26 to 50 of 68 Conceptual Models Jobs in the UK

business and delivery teams to define data structures, domains, ownership, flows, lineage, authoritative sources and integration dependencies, and to translate these into clear architecture models and documentation. A strong understanding of Microsoft Azure cloud architecture is essential, particularly the relationship between Azure services, enterprise data platforms, applications, integration, identity … maintain data domains, entities, objects, ownership, stewardship, authoritative sources, systems of record, lineage and data flows. Develop conceptual and logical data models in collaboration with Data, IT, Digital, PMO, business and delivery teams. Map relationships between data, business capabilities, processes, applications, integrations and technology components. Develop application ...

accounting and corporate consolidation, financial planning and analysis, accounts payables and receivable, fixed assets, and Management Reporting Experience with governance controls, change management, conceptual data modelling, master data management, data standardization and data quality management Broad knowledge of other Oracle Cloud product sets like ...

providing ongoing technical direction. Collaborate with stakeholders across business, product, and IT to gain buy-in and drive data-driven decisions. Define data models, data flows, metadata standards, and integration patterns. Contribute to data engineering, automation, and infrastructure-as-code practices for delivery at scale. Ensure data security, privacy … compliance, and risk management are embedded in the solution. Produce clear data architecture documentation using standards such as conceptual, logical and physical models, C4, Archimate, and cloud-native diagrams, including high-level designs and relevant data artefacts. Key Experience: Extensive experience in stakeholder engagement and senior-level ...

Essential experience Strong experience as a Data Architect within a large, complex enterprise environment. Hands-on experience producing conceptual and logical data models, data flows and interface designs. Deep knowledge of data governance, data quality, security, metadata, cataloguing and master and reference data management. Experience defining enterprise … implementation. Desirable experience Experience with Azure data technologies such as Databricks, Microsoft Purview or Microsoft Fabric. Knowledge of data product thinking, federated data models or domain-based ownership. Experience with TOGAF, Sparx Enterprise Architect or data standards such as ISO 20022, FIBO or SDMX. In return, you can expect ...

deliver value to our customers and they can be readily maintained and enhanced. This encompasses the design and architecture of logical and physical data models and schemas, data transport mechanisms, metadata management, lineage management, API schema design and enabling SIX financial information to be accessible to AI agents. What … Will Do Design, develop and maintain the technology-agnostic, business-aligned canonical/conceptual data models for Financial Information, defining class definitions, standards and association semantics. Provide data architecture expertise to all delivery teams to ensure we build data products that meet customer expectations, can be readily ...

deliver value to our customers and they can be readily maintained and enhanced. This encompasses the design and architecture of logical and physical data models and schemas, data transport mechanisms, metadata management, lineage management, API schema design and enabling SIX financial information to be accessible to AI agents. What … Will Do Design, develop and maintain the technology-agnostic, business-aligned canonical/conceptual data models for Financial Information, defining class definitions, standards and association semantics. Provide data architecture expertise to all delivery teams to ensure we build data products that meet customer expectations, can be readily ...

approached in a consistent way, resulting in consistent and scalable solutions. Work with stakeholders to draw out conceptual and logical data models to describe the key concepts in the AXIS data estate. Ensure that these models are then utilised in the implementation of new systems … least 3-4 years of experience in data related design and/or build work. The ideal experience would be working with data models and enterprise data lake/warehouse initiatives but a background in Software Engineering would also be useful. Experience in data analysis, data integration and data ...

services environment. Role Overview We are looking for a hands-on Lead Data Analyst/Data Modeller to define, build and govern canonical data models that will underpin a modern cloud-based data platform. This is not a pure reporting analyst role. The role requires someone who can understand … standardises data across clients, schemes, source systems, processes and downstream outputs. Key Responsibilities Canonical Data Modelling Lead the design and development of canonical data models for a modern financial services data platform. Define conceptual, logical and physical data structures across key business entities, including clients, schemes, members ...

