantic solutions, ensuring all the pieces work together seamlessly. Works with project leaders, delivery leads, and client stakeholders to create stand‐out, graph‐powered Data … offerings. Develops strong client relationships and earns the trust of key advisors. Makes the business case for the semantic layer solution recommended to the client. Contributes meaningfully to Accenture sales and pre‐sales efforts. Provides thought leadership on technology trends, new opportunities, innovations, and foreseeable limitations, risks ...

following would be an advantage: SaaS or enterprise data environments Data integration or ETL processes Git or other version control tools Familiarity with semantic layer tools such as Cube or LookM Why Apply? You'll be joining a highly collaborative team where your work directly influences product quality ...

Business to ensure analytics is embedded in every decision Drive "Data as a Product" , owning the evolution of our data models and semantic layer, ensuring teams can reliably self‐serve from high‐quality data products Champion governance and guardrails , establishing rigorous standards for modelling, semantics, testing, and auditability ...

Azure Environment. Key Criteria: Strong knowledge of: Cloud-native data platforms (e.g., lakehouse, warehouse, streaming systems) Modelling approaches (medallion, dimensional, event-driven, semantic layers) Data governance frameworks and metadata tooling Data lineage, cataloguing, discovery, and documentation Data quality and observability tooling Data access/security patterns Skilled in standardisationcreating ...

data architecture across discovery, development, regulatory and operations. You will define the City Plan, establish enterprise data models and promote data mesh, data products, semantic layers and knowledge graphs to accelerate insights. You will collaborate with scientists, engineers and product teams to ensure compliance, scalability and secure data flows. ...

Report Modeller & Developer to join their Finance & Controlling MI team. As a Report Modeller & Developer, you'll design and develop data models, semantic layers, KPIs and reporting solutions that support operational reporting, business insight and strategic decision-making. You'll contribute to the migration from a legacy data warehouse … bring strong experience in data modelling, reporting, and analytics, with expert knowledge of SQL, Databricks, Azure Data Factory and Power BI, including DAX and semantic modelling. You'll have a solid understanding of Azure Data Lake architecture, ETL processes, dimensional modelling and modern reporting principles, with the ability ...

. Set up tracking and monitoring for new launches and changes, and quantify and measure their impact on KPIs. Build and maintain a reporting layer, with automated alerting and root cause analysis that flags when KPIs move unexpectedly and why. Design, run, and interpret experiments, from A/… tests to quasi-experimental methods like difference-in-differences when randomisation not possible. Model robust, trusted data in our dbt and BigQuery layer, safeguarding its quality through testing, documentation, and certification in collaboration with engineering. Create reusable, AI-assisted analytics skills that scale the team's impact and help ...

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 ...

CIBC in London is seeking a Data Product Owner for Global Markets within the Quant Solutions Group. You will define data product strategy, drive semantic layers for client, trade, market and risk data, and champion governed analytics across front-office workflows. You will partner with trading, risk, quants ...

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 ...

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 ...