151 to 175 of 383 Permanent Metadata Jobs

consumers to monitor and report on data. Improve the quality of data use and usability by driving an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions Work collaboratively with Intelligence and Data analysis teams to produce qualitative and quantitative data that support Intelligence products. Qualifications Required Skills & Experience: Experience providing services similar More ❯

monitoring to ensure high availability and traceability. AI & Advanced Analytics Integration: Collaborate with AI/ML teams to enable model training pipelines with robust and reliable data access. Leverage metadata and structured data modeling to support AI model explainability and audit trails. Guide engineering teams on best practices for cloud-based data handling, Terraform, and secure service architecture. Coach junior More ❯

monitoring to ensure high availability and traceability. AI & Advanced Analytics Integration: Collaborate with AI/ML teams to enable model training pipelines with robust and reliable data access. Leverage metadata and structured data modeling to support AI model explainability and audit trails. Guide engineering teams on best practices for cloud-based data handling, Terraform, and secure service architecture. Coach junior More ❯

Vacancy for Project Archivist, Metadata Support at University of Oxford Vacancy for Project Archivist, Metadata Support at University of Oxford Weston Library, Oxford Fixed Term This pivotal role will support metadata creation and management activities associated with cataloguing and digitisation of archives and manuscripts being undertaken at the Bodleian Libraries. You will be critical to ensuring that metadata generated meets … the Bodleian Libraries' metadata guidelines, optimising its potential for supporting discovery, use and management of collections. You will achieve this through training and supporting colleagues working on cataloguing collection materials, leading on quality assurance of relevant metadata, and taking responsibility for publication and updating of relevant metadata in internal systems and in our public-facing catalogue, Bodleian Archives & Manuscripts. You … You will have a flexible approach, responding well to changing circumstances. You will have a high degree of technical literacy, with practical experience and advanced skills in working with metadata manipulation in various forms including spreadsheets and XML. You will enjoy the analytical work and problem-solving that is central to metadata work. Possession of a postgraduate qualification in archives More ❯

books A fantastic opportunity for a data-driven, analytical person with an eye for detail and a love of books Independent publisher Scribe UK is seeking a Sales and Metadata Assistant to join our small, dynamic team based in Bloomsbury, with a list that includes prize-winning and bestselling authors. You may have some experience in publishing or bookselling already … interest in industry best practice and proactively research new ways to sell more of our books online. Duties will include: Maintaining and updating Scribe's internal database. Drafting enhanced metadata, such as optimised copy and keywords. Initiating new metadata projects and measuring their impact. Checking ONIX feeds. Managing Scribe's Amazon Advantage account, including correcting errors, issuing takedown notices for … 6pm with a one-hour paid lunch break. To apply, send your CV and covering letter to Molly Slight at by 18 March, with the subject line "Sales and Metadata Assistant application". More ❯

the critical intersection of remote sensing, computer vision, machine learning, and data science. The ideal candidate will possess advanced knowledge of raster-level geospatial data, comprehensive understanding of collection metadata, and expertise in various sensing phenomenologies including Electro-Optical (EO), Infrared (IR), and Synthetic Aperture Radar (SAR). This position is pivotal in bridging the gap between geospatial data expertise … and machine learning applications. Responsibilities: Analyze and process complex geospatial datasets from multiple sensing modalities (EO, IR, SAR) Evaluate dataset quality, coverage, and metadata to determine suitability for ML applications Develop and implement innovative data preparation strategies for geospatial machine learning Design and execute validation methods for geospatial data quality assurance Develop automated processes for geospatial data integration and harmonization … programming skills in Python or R, with experience using geospatial libraries (e.g., GDAL, GeoPandas) Working knowledge of computer vision techniques applied to satellite/aerial imagery Proficiency with geospatial metadata standards and their importance in analysis Experience evaluating dataset suitability for ML training and deployment Experience with containerization (Docker) and workflow automation for geospatial pipelines Strong ability to visualize data More ❯

analysts, compliance, and business functions to ensure data is governed, understood, and fit for purpose across its lifecycle. Additionally, the role supports compliance and audit readiness by maintaining clear metadata, lineage, and retention policies using tools such as Azure Purview and Unity Catalog. This position is vital to enabling trusted analytics, AI development, and operational efficiency. What you'll be … providing training, guidance, and accountability across business units. Define and monitor data quality KPIs, initiating remediation plans with relevant owners where data integrity risks are identified. Manage and maintain metadata standards and business glossaries, enabling consistent definitions and enterprise-wide understanding of data assets. Ensure compliance with data privacy and protection laws (e.g. UK GDPR, Data Protection Act, FCA/… of data protection legislation and regulatory standards (e.g. DPA 2018, GDPR, FCA SYSC, PRA SS1/21). Experience with Azure Purview, Unity Catalog, or similar data governance and metadata tools. Excellent understanding of data management principles including data quality, metadata, lineage, classification, and stewardship. Experience leading data governance initiatives in regulated environments such as financial services or insurance. Strong More ❯

