26 to 50 of 307 Permanent Metadata Management Jobs

that celebrates diverse perspectives and fosters continuous learning. Job Summary: As a Data Engineer in the Corporate Technology team supporting CIO, Treasury & Corporate Risk Management, you will enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You will maintain critical … resolution, improving client experience and driving operational efficiency Demonstrate control environment improvements and reduction in toil through common tooling and frameworks; uplift the metadata (semantic layer) of existing data to support AI and Natural Language Query (NLQ) usage, accelerate adoption of Mesh data architecture, reduce consumer friction, and deliver ...

RAID), ensuring proactive mitigation and escalation where required. Establish and maintain robust project governance, including SteerCo updates and executive-level reporting. Ensure effective scope management, change control, delivery assurance, and traceability across the project lifecycle. Drive stakeholder engagement across business, technology, data, and regulatory functions. Facilitate workshops, decision-making … Coordinate delivery activities across multiple teams, ensuring alignment to programme timelines and outcomes. Manage project backlogs and delivery tracking using JIRA and associated project management tools. Support broader programme objectives through effective project management practices and leadership. Essential Skills & Experience Extensive experience in Senior Project Management roles ...

that celebrates diverse perspectives and fosters continuous learning. Job Summary: As a Data Engineer in the Corporate Technology team supporting CIO, Treasury & Corporate Risk Management, you will enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You will maintain critical … resolution, improving client experience and driving operational efficiency Demonstrate control environment improvements and reduction in toil through common tooling and frameworks; uplift the metadata (semantic layer) of existing data to support AI and Natural Language Query (NLQ) usage, accelerate adoption of Mesh data architecture, reduce consumer friction, and deliver ...

their data.We ADVISE on data, analytics and AI strategy – You will act as a trusted advisor, shaping vision and defining AI-driven data management strategies, articulating the business benefits of robust governance, quality and MDM capabilities.We TRANSLATE complexity into clarity – You will guide and influence senior stakeholders, bridging … secure buy-in and drive cultural change toward data-driven outcomes.We DESIGN operating models – You will define and design elements of the data management operating model, including roles, processes, standards and stewardship frameworks, embedding these into client organisations.We ENABLE trusted AI and analytics – You will support the discovery ...

clear ownership and accountability for critical data across the organisation. Work with Data Owners and Data Stewards to define responsibilities, governance requirements and data management standards. Develop and maintain data governance policies covering areas such as data ownership, data quality, metadata, classification, retention and appropriate data usage. Drive … technology teams to understand root causes and implement sustainable solutions. Support the development and maintenance of the organisation's data catalogue, business glossary and metadata management capabilities. Define and maintain critical data elements, data definitions and associated business rules. Work closely with Risk, Compliance, Information Security, Legal ...

program decision-making. Engineering Data & Digital Integration Establish methods for organizing, connecting, querying, and analyzing heterogeneous engineering information. Define and implement approaches for metadata, provenance, traceability, configuration management, APIs, data pipelines, and authoritative data sources. Integrate experimental data, materials information, computational models, requirements, and analytical results. Connect engineering … leadership to understand how evolving engineering results affect program execution. Identify emerging technical risks, dependencies, opportunities, and decision points. Support quantitative, evidence-based risk management by connecting program risks to underlying engineering data, models, assumptions, and uncertainties. Develop decision environments that allow engineers, program managers, and customers to evaluate ...

doing Designing, implementing and maintaining conceptual, logical and physical data models aligned to business domains Maintain and enhance the enterprise data catalogue, ensuring metadata, lineage and business definitions remain accurate and trusted Translating business requirements into clear, well-structured data models in collaboration with Product Owners, Technical Lead … sample data Providing high-quality model documentation to support downstream development and analytics Maintaining data modelling standards and best practices across squads Applying change management principles to ensure consistency and traceability of model changes Supporting governance and metadata management using recognised data modelling tools Capturing and maintaining ...

implement best practices for data governance, ensuring high data quality, integrity,and adherence to internal policies and external regulations across all Funds data.Data Lineage & Metadata Management: Establish and maintain comprehensive data lineage documentation and metadata management strategies to ensure transparency, auditability, and understanding of critical data … architecture, or data warehousing roles.5+ years of direct experience within the financial services industry, specifically with deep expertise in the Funds business (e.g., asset management, mutual funds, hedge funds).Proven experience with Fund accounting, Fund Administration, ETFs, IBOR, ABOR, and financial reporting.Technical Skills:Expertise in data modeling tools ...

best practices for data governance, ensuring high data quality, integrity,and adherence to internal policies and external regulations across all Funds data. Data Lineage & Metadata Management: Establish and maintain comprehensive data lineage documentation and metadata management strategies to ensure transparency, auditability, and understanding of critical data … data warehousing roles. 5+ years of direct experience within the financial services industry, specifically with deep expertise in the Funds business (e.g., asset management, mutual funds, hedge funds). Proven experience with Fund accounting, Fund Administration, ETFs, IBOR, ABOR, and financial reporting. Technical Skills: Expertise in data modeling tools ...

