276 to 300 of 375 Metadata Jobs

to surface key insights and performance indicators. Work with business and technical teams to define data rules, metrics, and KPIs aligned to governance strategies. Integrate data quality tooling with metadata, lineage, and governance platforms to enhance visibility and traceability. Support efforts to define and align reference data taxonomies and consumption models across business functions. About You 6+ years’ experience in … data management, analytics, or governance roles, ideally within financial services. In-depth understanding of data quality, metadata management, and lineage frameworks. Hands-on experience with enterprise data tools such as Collibra, Solidatus, Talend, or Ataccama. Excellent communication and stakeholder management skills, able to translate technical detail into business context. Proven ability to lead delivery teams across complex transformation programmes. Desirable More ❯

align with overall architecture frameworks, standards, and governance requirements. Analyze business and system requirements to define data entities, relationships, and flows across cloud and legacy environments. Develop and maintain metadata repositories, data dictionaries, and data lineage documentation to ensure consistency and traceability. Support data mapping and transformation efforts for integration, migration, and reporting. Validate that data structures support performance, scalability … and understanding of data integration, normalization, and modeling best practices. Experience working with data modeling tools (e.g., ER/Studio, ERwin, PowerDesigner, or equivalent). Understanding of data governance, metadata management, and data quality frameworks. Ability to interpret business requirements and translate them into data design specifications. Excellent communication and documentation skills for presenting data models and concepts to technical More ❯

accuracy and straight-through processing (STP). Support change management, including UAT execution, documentation, and training for global operations teams. Represent Operations in data governance forums covering data ownership, metadata management, and strategy alignment. Required Skills & Experience Minimum 10 years’ experience in Investment Banking Operations or Security Services (Custody, Asset Servicing, Fund Accounting). Proven expertise in Reference and Master … Derivatives). Experience with data governance tools and reference data platforms (e.g., GoldenSource, Bloomberg, EDM, Markit, SmartStream, or internal MDM systems). Strong knowledge of data modeling, lineage, and metadata management concepts. Ability to translate operational requirements into data management and technology solutions. Hands-on experience with SQL, data analysis tools, or reporting frameworks is an advantage. Excellent stakeholder management More ❯

experience and do not require sponsorship.Reporting to the data process management team.The role is to support UK operations in delivering data governance. The main responsibilities include the management of metadata, data lineage, data protection, data quality, data standards, and their policy establishment, implementation and monitoring within IT Risks, Information Security, cybersecurity, GDPR etc.To assist and support all business departments in … or regulators. Carry out any ad hoc tasks assigned by the Head of Data and Process Management Office Participating in the lifecycle management of data, including the management of metadata, data lineage, data security, data quality, data standards, and their policy establishment, implementation and monitoring. Participating in the Head Office Enterprise Data Platform (EDP) construction on behalf of London Branch More ❯

and do not require sponsorship. Reporting to the data process management team.The role is to support UK operations in delivering data governance. The main responsibilities include the management of metadata, data lineage, data protection, data quality, data standards, and their policy establishment, implementation and monitoring within IT Risks, Information Security, cybersecurity, GDPR etc.To assist and support all business departments in … or regulators. Carry out any ad hoc tasks assigned by the Head of Data and Process Management Office Participating in the lifecycle management of data, including the management of metadata, data lineage, data security, data quality, data standards, and their policy establishment, implementation and monitoring. Participating in the Head Office Enterprise Data Platform (EDP) construction on behalf of London Branch More ❯

and warehouse subject areas (TSA/WDA) for accurate reporting. Work closely with business stakeholders, functional leads and technical teams to identify reporting needs. Provide governance around report development, metadata management and version control. Optimize performance of BI reports and ensure alignment with data security and compliance policies. Mentor and support teams in self-service BI capabilities across OTBI and … Fusion Cloud BI/Reporting. Expertise in Oracle OTBI, BI Publisher, Smart View, Oracle Analytics Cloud. Deep understanding of Fusion subject areas and database structures. Experience in data modeling, metadata and management and KPI Design. Proficiency in SQL, XML and Excel-based reporting tools. Familiarity with Fusion role-based security and data access setups. Strong analytical, communication and documentation skills. More ❯

and warehouse subject areas (TSA/WDA) for accurate reporting. Work closely with business stakeholders, functional leads and technical teams to identify reporting needs. Provide governance around report development, metadata management and version control. Optimize performance of BI reports and ensure alignment with data security and compliance policies. Mentor and support teams in self-service BI capabilities across OTBI and … Fusion Cloud BI/Reporting. Expertise in Oracle OTBI, BI Publisher, Smart View, Oracle Analytics Cloud. Deep understanding of Fusion subject areas and database structures. Experience in data modeling, metadata and management and KPI Design. Proficiency in SQL, XML and Excel-based reporting tools. Familiarity with Fusion role-based security and data access setups. Strong analytical, communication and documentation skills. More ❯

to work You can find out more here: Benefits - Police Digital Service (pds.police.uk) The Data Architect implements the design, build and best practice for the data technology architecture, including metadata, integration and business intelligence or data warehouse architecture, working seamlessly with internal PDS and external partners to enable and fulfill multiple stakeholder requirements. Key Responsibilities Implement and manage the organisation … departments and with external stakeholders Significant, demonstrable experience in Data Architecture roles such as Data Architect or Senior Data Architect Extensive experience around Data Modelling Understands a variety of Metadata Management The ability to turn business issues into Data Architecture design Proven track record of supporting medium to large-scale data and analytics projects and programmes Excellent knowledge of data More ❯

