576 to 600 of 675 Metadata Jobs

integration between systems. Integrate data from REST APIs and other source systems, working with Parquet and S3-compatible object storage. Implement data validation, assurance, metadata management and traceability to ensure data is accurate, complete and fit for purpose. Develop tools for data-driven insights and task automation, and research …/CD practices and pipelines. Experience developing Data contracts or Interface Control Documents (ICDs). Experience with data validation and assurance. Experience with metadata management, lineage and traceability. Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering ...

Farnborough, where innovation meets strategy in groundbreaking technology initiatives. Key Responsibilities: Leading the Data Fabric architecture end-to-end: including integration, processing, storage, metadata/lineage, governance and consumption patterns Establishing and maintaining the architecture roadmap, encompassing technology evolution, capability increments and deployment waves across environments Directing architecture for data … architecture through strategic roadmaps, standards, patterns, and governance Proficient knowledge of on-premises, cloud, and hybrid platforms with a deep understanding of data governance, metadata, lineage, data quality, stewardship, and lifecycle management Experience designing and governing architectures for constrained or mission-critical environments, including edge deployments and contested connectivity patterns ...

SFIA L4 - Enable) Deliver data governance workstreams: policies & standards, roles & RACI, stewardship models, data issue management, and data quality measurement & remediation. Design and implement metadata & cataloguing (business glossary, lineage capture, classification & sensitivity labels) using client-standard platforms. Contribute to AI assurance across the lifecycle: Training data readiness (provenance, quality, representativeness … bring (Essential) Proven experience in data governance delivery, including: Policy & standards, stewardship models, RACI, decision forums. Data quality (dimensions, rules, scorecards, monitoring, remediation). Metadata & catalogue adoption (business glossary, lineage, classification & sensitivity). Privacy & protection in data handling (e.g., DPIAs, retention, access control, auditability). Practical understanding of AI assurance ...

support data management efforts with business owners and technical teams. This role will support one or more information management functions in the following areas: Metadata management to ensure information is understood, Data Quality to ensure data is measured and trusted, Retention Management to ensure data is retained and purged appropriately … data is properly secured and handled based on sensitivity and regulatory requirements. Key tasks include documentation data sources, facilitating Authoritative Data Source certification, managing metadata and data lineage within the Enterprise Data Repository, ensuring data quality, monitoring service level agreements (SLAs) and data quality metrics, and overseeing timely remediation efforts. ...

business process reviews, and solution design sessions. Configure and implement AVEVA AIM solutions based on customer requirements and best practices. Support information model design, metadata configuration, document management structures, and security setup. Assist with system testing, deployment, and user acceptance activities. 2. System Integration & Data Management Develop and support integrations … desirable. Experience participating in customer workshops, solution presentations, or pre‐sales activities is advantageous. Technical Skills Working knowledge of AVEVA AIM configuration, information models, metadata management, and security concepts. Experience with system integration technologies, including REST APIs, XML, JSON, and web services. Development or scripting experience using C#, .NET, PowerShell ...

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 management … 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 HEREAs a Consultant/Senior Consultant, you will have the chance to shape responsible AI foundations ...

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 ...

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 HEREAs a Consultant/Senior Consultant, you will have the chance to shape responsible AI foundations ...

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 HEREAs a Consultant/Senior Consultant, you will have the chance to shape responsible AI foundations ...

database, storage, network and infrastructure.* Onboard new Reuters content partners onto our platforms: configuring ingest pipelines, writing and testing XSLT mappings that transform partner metadata into the format Imagen ingests, and validating that content reaches Reuters Connect correctly.* Integrate customer Imagen systems with Reuters Connect, following an established procedure covering … feed the fix back into code or documentation so it does not recur.* Plan and run media migrations, moving large archives and their metadata between platforms and storage providers, and support the decommissioning of legacy systems.* Document what you build and what you learn, on our internal wiki ...

Consult is seeking an experienced data-architecture leader to own the federated metadata architecture, including the central discovery layer and domain catalogues for market data and reporting. You will collaborate with client teams to extend existing catalogue models and shape the knowledge graph that enables AI-enabled discovery. The role … requires designing domain metadata models, machine-derived metadata strategies, and a robust governance approach, with ownership and stakeholder coordination #J-18808-Ljbffr ...

clients to harness the value of data and AI. We advise across Data Governance, Strategy, Master Data Management (MDM), Data Quality & Observability, Metadata Management and Data Products as well as supporting organisations adoption of AI including Agentic Data Management, AI Observability, Semantic Layers and Ontologies. We are looking for candidates … standards, controls, ownership and stewardship models. Data Quality & Observability: working knowledge of profiling, rule definition, controls, monitoring, issue management, remediation and root-cause analysis. Metadata Management: experience with business glossaries, data catalogues, lineage, classification, metadata standards or data discovery processes and tools. Master & Reference Data Management: understanding of relevant principles ...

clients to harness the value of data and AI. We advise across Data Governance, Strategy, Master Data Management (MDM), Data Quality & Observability, Metadata Management and Data Products as well as supporting organisations adoption of AI including Agentic Data Management, AI Observability, Semantic Layers and Ontologies. We are looking for candidates … standards, controls, ownership and stewardship models. Data Quality & Observability : working knowledge of profiling, rule definition, controls, monitoring, issue management, remediation and root-cause analysis. Metadata Management : experience with business glossaries, data catalogues, lineage, classification, metadata standards or data discovery processes and tools. Master & Reference Data Management : understanding of relevant principles ...