cloud architects, security teams, and customer stakeholders to deliver high-quality data solutions. Governance & Security: Establish and enforce governance frameworks covering data quality, lineage, metadata management, access controls, and regulatory compliance. Documentation: Produce and maintain architecture artefacts, standards, patterns, and technical documentation. Future Technology: Guide customers on emerging … Cloud and/or Databricks Lakehouse Platform. Strong knowledge of cloud-native data architectures across Azure and AWS Strong understanding of data governance, security, metadata management, and data lifecycle management. Understanding of AI/ML data requirements and modern analytics platforms. Knowledge of big data processing frameworks ...

data architecture, enterprise data models, and domain architectures within complex organisations. You will have strong expertise in modern data platforms, integration architecture, master data management, metadata governance, and data quality frameworks, alongside hands-on experience with Microsoft Azure, Microsoft Fabric, and data governance tools such as Purview … Frameworks (TOGAF, DAMA (CDMP)), architectural principles, design patterns, architecture tools and artifact repositories. Strong understanding of integration architecture, modern data platforms, and master data management approaches. Strong knowledge of metadata management, lineage, data catalogues and data quality frameworks. Experience of working with Microsoft Azure data services, Microsoft ...

data architecture, enterprise data models, and domain architectures within complex organisations. You will have strong expertise in modern data platforms, integration architecture, master data management, metadata governance, and data quality frameworks, alongside hands-on experience with Microsoft Azure, Microsoft Fabric, and data governance tools such as Purview … Frameworks (TOGAF, DAMA (CDMP)), architectural principles, design patterns, architecture tools and artifact repositories. Strong understanding of integration architecture, modern data platforms, and master data management approaches. Strong knowledge of metadata management, lineage, data catalogues and data quality frameworks. Experience of working with Microsoft Azure data services, Microsoft ...

data architecture, enterprise data models, and domain architectures within complex organisations. You will have strong expertise in modern data platforms, integration architecture, master data management, metadata governance, and data quality frameworks, alongside hands-on experience with Microsoft Azure, Microsoft Fabric, and data governance tools such as Purview … Frameworks (TOGAF, DAMA (CDMP)), architectural principles, design patterns, architecture tools and artifact repositories. Strong understanding of integration architecture, modern data platforms, and master data management approaches. Strong knowledge of metadata management, lineage, data catalogues and data quality frameworks. Experience of working with Microsoft Azure data services, Microsoft ...

data architecture, enterprise data models, and domain architectures within complex organisations. You will have strong expertise in modern data platforms, integration architecture, master data management, metadata governance, and data quality frameworks, alongside hands-on experience with Microsoft Azure, Microsoft Fabric, and data governance tools such as Purview … Frameworks (TOGAF, DAMA (CDMP)), architectural principles, design patterns, architecture tools and artifact repositories. Strong understanding of integration architecture, modern data platforms, and master data management approaches. Strong knowledge of metadata management, lineage, data catalogues and data quality frameworks. Experience of working with Microsoft Azure data services, Microsoft ...

exciting opportunity for a Data Manager providing support to the Command, Control, Communications, and Battle Management Division (C3BM). Command, Control, Communications, and Battle Management (C3BM) has been tasked with delivering an integrated Department of the Air Force (DAF) Battle Network providing resilient decision advantage and enabling … Engineering (ASE), Operational Response Team (ORT), and multiple mission integration teams such as Air, Maritime and multiple acquisitions consisting of both the Advanced Battle Management System (ABMS) and Space. This is a full-time position at Hanscom AFB, Bedford, MA. Essential Job Functions: The candidate shall provide comprehensive Data ...

data architecture, enterprise data models, and domain architectures within complex organisations. You will have strong expertise in modern data platforms, integration architecture, master data management, metadata governance, and data quality frameworks, alongside hands-on experience with Microsoft Azure, Microsoft Fabric, and data governance tools such as Purview … Frameworks (TOGAF, DAMA (CDMP)), architectural principles, design patterns, architecture tools and artifact repositories. Strong understanding of integration architecture, modern data platforms, and master data management approaches. Strong knowledge of metadata management, lineage, data catalogues and data quality frameworks. Experience of working with Microsoft Azure data services, Microsoft ...

scalability, resilience, security, performance, operability, and cost efficiency. Preferred Skills Experience with Cloud Composer or Apache Airflow, Dataproc or Spark, Dataform or dbt, and metadata-driven pipeline frameworks. Exposure to Terraform or another infrastructure-as-code tool. Knowledge of Dataplex, data governance, metadata management, lineage, and access … scalability, resilience, security, performance, operability, and cost efficiency. Preferred Skills Experience with Cloud Composer or Apache Airflow, Dataproc or Spark, Dataform or dbt, and metadata-driven pipeline frameworks. Exposure to Terraform or another infrastructure-as-code tool. Knowledge of Dataplex, data governance, metadata management, lineage, and access ...