Key Responsibilities: Develop conceptual, logical, and physical data models for geospatial and land data domains using EA Sparx for model design and documentation. Define data standards, attribute schemas, and metadata frameworks to ensure consistency across a common spatial framework. Design a data management solution that clearly distinguishes between current data pending verification and historical data, supporting both batch and streaming … and Experience: Proven experience designing and implementing geospatial data architectures within government or large enterprise environments. Strong proficiency in EA Sparx for data modelling and documentation. Deep understanding of metadata, data lineage, and geospatial metadata standards (ISO 19115, INSPIRE, GEMINI), along with data governance frameworks. Knowledge of coordinate reference systems, topology, and geometry validation. Experience conducting data quality, completeness, and More ❯

policies and practices. Establish policies, standards, and procedures for data quality, integrity, data management and meta data management. Set up roles and responsibilities (e.g., data owners, stewards, custodians). Metadata and Master Data Management, Oversee metadata management practices and tools. Work with IT and business units to maintain accurate master and reference data. Enable discoverability and understanding of data assets More ❯

policies and practices. Establish policies, standards, and procedures for data quality, integrity, data management and meta data management. Set up roles and responsibilities (e.g., data owners, stewards, custodians). Metadata and Master Data Management, Oversee metadata management practices and tools. Work with IT and business units to maintain accurate master and reference data. Enable discoverability and understanding of data assets More ❯

of data modelling. You can produce, maintain and update relevant data models for specific business needs. You can reverse-engineer data models from a live system. (Skill level: working) Metadata management. You can work with metadata repositories to complete complex tasks such as data and systems integration impact analysis. You can maintain a repository to ensure information remains accurate and More ❯

of data modelling. You can produce, maintain and update relevant data models for specific business needs. You can reverse-engineer data models from a live system. (Skill level: working) Metadata management. You can work with metadata repositories to complete complex tasks such as data and systems integration impact analysis. You can maintain a repository to ensure information remains accurate and More ❯

Monitor industry trends, competitor performance, and audience preferences to support media product innovation Workflow Optimization: Identify and propose improvements to workflows that handle rights data, ensuring accurate and timely metadata entry, validation, and reporting Data Analysis: Analyze large data sets related to content usage and rights to identify trends, gaps, and opportunities for automation or efficiency Stakeholder Collaboration: Bridge communication … into specific enterprise systems like financial platforms and products, royalties, and contract systems for reporting and compliance Ensure seamless integration between MAM/DAM systems, scheduling tools, AI models, metadata pipelines, and streaming infrastructure Familiarity with media platforms (YouTube, TikTok, streaming services) and digital advertising metrics Proficiency with Agile tools like JIRA, Confluence, Figma, Airtable, and Lucidchart Understanding of cloud … infrastructure, media file formats, and metadata standards is a plus Change management and transformation experience Preferred Qualifications Bachelor's degree in media, Computer Science, Business, or a related field. Advanced degrees or certifications in AI or media product development are a bonus Background in media law, intellectual property, or digital asset management (DAM) is a plus Certification in Product Management More ❯

the following: Designing and implementing both relational (3NF) and dimensional (star/snowflake) data models for large-scale financial systems and analytical platforms. Working hands-on with ETL design, metadata management, and data cataloguing , ensuring robust data lineage and governance. Building standards and frameworks that define how data is structured and managed across multiple platforms. Collaborating closely with architects, data … financial services environments. Strong expertise in ERWin (or equivalent tools such as Sparx, RSA, Visio). Hands-on experience with relational and dimensional modelling methodologies. Understanding of ETL frameworks, metadata management, and data governance principles. Ability to communicate complex data concepts to senior stakeholders in client-facing settings. For Principal level: prior experience in thought leadership, client relationship management, or More ❯

the following: Designing and implementing both relational (3NF) and dimensional (star/snowflake) data models for large-scale financial systems and analytical platforms. Working hands-on with ETL design, metadata management, and data cataloguing , ensuring robust data lineage and governance. Building standards and frameworks that define how data is structured and managed across multiple platforms. Collaborating closely with architects, data … financial services environments. Strong expertise in ERWin (or equivalent tools such as Sparx, RSA, Visio). Hands-on experience with relational and dimensional modelling methodologies. Understanding of ETL frameworks, metadata management, and data governance principles. Ability to communicate complex data concepts to senior stakeholders in client-facing settings. For Principal level: prior experience in thought leadership, client relationship management, or More ❯