We are looking for a strategic and outcome-driven Product Manager to define, build, and scale our portfolio of high-impact data products. Sitting at the intersection of business strategy, data engineering, and technology, you ...

owners and scientific teams to embed data standards and governance at the point of data creation. Define scalable conceptual and logical data models that support research, scientific and business use cases. Design and deliver reusable domain data products supporting strategic programmes and AI initiatives. Promote FAIR data … closely related field. Experience establishing enterprise data foundations, including metadata management, ontology management and data governance. Experience designing conceptual and logical data models in complex enterprise environments. Experience working with research , scientific or life sciences data is highly desirable. Experience implementing AI-enabled approaches for metadata management ...

owners and scientific teams to embed data standards and governance at the point of data creation. Define scalable conceptual and logical data models that support research, scientific and business use cases. Design and deliver reusable domain data products supporting strategic programmes and AI initiatives. Promote FAIR data … closely related field. Experience establishing enterprise data foundations, including metadata management, ontology management and data governance. Experience designing conceptual and logical data models in complex enterprise environments. Experience working with research, scientific or life sciences data is highly desirable. Experience implementing AI-enabled approaches for metadata management ...

important commercial decisions: how tickets are priced, where marketing investment goes, how demand is forecast and how shows are traded. You will define the models, definitions, keys, and data contracts those decisions depend on, so that pricing, marketing measurement, forecasting, and trading are built once … same numbers. You will work towards a single, coherent target state for commercial data: consistent models, definitions and contracts across systems and markets. You will evolve that architecture alongside live delivery, ensuring each design decision either moves ATG towards the target state or is a deliberate, documented exception with ...

years of experience in a Software Engineering background. Experience in the design & implementation of end-to-end data and application architectures. Experience in conceptual, logical and physical modelling. Experience in the design & implementation of complex, large-scale distributed systems. Experience in analysing and implementing solutions to meet both ...

/logical/physical data modelling, master data management, and domain‐oriented governance. Proven track record reconciling semantically divergent source systems into canonical models across multiple products. Strong grounding in Lakehouse architecture trade‐offs: table formats, query engines, ingestion patterns (Iceberg vs Delta; Dremio vs Trino vs Snowflake … Streaming, or equivalent) SQL and query optimisation at scale Data and table formats (Parquet, Avro, Apache Iceberg or Delta Lake) Experience designing SaaS data models, tenant isolation, shared schemas, access patterns, at scale. Ability to communicate architecture decisions to engineers, product leadership, and executives. Strongly preferred Market data, financial ...

Work with Data: Data analysis to document business requirements at the right level, draw meaningful insights, and visualize conceptual and logical data models and flows. Collaborate with various teams and application owners to unify data concepts across finance applications across Citi. Stay ahead of AI. This space … ideas back to the team, and actively applies what they're learning to the products we build. If you've been experimenting with new models, new tooling, or new patterns, that's exactly the kind of thinking we want in the room. Appropriately assess risk and impact when business ...

driven decision-making. What You’ll Be Doing Architecting Advanced Data Solutions Shape End-to-End Data Architectures: Define conceptual and logical models for data lakes, warehouses, and hybrid deployments (AWS, Azure/Fabric), aligning with key performance and cost objectives. Embed Automation & Monitor: Reduce complexity … terabytes of data daily. Driving AI & ML Initiatives: Champion LLMOps & MLOps Strategy, set the architectural framework for building, training, and deploying AI/ML models with automation and regulatory compliance in mind. Enhance Operational Efficiency by overseeing end-to-end workflows (model improvement, versioning, monitoring) to support real-time ...

pivotal role will involve: Working with Enterprise Architects as a trusted Data expert to set data architecture direction for Carnival UK - defining the standards, models and principles for how data is structured, integrated and managed across the estate, and maintaining a clear, practical view of the target data landscape … reach it. Ensure the practical governance of our Enterprise Data Model, guiding alignment between Conceptual, Logical (enterprise canonical) and appropriate physical data models Ensure consistent and secure data design by aligning solution and infrastructure designs, reviewing design proposals, embedding repeatable patterns, and engineering integrations for resilience ...

