26 to 50 of 109 Remote Metadata Management Jobs

support to colleagues by offering training or upskilling in integration technologies where appropriate. Stay informed on industry trends and advancements in integration and data management technologies. Key Skills & Experience Required Essential: Bachelors/Post graduate degree. Proven experience in a relevant role, such as Integration Developer, Data Developer … Event Grid, Functions, or Data Factory). Understanding of enterprise integration patterns and familiarity with event-driven architectures. Knowledge of data quality, master data management, or metadata management concepts. Experience working with modern API management platforms. Exposure to Agile frameworks, such as SAFe Agile, Scrum ...

support to colleagues by offering training or upskilling in integration technologies where appropriate. Stay informed on industry trends and advancements in integration and data management technologies. Key Skills & Experience Required Essential: Bachelors/Post graduate degree. Proven experience in a relevant role, such as Integration Developer, Data Developer … Event Grid, Functions, or Data Factory). Understanding of enterprise integration patterns and familiarity with event-driven architectures. Knowledge of data quality, master data management, or metadata management concepts. Experience working with modern API management platforms. Exposure to Agile frameworks, such as SAFe Agile, Scrum ...

concepts and principles of data modelling and produce relevant data models across multiple subject areas. Collaborate with customers on all aspects of data management including the assurance and integration of data services to meet the needs of multiple lines of business. Recognise and exploit business opportunity by leveraging data … clearance dependent upon the security requirements for the role. Who Do We Need? Previous experience as a Data Engineer or a background in Data Management Data Modelling and Database Design Data Platform Modernisation Biometric Data Management and associated legislation Data Science/Analytics Predictive Scaling techniquesData Warehousing & Business ...

maintain data roadmaps aligned with organizational goals and technology strategies. Establish data architecture principles that promote scalability, performance, security, and accessibility. Data Integration & Management Design and develop data integration solutions and pipelines to consolidate data from multiple internal and external sources. Define and implement data flow, transformation, and storage … accuracy, and integrity across platforms. Data Governance & Compliance Partner with business and technology leaders to establish data governance policies and procedures. Define data standards, metadata management practices, and master data management strategies. Ensure compliance with data privacy, security, and regulatory requirements. Support audit and risk management ...

business objectives and measurable outcomes. Data Strategy, Governance & Semantic Technologies: Help clients establish trusted and connected R&D data foundations through governance, master data management, interoperability, metadata management, and modern data architectures. Lead the application of semantic technologies, ontologies, RDF-based knowledge graphs, and common data models … create a shared understanding of scientific, research, preclinical, and clinical information across systems. Enable advanced analytics, scientific knowledge management, intelligent automation, and AI-powered decision support while ensuring compliance, data integrity, traceability, and governance across the R&D landscape. AI & Intelligent R&D: Identify and shape high-value opportunities ...

giving investors the best chance of investment success. The Operations Data Steward is a first-line business role accountable for the day-to-day management, maintenance and governance of data across UK Personal Investor (UKPI) Operations. The role ensures that operational data is accurate, complete, appropriately controlled, compliant … enterprise standards into effective operational practice. The role owns execution of agreed data governance activities across the operational data lifecycle, including data inventory and metadata, critical data elements, lineage, data quality, retention, control evidence and remediation. It provides informed challenge, escalates material risks or non-compliance and drives issues ...

team is over 60,000 strong, with more than 50 offices spanning six continents. For information, visit www.exlservice.com. BU/Segment: Analytics/Data Management/Insurance Domain Location: London, United Kingdom (Hybrid, 3-4 days in the office) Employment Type: Permanent to start ASAP Summary of the role … essential for the role: Insurance industry experience is essential , with a strong understanding of policy, claims, and regulatory data. Minimum of 5 years’ management experience required – leading technical delivery or overseeing project teams within data engineering or integration environments. 8–10 years’ experience in data engineering and integration , ideally ...

experience is essential, with a strong understanding of retail data domains, including customer, product, sales, inventory and supply chain data. Minimum of 5 years' management experience required, leading technical delivery or overseeing project teams within data engineering or integration environments. 8-10 years' experience in data engineering and integration …/CD pipelines. Familiarity with Agile delivery and DevOps practices (Azure DevOps, JIRA, etc.). Preferred Skills & Experience: Knowledge of EDM (Enterprise Data Management) practices, data governance, metadata management and lineage tools. Exposure to multi-cloud environments ( AWS or GCP ). Understanding of modern data architecture methodologies ...

