326 to 350 of 387 Remote/Hybrid Metadata Jobs

scrums ceremonies Work closely with engineering, data, and AI teams to clarify requirements, unblock delivery, and ensure platform quality Define and enforce governed taxonomies, metadata models, and ontologies to ensure findability, consistency, and AI-readiness across knowledge assets Establish data contracts between knowledge producers and consumers, capturing lineage, quality standards … Agile delivery model Demonstrated experience defining and delivering enterprise data or knowledge management solutions at scale, including taxonomy design, information architecture, and metadata governance Strong Agile delivery discipline: proven ability to manage complex backlogs, write effective user stories, and lead cross-functional delivery teams Experience working in a regulated industry ...

reviews and compliance activities. Experience implementing Responsible AI principles, governance frameworks or model risk controls. You’ll Also Have Strong understanding of data quality, metadata, lineage and data lifecycle management. Knowledge of governance technologies including data catalogues, metadata and data quality platforms. Excellent stakeholder management and communication skills. The ability ...

effectively, aligns with Group standards and regulatory requirements, and is fit for purpose throughout its lifecycle. Initially, you'll have a particular focus on metadata, improving data governance, controls and risk management while ensuring compliance with Group policies and regulatory requirements. You'll work with teams across … while helping shape the future of data management, including the adoption of AI-enabled solutions. What You'll Be Doing Lead the delivery of metadata-related initiatives to meet regulatory obligations, including task management of a small team of colleagues based in India. Investigate data-related issues, identifying root causes ...

governed effectively, aligns with Group standards and regulatory requirements, and is fit for purpose throughout its lifecycle.Initially, you'll have a particular focus on metadata, improving data governance, controls and risk management while ensuring compliance with Group policies and regulatory requirements. You'll work with teams across … regulation while helping shape the future of data management, including the adoption of AI-enabled solutions.What You'll Be DoingLead the delivery of metadata-related initiatives to meet regulatory obligations, including task management of a small team of colleagues based in India.Investigate data-related issues, identifying root causes, dependencies, risks ...

governed effectively, aligns with Group standards and regulatory requirements, and is fit for purpose throughout its lifecycle.Initially, you'll have a particular focus on metadata, improving data governance, controls and risk management while ensuring compliance with Group policies and regulatory requirements. You'll work with teams across … regulation while helping shape the future of data management, including the adoption of AI-enabled solutions.What You'll Be DoingLead the delivery of metadata-related initiatives to meet regulatory obligations, including task management of a small team of colleagues based in India.Investigate data-related issues, identifying root causes, dependencies, risks ...

Produce data quality dashboards, scorecards and management information; source, validate and map Critical Data Elements (CDEs) Support data lineage, mapping, process validation, control testing, metadata reviews and data quality assessments Investigate data quality issues, identify root causes and support sustainable remediation Document end-to-end data processes, flows, controls, operating … Partners to design, document and embed proportionate controls that mitigate European Data Governance Key Risk Drivers. Maintain business glossary, data dictionary, CDE, ownership and metadata records in Collibra and related repositories Maintain roadmaps, plans, RAID logs and status reporting across multiple workstreams; facilitate workshops and translate complex concepts into clear ...

areaProduce data quality dashboards, scorecards and management information; source, validate and map Critical Data Elements (CDEs)Support data lineage, mapping, process validation, control testing, metadata reviews and data quality assessmentsInvestigate data quality issues, identify root causes and support sustainable remediationDocument end-to-end data processes, flows, controls, operating procedures … Partners to design, document and embed proportionate controls that mitigate European Data Governance Key Risk Drivers. Maintain business glossary, data dictionary, CDE, ownership and metadata records in Collibra and related repositoriesMaintain roadmaps, plans, RAID logs and status reporting across multiple workstreams; facilitate workshops and translate complex concepts into clear business ...

global organisation.What you'll doDesign, develop, and optimize complex, high-performance ETL applications using the full Ab Initio tool kit (GDE, Control Centre, Metadata Hub) to meet business and functional requirements.Collaborate closely with business users, financial analysts, and cross-functional technology teams to understand requirements, provide effort estimates, and ensure … experience in a Banking or Financial Technology environment.Extensive, hands-on experience developing complex ETL applications using the Ab Initio tool kit (GDE, Control Centre, Metadata Hub, etc.).Deep expertise in RDBMS (preferably Oracle) and the ability to write advanced SQL to analyse and resolve complex data issues.Strong proficiency in UNIX ...