pivotal role will involve: Working with Enterprise Architects as a trusted Data expert to set data architecture direction for Carnival UK - defining the standards, models and principles for how data is structured, integrated and managed across the estate, and maintaining a clear, practical view of the target data landscape … reach it. Ensure the practical governance of our Enterprise Data Model, guiding alignment between Conceptual, Logical (enterprise canonical) and appropriate physical data models Ensure consistent and secure data design by aligning solution and infrastructure designs, reviewing design proposals, embedding repeatable patterns, and engineering integrations for resilience ...

lead data engineers Build and maintain high‐quality data pipelines using Databricks & Spark Convert requirements into clear technical designs and conceptual data models Ingest large, complex datasets and automate manual processes Improve data quality, observability, reliability, and delivery performance Champion a build‐once‐consume‐many culture across … data engineering or software engineering with a strong data focus Experience building production‐grade pipelines on Azure Strong SQL and experience with analytical data models/data warehousing Proficiency in Python (Scala a bonus) Experience delivering enterprise‐grade data products used by multiple teams Ability to communicate clearly with ...

between applications and data. Design the future state - Create practical future-state systems data architecture, data flows and conceptual and logical data models that support the required business outcomes. Define how systems should interact - Set out data structures, relationships, interfaces and integration approaches, making it clear … validate the architecture and adapt the design pragmatically where necessary. Keep the design clear and current - Maintain current-state and future-state diagrams, models, key decisions and dependencies so teams have an accurate and usable view of the solution. What we’re looking for 5+ years of professional experience ...

seeking an Information Architect to lead enterprise data architecture across Commerce, Manufacturing and Supply Chain. You will design conceptual and logical data models, establish information blueprints, and shape data product interfaces for analytics and AI innovations. In this flexible hybrid role based in London, you’ll guide ...

Senior Data Architect, you will design and build leading-edge data solutions and models. You will be the custodian of our data models, working closely with engineering teams to shape and design new products and services that fit into an overall data architecture for your area. Working in agile … stakeholders, to ensure the best data solutions are delivered across domains. Triaging new requirements, providing impact assessments and appropriate efforts & sizing for amending data models in line with solution designs and requirements. Developing and enhancing logical & physical data models in line with new requirements as the custodian. Defining ...

Investment Services Investment Management Wealth Alpha platform Global Markets Control functions (Finance, Risk, Compliance, Operations, etc.) Build deep understanding of: Business processes Domain data models Data usage and dependencies Translate domain complexity into standardized enterprise data models and structures Enterprise Data Domains & Modeling Define and standardize: Enterprise data … domains and sub‐domains Domain ownership boundaries Conceptual and logical data models Ensure consistency and interoperability across domains Enable domain‐oriented architecture aligned to modern principles (e.g., data products and reuse‐first design) Reusable Data Assets & Enterprise Definitions Lead identification and standardization of reusable data assets across ...

Intelligence practice. This role is ideal for a professional with deep expertise across multiple industries, skilled in developing conceptual and logical data models, designing architectural frameworks, and shaping high-level operating models and governance standards for enterprise-wide Data Architecture. The Lead Enterprise Data Architect will … leads with pre-sales activities. Deliver end-to-end Data Architecture projects across on-premises, cloud, and hybrid environments. Define, develop, and manage data models and frameworks. Lead and mentor architecture teams, including onshore, nearshore, and offshore resources. Align business, technology, and data architectures to deliver strategic outcomes. Engage ...

month) Contract Type: Contract Duration: 06 months initial Rate: £500-545 per day Inside IR35 MANDATORY - 5 Years UK Residency Experience in conceptual data modelling logical data modelling entity-relationship modelling Ability to define entities attributes relationships cardinality Experience modelling complex domains with many-to-many relationships hierarchical … documentation legacy systems Identify inconsistencies, gaps and duplication across data sources Define entities, relationships and semantics across domains Translate unstructured understanding into structured artefacts (models, diagrams, definitions) Develop conceptual and logical data models to underpin knowledge graphs Support the creation of ontology and taxonomy models ...