solutions. Your role Define enterprise and solution-level data architectures. Design conceptual, logical and physical data models. Develop data strategies, gvernance frameworks and information management approaches. Design secure and scalable data integration patterns across complex technology landscapes. Produce architecture artefacts aligned to enterprise architecture frameworks and business strategies. Support … Secure Government Data Architecture Practice. About you – Technical expertise Area: Enterprise Data Architecture; Solution Data Architecture; Data Strategy; Information Architecture; Data Modelling; Data Governance; Metadata Management; Master Data Management; Data Quality; Reference Data. Cloud Platforms: Microsoft Azure; AWS; GCP. Modern Data Platforms: Databricks; Microsoft Fabric; PostgreSQL. Data ...

skills, knowledge and experience will you need? Expertise in data architecture design, modelling, patterns, tools and standards. Strong knowledge of data modelling, Master Data Management (MDM), metadata management and data governance. Knowledge of event-driven architectures, including pub-sub and data streaming patterns. Proven track record … data challenges and define solutions that are secure, scalable and aligned with organisational goals. You'll lead the design and development of data models, metadata frameworks and other key data architecture artefacts ensuring data is structured, managed and governed effectively. Your work will support informed decision making and enable ...

skills, knowledge and experience will you need? Expertise in data architecture design, modelling, patterns, tools and standards. Strong knowledge of data modelling, Master Data Management (MDM), metadata management and data governance. Knowledge of event-driven architectures, including pub-sub and data streaming patterns. Proven track record … data challenges and define solutions that are secure, scalable and aligned with organisational goals. You'll lead the design and development of data models, metadata frameworks and other key data architecture artefacts ensuring data is structured, managed and governed effectively. Your work will support informed decision making and enable ...

skills, knowledge and experience will you need? Expertise in data architecture design, modelling, patterns, tools and standards. Strong knowledge of data modelling, Master Data Management (MDM), metadata management and data governance. Knowledge of event-driven architectures, including pub-sub and data streaming patterns. Proven track record … data challenges and define solutions that are secure, scalable and aligned with organisational goals. You'll lead the design and development of data models, metadata frameworks and other key data architecture artefacts ensuring data is structured, managed and governed effectively. Your work will support informed decision making and enable ...

learn every day and help shape a more sustainable future. What you’ll do Privacy Governance: Develop, maintain, and enhance the organisation's Privacy Management Framework ensuring compliance with GDPR, UK data protection, and other global privacy laws. Support Privacy by Design and Default principles across projects and business … governance frameworks, policies, and standards. Drive adoption of governance practices globally, establish data ownership and stewardship models, and facilitate governance forums. Support data quality, metadata, lifecycle, and master data management practices to promote data integrity and trustworthiness. Risk, Compliance & Controls: Design and maintain privacy and data governance controls ...

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 You Will Do Design … have a core foundation on which we can readily build new revenue generating products. Develop and maintain design, naming conventions, dictionaries, lineage and metadata standards, collaborating with data quality teams to ensure models support validation rules. Partner with stakeholders across the business to translate complex data concepts and requirements ...

Role Data Management and Analytics-Data Modelling Experience (In Years) 6-9 Job Location Yorkshire , United Kingdom Job Description EXL (NASDAQ: EXLS) is a global data and AI company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. Bringing together … performance, and contribute to the definition of data modelling standards, automation and testing strategies. Success in this role requires strong technical expertise, excellent stakeholder management skills and the ability to work effectively both independently and within cross-functional teams. We are looking for someone who demonstrates leadership through innovation ...

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 You Will Do Design … have a core foundation on which we can readily build new revenue generating products. Develop and maintain design, naming conventions, dictionaries, lineage and metadata standards, collaborating with data quality teams to ensure models support validation rules. Partner with stakeholders across the business to translate complex data concepts and requirements ...

client, a specialist technology and services business supporting financial services organisations, is seeking an EDM (Enterprise Data Management) Consultant to join its permanent, client-facing delivery function. This UK/EU remote role involves no travel and focuses on helping organisations reconcile, control and trust critical data across complex … operating environments. Working with stakeholders across Operations, Finance and Product Control, Data, Technology and Change, you will design and embed practical enterprise data management capabilities that improve governance, data quality, metadata, lineage and stewardship. Key Responsibilities: Lead discovery and requirements workshops with business and technology stakeholders to understand ...