prior project experience where they led or contributed to data management initiatives - e.g., data catalogue implementation, data lineage mapping, master data consolidation, data quality, metadata management. Experience defining and operationalising data stewardship roles and responsibilities within federated or centralised data governance models. Desirable Experience in AI‐related data preparation, data … have experience in one of the following roles: analyst, data engineer, data architect and specialists that have expertise in areas such as metadata management and master data management. What You’ll Love About Working Here As a Consultant/Senior Consultant, you will have the chance to shape responsible ...

prior project experience where they led or contributed to data management initiatives – e.g., data catalogue implementation, data lineage mapping, master data consolidation, data quality, metadata management . Experience defining and operationalising data stewardship roles and responsibilities within federated or centralised data governance models. Desirable Experience in AI-related data preparation … have experience in one of the following roles: analyst, data engineer, data architect and specialists that have expertise in areas such as metadata management and master data management. What You’ll Love About Working Here As a Consultant/Senior Consultant, you will have the chance to shape responsible ...

over the lifecycle of corporate data assets Using categories of products that can be used to collect, integrate, store, visualise and govern data and metadata Define metadata to provide search ability and governance (including Records Management) for unstructured data. Not only will your team be directly making a huge impact ...

firm’s broader knowledge and technology strategy.What you will be responsible forKnowledge engineering across the Client and Legal Knowledge portfolio:Design knowledge models, metadata approaches and content structures that support search, AI retrieval, product development and reuse across the Client and Legal Knowledge portfolio.Work with Knowledge Lawyers, client knowledge colleagues … colleagues to identify repeatable workflows, common questions and opportunities for standardisation.Ensure knowledge assets are aligned with firm standards, relevant governance requirements and agreed content, metadata and taxonomy principles.AI-enabled knowledge solutions:Support the development of AI-enabled knowledge experiences grounded in trusted firm content. Help design retrieval, prompt and workflow ...

framework, policies and standards Establish clear data ownership and stewardship responsibilities Introduce practical data quality controls, measures and remediation processes Improve the management of metadata, data definitions, business glossaries and lineage Work with technology and data teams to build governance into new platforms and processes Support major data migration … experience Proven experience delivering data governance or enterprise data management initiatives Strong understanding of data ownership, stewardship and data quality Experience working with metadata, lineage and business glossaries Knowledge of an established data management framework, such as DAMA-DMBOK Experience working with senior business and technical stakeholders An understanding ...

operationalised at scale Improve data interoperability, integration, reuse and the overall flow of data across the organisation Establish and document data lineage, metadata and architectural standards Build privacy and responsible AI considerations into data architecture Work with senior stakeholders across Product, Data and Technology to make architectural decisions and gain … technologies and the data architecture needed to support them Experience working closely with Data Engineering, Data Science and Product teams Understanding of data governance, metadata, lineage and privacy The ability to influence senior stakeholders and explain complex architecture in straightforward business terms A pragmatic approach to architecture, with a track ...

operationalised at scale Improve data interoperability, integration, reuse and the overall flow of data across the organisation Establish and document data lineage, metadata and architectural standards Build privacy and responsible AI considerations into data architecture Work with senior stakeholders across Product, Data and Technology to make architectural decisions and gain … technologies and the data architecture needed to support them Experience working closely with Data Engineering, Data Science and Product teams Understanding of data governance, metadata, lineage and privacy The ability to influence senior stakeholders and explain complex architecture in straightforward business terms A pragmatic approach to architecture, with a track ...

defining and leading data governance initiatives in regulated environments such as financial services or insurance. Excellent understanding of data management principles including data quality, metadata, lineage, classification, and stewardship. In-depth knowledge of regulatory frameworks, such as GDPR, and other data protection acts. Experience with Azure Purview, or similar data … governance and metadata tools. Exceptional communication, presentation, and interpersonal skills to articulate complex data concepts to both technical and non-technical audiences. Strong analytical and problem-solving abilities with a keen attention to detail. Must be able to interpret and report on complex data and technical information. Proven ability ...

data is processed at Focal, and shape what that path becomes: from the imports that bring a retailer's planograms, inventory and store metadata into our platform, through the pipelines that turn them into signal, to the metrics and reports their head office acts on. You will work with data … reports say, and set the priorities where the two ends pull against each other Own how customer data gets into Focal: imports, planograms, store metadata, cut-off configuration, and the chain-specific flows each retailer needs Own what comes out and whether anyone acts on it: the metrics, the reporting ...