expertise and leadership in the development, implementation and continuous improvement of Together's Data Governance Framework. You will drive data ownership, stewardship, data quality, metadata management and governance maturity across the organisation as a recognised expert in the data, processes and controls. As a trusted adviser … business and technical and delivery stakeholders alike, you will be leading governance initiatives; influencing decision making and embedding practical data management controls that support regulatory compliance, operational effectiveness and strategic business outcomes. This is also a great opportunity to be involved in data architecture activities including contributing to data ...

governance function, sitting within a technology risk and controls team. We are looking for candidates with strong Python development experience, alongside hands-on Collibra metadata management expertise. Experience in data modelling, governance, APIs, SQL and financial services would be particularly relevant. You will work closely with data governance … architecture, technology, risk and compliance teams, turning complex regulatory and metadata requirements into robust models and platform-ready solutions. What You'll Do Design, enhance and maintain asset models within a leading metadata management platform, configuring asset types, relations, attributes, domains and workflows. Develop high-quality Python ...

doing Building and maintaining data quality pipelines and controls in Snowflake. Developing automated monitoring, validation and alerting frameworks. Supporting data lineage, metadata management and governance tooling. Implementing governance controls around data access, classification and retention. Working closely with Data Governance, Architecture and Engineering teams. Driving continuous improvements … data quality, reliability and performance. Knowledge, Skills & Experience Essential Proven experience in a Data Engineer role, with exposure to data quality, governance or data management practices. Strong hands-on Snowflake experience, including SQL optimisation and data pipeline development. Experience building and orchestrating data pipelines using tools such ...

experience in planning and delivering end-to-end data migrations. This is a hands-on role requiring the ability to understand complex data models, metadata, data relationships and large-scale data structures. Key Responsibilities Data Migration Strategy & Planning Define the data migration strategy, scope, approach and delivery plan. Assess … Discovery & Inventory Analyse source systems and identify data required for migration. Perform data discovery, profiling and inventory assessments. Understand source and target data models, metadata, relationships and dependencies. Data Mapping & Transformation Define source-to-target data mappings. Develop data transformation rules and business logic. Work with business and technical ...

testing, documentation, reusable components and agreed development practices. Work with platform, cloud, architecture, cyber security and information governance teams to meet requirements. Maintain documentation, metadata, data dictionaries, lineage and quality controls, and improve SWSDE standards, patterns and cloud capability. About us We are committed to creating an inclusive organisation … tools and technologies. Experience working with large-scale health, research, public sector or similarly complex datasets. Strong knowledge of data modelling, data quality assurance, metadata management and data validation techniques. Ability to analyse complex datasets, data structures and technical requirements and determine appropriate engineering approaches. Experience planning ...

Define data architecture standards, modelling conventions, and best practices. Support the development of scalable data platforms for analytics, reporting, and AI. Drive data governance, metadata management, lineage, and data quality initiatives. Collaborate with Data Engineers, Product Owners, and business stakeholders to deliver trusted data solutions. Lead architecture reviews … conceptual, logical, and physical data modelling . Experience designing enterprise-scale data warehouses, lakehouse platforms, and analytical solutions . Strong knowledge of data governance, metadata management, lineage, and data quality . Experience with data cataloguing, governance tooling, and data contracts . Excellent stakeholder engagement and communication skills will ...

moving and processing data.Optimising data systems for performance, scalability, reliability, and monitoring.Information security including access controls, encryption, anonymity for sensitive data assets.Data governance, including metadata management, data quality, and lineage tracking.We are specifically looking for candidates with both technical and business focused skills, who can articulate the outcomes … experience that demonstrates modularity, reusability, and efficiency - across languages.Understanding full development lifecycle, SDLC concepts, version control, CI/CD pipelines.Knowledge of data security, governance, metadata management, master data principles.Communication skills, ability to understand business requirements and translate to technical data solutions.Connect to your business - Technology and TransformationDistinctive thinking ...

moving and processing data.Optimising data systems for performance, scalability, reliability, and monitoring.Information security including access controls, encryption, anonymity for sensitive data assets.Data governance, including metadata management, data quality, and lineage tracking.We are specifically looking for candidates with both technical and business focused skills, who can articulate the outcomes … experience that demonstrates modularity, reusability, and efficiency - across languages.Understanding full development lifecycle, SDLC concepts, version control, CI/CD pipelines.Knowledge of data security, governance, metadata management, master data principles.Communication skills, ability to understand business requirements and translate to technical data solutions.Connect to your business - Technology and TransformationDistinctive thinking ...