Design: develop and implement comprehensive data architecture strategies, including logical, physical, and conceptual models, to support the institution's data-driven initiatives. Enterprise Data Management: define and enforce policies for data governance, data quality, metadata management, and master data management to ensure consistency and reliability across … architecture including large language models (LLMs), prompt engineering, and semantic search; data architecture and solution design; cloud data platforms; data modeling and data management standards; data integration and engineering; data governance, quality, and security; privacy and regulatory compliance; stakeholder engagement and communication; and strategic planning. Must have good oral ...

solutions* Lead architecture decisions for cloud and on premises data platforms* Support data warehousing reporting analytics and AIML initiatives* Drive best practices for data management scalability and performance optimization**Your Skills*** Strong experience in Enterprise Data Architecture and Data Strategy.* Expertise in Data Modelling including Conceptual, Logical, and Physical … Data Models.* Strong knowledge of Data Governance, Data Quality, Metadata Management, and Data Lineage.* Experience designing and implementing Data Warehouses, Data Lakes, and Modern Data Platforms.* Strong understanding of ETL/ELT Architecture and Data Integration Frameworks.* Experience with Cloud Data Platforms such as Azure, AWS, or GCP. ...

Machine Learning and Fabric experiences to operationalise models and drive business insights.* Design, monitor and optimise data pipelines and platform performance: Use Fabric capacity management, pipeline monitoring, logging, and operational best practices to improve reliability, throughput, cost, and scalability.* Collaborate with cross-functional teams: Work closely with business analysts … data engineers, data scientists, and platform/DevOps teams to implement secure CI/CD, environment management, and a scalable Fabric workspace and governance model.* Stay ahead of the curve: Continuously learn and adapt to the evolving Microsoft data platform landscape, including ADF, Microsoft Fabric, Synapse, Purview, and related ...

cases. Collaborate with enterprise and solution architects to align solutions with strategic technology standards. Evaluate new technologies and recommend improvements to existing platforms. Data Management and Governance Support implementation of data governance, quality, lineage and metadata management practices. Ensure data assets meet applicable regulatory, audit and control … Strong problem-solving and systems-thinking capability. Ability to balance strategic design with hands-on delivery. Comfortable operating in complex, global organisations. Strong partner management and communication skills. Demonstrated ability to work through ambiguity and drive outcomes. Preferred Experience Finance, Treasury, Tax, FP&A or ERP data domains. ...

cross-functional teams: Work closely with business analysts, data engineers, data scientists, and platform/DevOps teams to implement secure CI/CD, environment management, and scalable multi-account patterns (e.g., landing zones) for governed delivery.* Stay ahead of the curve: Continuously learn and adapt to the evolving … environment separation (dev/test/prod), naming standards, and guardrails that enable secure self-service while maintaining control and consistency.* Support governance and metadata management: Implement data discovery, classification, lineage, and stewardship practices using AWS Glue Data Catalog, AWS Lake* Formation, and aligned standards for trusted, auditable ...

business. Working within the Data Governance team, the role partners with Data Owners, Data Stewards and wider governance functions to embed policies, standards, metadata, lineage, business definitions and data quality practices across all business domains. The role administers and maintains the Data Governance toolset, ensuring metadata, business glossary … content, data ownership, classifications and supporting governance artefacts remain accurate, complete and up to date. It also supports governance forums, working groups, data issue management and reporting, helping projects and business teams understand and evidence compliance with data policies and standards. The ideal candidate is an analytical and detail ...

practices.Implement security-by-design in Snowflake: RBAC, tag-based governance (ABAC), dynamic data masking, row/column-level policies, Tri-Secret/external key management, network policies, Private Link, SSO/OAuth/MFA, audit trails, and access history.Embed data quality, observability, and lineage using Snowflake Horizon Catalog … access history, and data classification.Streaming and CDC patterns (Kafka, Kinesis, Snowpipe Streaming) and event-driven architectures for near real-time use cases.Data governance and metadata management (catalogs, lineage, MDM, data quality frameworks) with familiarity in regulatory regimes (e.g., GDPR/CCPA/HIPAA/PCI-DSS/ ...

with cloud-based data platforms, ideally Microsoft Azure, with exposure to AWS or Google Cloud Platform considered advantageous. Knowledge of data orchestration and workflow management tools, such as Azure Data Factory, to support the efficient movement and transformation of data. Strong understanding of data warehousing concepts, data architecture principles … methodologies, including Git. Proven experience working with Databricks, including data ingestion, transformation and optimisation of large-scale data processing workloads. Understanding of data governance, metadata management and data quality frameworks, including experience with tools such as Great Expectations or similar data validation solutions. Knowledge of Unity Catalog, including ...