practical knowledge‐management approach that captures, organises and scrutinises information about our grantees, cohorts, teams, partners and priority topics. You will define common structures, metadata, ownership and quality standards so that information can be found, understood and reused. You will make it easier to respond to donor and stakeholder queries … internal and external sources to monitor organisations and wider market trends. Experience designing or improving knowledge‐management systems and practices, including taxonomy, metadata, information governance, searchability, quality assurance and adoption by users. Ability to work with both quantitative and qualitative information, identify limitations and inconsistencies, and communicate what the evidence ...

practical knowledge-management approach that captures, organises and scrutinises information about our grantees, cohorts, teams, partners and priority topics. You will define common structures, metadata, ownership and quality standards so that information can be found, understood and reused. You will make it easier to respond to donor and stakeholder queries … internal and external sources to monitor organisations and wider market trends. Experience designing or improving knowledge-management systems and practices, including taxonomy, metadata, information governance, searchability, quality assurance and adoption by users. Ability to work with both quantitative and qualitative information, identify limitations and inconsistencies, and communicate what the evidence ...

strategy, target architecture, and implementation roadmap. Lead the design of enterprise-scale content and platform architectures. Provide expert guidance on content migration, governance, taxonomy, metadata, and content modelling. Support multi-vendor delivery teams, providing architectural leadership throughout the programme lifecycle. Facilitate workshops, design reviews, and architecture governance forums. Advise … scale website transformation, migration, or consolidation programmes. Strong understanding of headless CMS architectures and modern digital platforms. Experience designing content governance frameworks, taxonomy structures, metadata models, and publishing processes. Excellent stakeholder management, consulting, and technical leadership skills. Ability to translate business requirements into scalable digital architecture solutions. Desirable Experience Healthcare ...

strategy, target architecture, and implementation roadmap. Lead the design of enterprise-scale content and platform architectures. Provide expert guidance on content migration, governance, taxonomy, metadata, and content modelling. Support multi-vendor delivery teams, providing architectural leadership throughout the programme lifecycle. Facilitate workshops, design reviews, and architecture governance forums. Advise … scale website transformation, migration, or consolidation programmes. Strong understanding of headless CMS architectures and modern digital platforms. Experience designing content governance frameworks, taxonomy structures, metadata models, and publishing processes. Excellent stakeholder management, consulting, and technical leadership skills. Ability to translate business requirements into scalable digital architecture solutions. Desirable Experience Healthcare ...

Fabric architecture Define architecture roadmaps, standards, governance and best practices Lead data integration and interoperability strategies across multiple environments Design scalable data processing, storage, metadata and governance solutions Establish architecture patterns and technical guardrails for engineering teams Lead architectural assurance and governance activities Support secure deployments across cloud, hybrid … Data Platform Engineering Experience owning architecture across complex enterprise programmes Knowledge of cloud, on‐prem and hybrid infrastructure environments Experience with data governance, metadata, lineage and lifecycle management Understanding of scalable integration patterns, APIs and event‐driven architectures Experience leading multidisciplinary engineering teams Strong stakeholder communication and technical leadership skills ...

data is structured, contextualised and aligned to the Enterprise Data Model-so it's reusable across the organisation Create clear standards for data products (metadata, schema definitions, quality rules, lineage, refresh requirements, ownership, stewardship and version control) Develop modelling and normalisation patterns for time-series, event, alarm, measurement and file … align delivery with governance What you'll bring: Strong enterprise data architecture experience, including conceptual, logical and canonical data modelling Proven capability in metadata, lineage management, source-to-target mapping and data quality Experience designing reusable data products with standards and governance frameworks Ability to translate fragmented OT source structures ...

data is structured, contextualised and aligned to the Enterprise Data Model-so it's reusable across the organisation * Create clear standards for data products (metadata, schema definitions, quality rules, lineage, refresh requirements, ownership, stewardship and version control) * Develop modelling and normalisation patterns for time-series, event, alarm, measurement and file … align delivery with governance What you'll bring: * Strong enterprise data architecture experience, including conceptual, logical and canonical data modelling * Proven capability in metadata, lineage management, source-to-target mapping and data quality * Experience designing reusable data products with standards and governance frameworks * Ability to translate fragmented OT source structures ...

future structured regulatory submissions. Working across Description, Control and future SPQS domains, the role will translate Domain Owner decisions into practical standards, stewardship processes, metadata requirements, controlled vocabularies and data quality controls. The role will work across R&D, Global Supply Chain, Regulatory and Quality organisations to establish sustainable data … Global Supply Chain, Regulatory and Quality organisations. Translate Domain Owner decisions into operational standards, stewardship processes, controls and governance practices. Establish and maintain metadata standards, controlled vocabularies, business definitions and reference data structures supporting SPQS and future structured submissions. Drive data quality management processes, metrics, issue resolution and continuous improvement ...