data products that empower our clients. We are committed to continuous learning and adaptation, ensuring our methodologies remain at the forefront of industry standards. Responsibilities and Impact: Lead the metadata tagging roadmap, aligning priorities across business, technical, and product teams to deliver impactful solutions. Own the product vision and execution for metadata tagging across content platforms and delivery channels. Define … business requirements and partner with engineering to ensure scalable, maintainable tagging solutions. Act as the organizational expert on metadata tagging, advising on best practices and industry trends. Collaborate with stakeholders to ensure tagging meets both customer and business needs. Monitor tagging performance, iterate based on insights, and maintain clear communication and documentation. What We're Looking For: Basic Required Qualifications … s degree in Business, Product Management, or a related field, with 3-5 years of product management experience-especially in data products or metadata. Strong understanding of tagging and metadata concepts, with the ability to clearly communicate technical requirements. Proven ability to collaborate with cross-functional teams including engineering, UX/UI, and business stakeholders. Excellent communication, organizational, and problem More ❯

and appropriate use cases for Data lineage, DQ, Profiling, big data technologies and cloud platform usage. Role/Position Overview We are looking to bring in a Senior Abinitio Metadata Developer with sufficient MDH (Metadata Hub) knowledge to work on one of the large industry wide transformation Product in Citi to move into Single ledger solution for all Citi financial … and solving technical issues during project delivery. o Responsible for applications systems analysis and programming activities. Must Have Skills/Work Experience o Experience as senior level in Abinitio & Metadata hub Applications Development role o Experience in Datalineage and data controls o Experience on starting the front-end buildout from scratch by coordinating across multiple business and technology groups o More ❯

adapting the ETL process to handle new data types, and transferring data between systems or networks. Experience in organizing and cataloging datasets, suggesting a need for data governance and metadata management skills. Ability to communicate effectively with diverse stakeholders, both technical and non-technical, across different seniority levels. Desired Skills & Certifications: Experience with Hadoop technologies and integrating them into ETL … Extract, Transform, Load) data pipelines. Familiarity with Apache Tika for metadata and text extraction from various document types. Experience as a Data Layer Architect, focusing on fusing hybrid data sources into a common model. A Master's degree or equivalent experience in Computer Science is preferred Proven ability to collaborate effectively within a team and work independently to deliver results. More ❯

quality, and stewardship of data and AI models within the Department of Defense (DoD) ecosystem. In this position you will: Support the development, enhancement, and sustainment of data pipelines, metadata, and AI models impacting Advana applications and tools. Enable customer success through the creation of templates, guides, and playbooks for data catalog usage and governance as well as Service Desk … support provision. Drive adoption of the DoD Federated Data Catalog by supporting integration with external catalogs and developing APIs for metadata exposure. Lead customer engagement efforts and facilitate the Data Catalog Community of Practice. Deliver training and feedback to DoD Data Stewards and support policy-as-code access control mechanisms. Basic Qualifications: As a requirement of this position, all candidates … in managing customer engagement initiatives, facilitating communities of practice, and supervising technical support teams or training programs Preferred Qualifications: Familiarity with Agile and Sprint methodologies. Experience with data cataloging, metadata management, and data quality frameworks. Understanding of DoD data governance policies and secure data environments (e.g., SIPR, JWICS). Strong communication skills to engage with stakeholders and lead enablement initiatives. More ❯

Collaborate with platform teams to embed GenAI tools (e.g., Cursor, Gemini, Claude) into development workflows. Curate and manage datasets across structured and unstructured formats and diverse domains. Contribute to metadata enrichment, lineage, and discoverability using DBT, Airflow, and internal tooling. Skills & Experience We value both traditional and non-traditional career paths. You'll ideally bring: Technical Skills 3-5 years … Remote options for assessments Why Join Creditsafe? Be part of a global company investing in modern, AI-driven data architecture. Gain hands-on experience with cutting-edge tools-from metadata-aware pipelines to LLM-powered assistants. Develop in a supportive culture where experimentation and continuous learning are encouraged. Work in an environment where curiosity, innovation, and collaboration are truly valued. More ❯

