1 to 25 of 42 Conceptual Models Jobs in London

able to understand business problems and translate them into robust, efficient and well-governed data designs, including conceptual, logical and physical data models, while owning and maintaining data modelling standards and architecture principles. You should be comfortable collaborating in project teams and cross-departmental squads including business … artefacts, shaping solution designs and working closely with delivery teams to implement robust data solutions. Responsibilities Define conceptual, logical and physical data models, information models and associated data dictionaries to meet enterprise and delivery-specific requirements. Own the end-to-end architecture of the enterprise Lakehouse ...

London office The role The Information Architect will be responsible for D&A data architecture, designing conceptual and logical data models that guide Commerce, Finance, Manufacturing, Supply Chain, Merchandising, Consumer and other data transformations at Pandora. In this architecture role, you will define D&A-wide data … models, create conceptual data architectures, create naming standards, and establish information blueprints that engineering teams loves and implements. Working across our commerce, manufacturing, and supply chain operations spanning our clusters and markets, you will ensure our data architecture makes information accessible and trustworthy for both analytical insights ...

experience in enterprise data architecture, cloud data engineering and large-scale platform design within complex environments. Deep knowledge of data modelling practices, including conceptual, logical and physical modelling, with experience designing architectures that support analytics and AI use cases. Hands-on experience with cloud ecosystems (AWS, Azure ...

coherence and momentum. You will be a storyteller as much as a modeller and be able to move between capability maps, value streams, service models and delivery backlogs , helping senior leaders, delivery teams and frontline services pull in the same direction. You will work as part of multi‐disciplinary … have the following responsibilities: Lead and contribute to business architecture and operating‐model work across discovery, design and delivery phases Develop and maintain capability models, value streams, service maps, operating models and transformation roadmaps Translate complex organisational and delivery challenges into clear, structured, decision‐ready artefacts Work with ...

complex, diverse enterprise environments. Strong data management foundations — relational databases, data warehouses and lakes — with an advanced level of SQL. Strong logical/conceptual data modelling and solution design skills. Experience with cloud platforms (AWS, Azure, or GCP). Exposure/experience in XML and SOAP/REST ...

data sources to ensure seamless data flow across the organisation. Support data platform teams: Work with data platform teams to design and implement operating models that support efficient data processing, integrations, reporting and AI model deployment and execution. Data modelling: Design and develop data models that support business … Azure, GCP or AWS. Skills: Exceptional analytical and problem-solving skills with the ability to design innovative solutions to complex data challenges. Data Modelling (Conceptual, Logical, Physical), Data Warehousing, Data Lakes, Data Mesh, Data Governance, Metadata Management, Master Data Management. Skilled in leading the lifecycle of production-grade ...

managed across the organisation. The role Own current and target-state Data Architecture across business areas and domains. Define data domains, flows and conceptual/logical data models. Work closely with senior business and technology stakeholders. Support Data Governance, architecture standards and frameworks. Contribute to significant transformation programmes ...

leading European industrial groups in sectors such as Telco & Media, Industry and Services, Banking and Insurance, and Public Administration, helping define and develop business models enabled by new paradigms such as AI, Cloud Computing, Digital Media, and the Internet of Things.Reply’sservices include Consulting, System Integration, and Digital Services. … mentoring, certifications and exposure to diverse clients and sectors. Responsibilities: Design end-to-end solution and integration architectures, from high-level conceptual models through to detailed technical designs across cloud, hybrid and on-premise environments. Lead the architecture and design of Salesforce-based solutions (e.g. Sales Cloud ...

months. What you'll be doing: Define the target data architecture for enterprise OT asset data products, including logical/conceptual models and canonical structures Ensure electricity transmission asset data is structured, contextualised and aligned to the Enterprise Data Model-so it's reusable across the organisation … data quality Experience designing reusable data products with standards and governance frameworks Ability to translate fragmented OT source structures into business-meaningful, consistent models Confidence collaborating across architecture, engineering, operations and data teams-communicating clearly to technical and non-technical stakeholders Comfort operating in ambiguity, shaping practical solutions ...

months. What you'll be doing: * Define the target data architecture for enterprise OT asset data products, including logical/conceptual models and canonical structures * Ensure electricity transmission asset data is structured, contextualised and aligned to the Enterprise Data Model-so it's reusable across the organisation … data quality * Experience designing reusable data products with standards and governance frameworks * Ability to translate fragmented OT source structures into business-meaningful, consistent models * Confidence collaborating across architecture, engineering, operations and data teams-communicating clearly to technical and non-technical stakeholders * Comfort operating in ambiguity, shaping practical solutions ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...