data assets. You'll be designing and shaping data strategies, operating models, and workflows, while working directly with technical and business stakeholders to get metadata sorted, build out data lineage, and roll out data catalog tools. Beyond setting up the framework, you'll be hands‐on with data quality‐assessing … Tooling Expertise: Hands‐on experience working with modern data governance technologies (e.g., Microsoft Purview, Collibra, Databricks Unity Catalog, Alation, Atlan, or Ataccama). Framework & Metadata Experience: Proven track record defining data governance strategies, operating models, and organizing business/technical metadata through enterprise data management tools. Data Quality & MDM: Practical ...

organisation at an important stage of its data and AI journey. This is a broad and genuinely interesting role covering data quality, governance, metadata, taxonomy and emerging AI governance, with exposure across Digital, Risk, Compliance and the wider business. Key responsibilities * Develop and maintain data quality, profiling and reporting * Support … metadata, taxonomy, classification and data lineage * Contribute to AI governance, including model monitoring, bias and drift * Analyse data to identify risks, trends and opportunities * Support data and AI risk assessments * Work with senior stakeholders across Digital, Risk, Compliance and the wider business About you You'll have experience in Data ...

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 data domains, pain points, controls and target outcomes … Design and implement data governance, ownership models, stewardship workflows, metadata and lineage approaches Define business glossaries, critical data elements, policies, standards, controls and RACI operating model artefacts Drive data quality activities including profiling, rule definition, issue triage, remediation pathways, KPI reporting and continuous improvement Coordinate delivery across data engineering, architecture ...

issues visible and prioritizing improvements Collaborate with business, IT, security, privacy and analytics teams to align governance Shape the Data & AI ecosystem with architecture, metadata, lineage and data products Drive responsible and AI-ready data with emphasis on transparency, security and human oversight Belangrijkste vereisten Strong experience in Data Governance … Master Data Management or related discipline Understanding of data ownership, stewardship, quality, metadata, definitions and lifecycle Experience building governance capabilities in complex organizations Ability to connect business, IT, architecture, security, analytics and operations Strong stakeholder management and influencing skills across levels Hands-on mindset translating strategy into measurable results Knowledge ...

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 ...

user management, support tickets, and the form integrations and data flows that feed Salesforce. We work in a modern, engineering-led way. Our metadata is source-controlled, our org setup and deployments are increasingly scripted, and we use AI to work faster and smarter. You should be comfortable, at least … record-triggered, screen and scheduled), validation rules, formula fields, custom objects and fields, Lightning pages and Dynamic Forms, record types, approval processes and custom metadata Migrating legacy automation (Workflow Rules and Process Builder) to Flow in line with Salesforce best practice Configuring and supporting features across Sales Cloud, Service Cloud ...

aware, and traceable answers. This position encompasses ownership of the architecture, standards, governance, design assurance, and roadmap for various knowledge management components, including taxonomy, metadata, and retrieval systems. Key Responsibilities: Architecture & Governance: - Own and define the enterprise knowledge architecture, principles, and roadmap aligned with AI and data strategies. - Establish … govern standards for taxonomy, metadata, content structure, and knowledge lifecycle management. Search & Retrieval: - Set architecture requirements for enterprise search and retrieval, ensuring AI responses are sourced from approved and traceable knowledge. - Use evidence-based insights to identify and prioritise improvements in architecture and content quality. Quality & Lifecycle Management: - Define controls ...

aware, and traceable answers. This position encompasses ownership of the architecture, standards, governance, design assurance, and roadmap for various knowledge management components, including taxonomy, metadata, and retrieval systems. Key Responsibilities: Architecture & Governance: - Own and define the enterprise knowledge architecture, principles, and roadmap aligned with AI and data strategies. - Establish … govern standards for taxonomy, metadata, content structure, and knowledge lifecycle management. Search & Retrieval: - Set architecture requirements for enterprise search and retrieval, ensuring AI responses are sourced from approved and traceable knowledge. - Use evidence-based insights to identify and prioritise improvements in architecture and content quality. Quality & Lifecycle Management: - Define controls ...

primary operational contact for assigned service partners, building strong relationships and ensuring issues are resolved efficiently Managing ongoing FAST channel configurations, including schedule updates, metadata changes, feed ingestion, and EPG alignment Monitoring channel and pipeline health using observability tools; validating ingestion, triaging transcode and CDN delivery issues, and escalating incidents … working with content partners or service teams of varying sizes Hands-on knowledge of FAST and VOD channel ecosystems, linear programming schedules, EPG management, metadata formats (XML, JSON), encoding pipelines, video packaging (HLS, DASH), and CDN delivery architecture Experience with cloud infrastructure platforms (AWS, GCP, or Azure); familiarity with Infrastructure ...

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 ...

multiple business domains, ensuring alignment with organizational strategy Lead discussions with senior stakeholders and bring clarity to complex technical decisions Lead the standardization of metadata practices across domains, ensuring discoverability, lineage, and governance Design and evolve enterprise-level semantic data models, including logical and conceptual models, ontologies, and domain definitions … experience in: Data-focused A! tools Leading Enterprise Architecture initiatives Proficient in tools such as Purview, Unity catalog, Erwin, or other semantic/metadata platforms Deep experience with Microsoft Azure and their AI and data services Experience working with the Financial Services Industry Bachelor's degree in computer science, Information ...