and Golang (Streaming services). Integrate with Databricks to expose and manage OLAP (Online Analytical Processing) workloads, enabling API-driven data querying and analytics at scale. Architect APIs following metadata-driven design principles, ensuring that data can be dynamically exposed to users inside or outside the system while maintaining dynamic authentication mechanisms. Deploy and scale API services using AWS Lambda … in API development with GraphQL (Ariadne) and RESTful services. Strong hands-on experience with Node.js (Express/Nest.js), FastAPI (Python), and Golang. Proficiency in API design principles, focusing on metadata-driven frameworks that allow dynamic data exposure with adaptable authentication models. Experience with AWS Lambda, AWS Bedrock, and Kubernetes (EKS) for serverless and microservices architectures. Hands-on experience designing scalable More ❯

capabilities and future-proof data ecosystems across multiple domains. Key Responsibilities: Build end-to-end data lifecycle event flows aligned to logical models and systems. Create and maintain comprehensive metadata, data dictionaries, and entity relationships. Translate business needs into scalable, compliant data structures. Champion data governance policies and standards. Model structured and unstructured data across relational and NoSQL databases. Implement More ❯

team model to maximize impact. Partnering with the Executive team to influence strategic decision-making through analytics. Overseeing Data Governance and Data Management, including Data Quality, Self-Serve enablement, Metadata Management, Data Protection, and Privacy. Aligning with the Business Strategy and executing the Data Strategy accordingly. Building influence across the organization and developing key relationships. We seek a candidate who More ❯

team model to maximize impact. Partnering with the Executive team to influence strategic decision-making through analytics. Overseeing Data Governance and Data Management, including Data Quality, Self-Serve enablement, Metadata Management, Data Protection, and Privacy. Aligning with the Business Strategy and executing the Data Strategy accordingly. Building influence across the organization and developing key relationships. We seek a candidate who More ❯

ability to connect the dots between business needs and technology solutions across enterprise platforms. Desirable Skills: Experience with cloud services (e.g. AWS), Workday, Salesforce, Tableau, or Snowflake. Familiarity with metadata, particularly in rights management or the music/media industry. Knowledge of SQL or data modelling, and working with APIs and microservices. Exposure to AI/ML implementations or Behaviour More ❯

ability to connect the dots between business needs and technology solutions across enterprise platforms. Desirable Skills: Experience with cloud services (e.g. AWS), Workday, Salesforce, Tableau, or Snowflake. Familiarity with metadata, particularly in rights management or the music/media industry. Knowledge of SQL or data modelling, and working with APIs and microservices. Exposure to AI/ML implementations or Behaviour More ❯

high-impact, and mission-aligned role-this opportunity is for you. RESPONSIBILITIES Develop and implement data governance strategies across enterprise systems Lead efforts in data integration, quality assurance, and metadata management Define and enforce policies for data access, lineage, and lifecycle management Collaborate with cybersecurity and cloud teams to ensure secure data sharing and storage Support development of enterprise data More ❯

data mapping and transformation logic instructions to load source data to data warehouse target tables. Coordinates and conducts testing of reports, database objects, and related products. Creates and maintains metadata for reports. Other duties as assigned or required. Requirements Required: 3 years' experience performing data analysis. MS Excel work experience. Must be a team player and able to work in More ❯

and contribute to the ongoing development of its industry-leading platform. This hybrid role offers the opportunity to work across its full technology stack, from data pipeline engineering to metadata enrichment in a small collaborative and high-performing team. It’s ideally suited to someone who combines strong technical ability with proactivity, clear communication and organisational skills. Data Engineer - Benefits More ❯

assets.4. Builds and deploys communication plans for data consumers so they are aware of data governance standards and available resources for accurate reporting of the data.5. Develops a centralized metadata and classification repository for data assets that can be systematically used with confidence in business applications.6. Fosters communication and knowledge exchange among data governance practitioners through engagement with CoEs7. Operationalizes More ❯

our clients in the Data Management and Governance team. Our end-to-end experience allows our Data practitioners to advise on Data management and Strategy, Modelling, MDM, Data Quality, Metadata Management, Data Privacy and compliance, through to Data Mesh and Marketplace. Our technology and consulting expertise and breadth of skills enable transformational change at any scale. You will learn, grow More ❯

Builds and deploys communication plans for data consumers so they are aware of data governance standards and available resources for accurate reporting of the data. 5. Develops a centralized metadata and classification repository for data assets that can be systematically used with confidence in business applications. 6. Fosters communication and knowledge exchange among data governance practitioners through engagement with CoEs More ❯

focusing on performance management and career development, while providing leadership in solving challenging problems together. Minimum requirements: Strong technical expertise in core data architecture disciplines including data modelling, analysis, metadata management, transformation, migration, and master data management. Proven experience providing technical leadership, assurance, mentoring, and defining standards in data projects. Experience in product or technology selection at project or enterprise More ❯