1. Ability to shape and deliver data architecture across our supply chain – metadata models, metadata strategies, integration and interoperability needs across business and technical aspects etc 2. Media supply chain experience is strongly desired – industry awareness (including standards (EIDR, IMF, Movielabs...) etc) and practical implications. 3. Ability to really get stuck in – proactive rather than reactive. Tech Stack Cloud: On More ❯

1. Ability to shape and deliver data architecture across our supply chain – metadata models, metadata strategies, integration and interoperability needs across business and technical aspects etc 2. Media supply chain experience is strongly desired – industry awareness (including standards (EIDR, IMF, Movielabs...) etc) and practical implications. 3. Ability to really get stuck in – proactive rather than reactive. Tech Stack Cloud: On More ❯

and reporting tools Experience leveraging cloud technologies Experience performing schema design Experience designing and enforcing business rules to ensure data quality Experience with data integration and mapping Familiarity with metadata and best practices for metadata collection, storage, and management Familiarity with Data Management and Data Governance best practices, tools and practices Ability to translate business requirements into technical requirements Strong More ❯

Data Management: Maintain a central reference data catalogue; validate and update reference data; align with business stakeholders. Data Catalogue & Business Glossary: Document new data assets; maintain lineage, ownership, and metadata; promote catalogue adoption. Data Quality & Governance: Monitor data quality; investigate issues; contribute to governance standards and continuous improvement. Stakeholder Engagement: Support governance forums; provide insights on data quality; act as … complex environments. Strong knowledge of data management concepts : MDM, RDM, data quality, business glossary, data lineage. Practical experience with data quality monitoring and resolution. Familiarity with data catalogues and metadata tools . Strong SQL and analytical skills . Excellent communication and stakeholder engagement . Awareness of regulatory and audit requirements (e.g., Lloyd’s data standards). Nice to Have: Hands More ❯

Data Management: Maintain a central reference data catalogue; validate and update reference data; align with business stakeholders. Data Catalogue & Business Glossary: Document new data assets; maintain lineage, ownership, and metadata; promote catalogue adoption. Data Quality & Governance: Monitor data quality; investigate issues; contribute to governance standards and continuous improvement. Stakeholder Engagement: Support governance forums; provide insights on data quality; act as … complex environments. Strong knowledge of data management concepts : MDM, RDM, data quality, business glossary, data lineage. Practical experience with data quality monitoring and resolution. Familiarity with data catalogues and metadata tools . Strong SQL and analytical skills . Excellent communication and stakeholder engagement . Awareness of regulatory and audit requirements (e.g., Lloyd’s data standards). Nice to Have: Hands More ❯

Responsibilities: Develop data warehousing blueprints, evaluate hardware/software platforms, and integrate systems. Assess reusability of current data for analysis. Design data warehouses, including data design, database architecture, and metadata management. Build relational databases, perform data access analysis, and design archive/recovery processes. Review and develop object/data models and metadata repositories for better data management. Knowledge of More ❯

analysts, and stakeholders to enhance data accessibility and reliability. Take part in architecture and design discussions, ensuring solutions are scalable, testable, and well-documented. Improve data ingestion, orchestration, and metadata systems to support a growing analytics platform. Offer technical insight and second/third-line support on complex data issues. What You’ll Need 6+ years of professional software engineering … Proficiency in SQL (both transactional and analytical use cases). Experience working with data lakes, ETL frameworks, and orchestration tools such as Airflow. Familiarity with streaming systems (Kafka) and metadata management tools. Solid knowledge of cloud environments (AWS preferred) and Kubernetes. Understanding of DevOps, CI/CD, and infrastructure as code. A proactive, inquisitive approach who enjoys solving complex engineering More ❯

analysts, and stakeholders to enhance data accessibility and reliability. Take part in architecture and design discussions, ensuring solutions are scalable, testable, and well-documented. Improve data ingestion, orchestration, and metadata systems to support a growing analytics platform. Offer technical insight and second/third-line support on complex data issues. What You’ll Need 6+ years of professional software engineering … Proficiency in SQL (both transactional and analytical use cases). Experience working with data lakes, ETL frameworks, and orchestration tools such as Airflow. Familiarity with streaming systems (Kafka) and metadata management tools. Solid knowledge of cloud environments (AWS preferred) and Kubernetes. Understanding of DevOps, CI/CD, and infrastructure as code. A proactive, inquisitive approach who enjoys solving complex engineering More ❯

across the ecosystem. Key Responsibilities: Define and document conceptual, logical, and physical data models for geospatial and land data domains using EA Sparx Establish data standards, attribute schemas, and metadata frameworks to drive consistency across a common spatial framework Design data management solutions that support both batch and streaming processes, with clear handling of current and historical data Conduct gap … structures Experience Required: Proven experience as a Data Architect within geospatial or land data environments (public sector preferred) Expert in EA Sparx for modelling and documentation Strong knowledge of metadata standards (ISO 19115, INSPIRE, GEMINI) and data governance frameworks Understanding of coordinate reference systems, topology, and geometry validation Experience conducting data quality, completeness, and consistency assessments Strong communication and collaboration More ❯