9 of 9 Contract Metadata Management Jobs

data owners and curating stewardship roles across the enterprise Champion data literacy initiatives and promote a culture of accountability around data across the organisation Design and implement processes for metadata management, data lineage tracking, and data lifecycle management Provide hands-on configuration and support of Purview (or similar tools), including metadata scanning, asset classification, glossary management … and deploy Microsoft Purview in enterprise environments, including integration with other Microsoft data services Policy & Framework Development: Experience authoring and implementing data policies, stewardship models, and governance operating models Metadata & Lineage Management: Strong knowledge of metadata standards, data cataloguing practices, and lineage documentation Stakeholder Engagement: Demonstrated ability to work across business and technical stakeholders, driving consensus and … adoption of governance practices Regulatory Compliance Understanding: Solid grasp of compliance frameworks such as G.D.P.R., C.C.P.A., and other data protection legislation. QUALIFICATIONS Bachelor’s degree in Data Management, Information Systems, Computer Science, or related discipline Minimum of 5 years’ experience in data governance roles, with demonstrable success in policy development and tool implementation Strong expertise in Microsoft Purview; experience More ❯

complex reporting initiatives in a highly regulated, fast-paced environment. The ideal candidate should have a strong background in robust enterprise delivery of reporting/data visualisation platforms, project management, and leadership skills to drive the team towards achieving strategic objectives. They should be curious about the technology and design of the reporting platforms as well as how the … IT, the Data Office, colleagues in the US, and the rest of the EMEA business stakeholders. Put in place long term solutions for the ongoing maintenance and support. Line management of the team including objective setting Scale: Will be working in a growing team of 30-50 IT staff within a wider IT department of circa 400 staff Will … tools (e.g., Power BI, Tableau) and SQL-based data modelling. Collaborate with senior stakeholders across trading, risk, finance, and compliance to translate business needs into scalable reporting solutions. Delivery Management - Lead the end-to-end delivery of reporting projects, ensuring alignment with Agile delivery practices and tight regulatory timelines (e.g., BCBS 239, MiFID II, FRTB). Oversee the development More ❯

BAs to design semantic models and logical data layers to support trusted reporting and analytics. Recommend standards for master data and reference data governance. Support adoption of federated governance, metadata management, and lineage tooling Support the development and implementation of a "data passport" model - a metadata construct that travels with datasets across the estate, capturing critical attributes … trusted reporting and analytics. Establish integration patterns between customer platforms and back-office systems (e.g. Finance, HR, CRM). Recommend standards for data modelling, master/reference data, and metadata governance. Collaborate with engineering, product, and commercial leaders to align architecture with business needs. Evaluate third-party APIs and reverse-engineer live system data models as needed. Author agile More ❯

Ideal Candidate The ideal candidate will bring strong expertise in Data Analysis combined with a working knowledge of: Data Governance principles BCBS239 regulatory frameworks ECB onboarding processes Operational Risk management practices This unique blend of skills will enable the successful candidate to provide both analytical depth and governance oversight, supporting the delivery of a robust and compliant data environment. … support governance, quality, and risk assessment across Risk and Finance data assets. Lead the implementation of data governance initiatives aligned with BCBS239 and enterprise-wide standards. Manage data definitions, metadata, and lineage for high-priority data use cases, ensuring consistency and transparency. Collaborate with stakeholders to align business needs with regulatory requirements and data governance frameworks. Investigate and analyse … environments. Familiarity with ECB supervisory processes and Operational Risk management. Demonstrated ability to interpret complex data sets and develop meaningful insights to inform governance decisions. Expertise in enterprise data management, including data modelling and metadata management. Strong stakeholder engagement and influencing skills, with experience working with senior executives. Proficiency in Excel, Visio, and PowerPoint, with experience in business More ❯

lakehouses, master/reference data models). Hands-on experience with Azure Databricks, including: Workspace and cluster configuration. Delta Lake table design and optimization. Integration with Unity Catalog for metadata management. Proficiency with Unity Catalog, including: Setting up data lineage and governance policies. Managing access controls and data sharing. Strong knowledge of data modelling tools (e.g., Erwin, PowerDesigner, SQL More ❯

document best practices for managing and maintaining robust, scalable data pipelines. Data Governance & Security: Implement and maintain data governance policies using Unity Catalog, ensuring proper organization, access control, and metadata management across data assets. Ensure data security best practices, such as encryption at rest and in transit, and role-based access control (RBAC) within Azure Databricks and Azure … to minimize processing time and resource consumption. Continuously monitor and improve pipeline performance, addressing bottlenecks and optimizing for cost efficiency in Azure. Automation & Monitoring: Automate data pipeline deployment and management using tools like Terraform, ensuring consistency across environments. Set up monitoring and alerting mechanisms for pipelines using Databricks built-in features and Azure Monitor to detect and resolve issues More ❯

document best practices for managing and maintaining robust, scalable data pipelines. Data Governance & Security: Implement and maintain data governance policies using Unity Catalog, ensuring proper organization, access control, and metadata management across data assets. Ensure data security best practices, such as encryption at rest and in transit, and role-based access control (RBAC) within Azure Databricks and Azure … to minimize processing time and resource consumption. Continuously monitor and improve pipeline performance, addressing bottlenecks and optimizing for cost efficiency in Azure. Automation & Monitoring: Automate data pipeline deployment and management using tools like Terraform, ensuring consistency across environments. Set up monitoring and alerting mechanisms for pipelines using Databricks built-in features and Azure Monitor to detect and resolve issues More ❯

Technical knowledge and underrating of the following is required:- Data Engineering Best Practices, CI/CD for data pipelines, Modular, testable ETL development, Git-based collaboration and branching strategies, Metadata management and data documentation, Reusability and multi-tenancy in data models and Orchestrating data through medallion architecture or equivalent You will ideally have strong communication & coaching skills as More ❯

Technical knowledge and underrating of the following is required:- Data Engineering Best Practices, CI/CD for data pipelines, Modular, testable ETL development, Git-based collaboration and branching strategies, Metadata management and data documentation, Reusability and multi-tenancy in data models and Orchestrating data through medallion architecture or equivalent You will ideally have strong communication & coaching skills as More ❯