11 of 11 Contract Metadata Management Jobs in London

Data Management Specialist Location: London (Hybrid 2 days per week in Bishopsgate) Rate: £428/day Inside IR35 Clearance: BPSS Duration: Contract - 3 months Overview We're looking for a Data Management Specialist to support the development of enterprise-wide data management capabilities within a major insurance … transformation programme. This is a strategic, framework-focused role centred around defining operating models, governance standards, ownership structures, and data management best practices across the insurance value chain. Working closely with the Head of Data Management, you'll help shape scalable governance and data management approaches across ...

distributed, global teams. Desirable Skills Experience with large-scale distributed data systems. Familiarity with machine learning pipelines and graph analytics. Understanding of data governance, metadata management, and semantic technologies. Experience working in Agile delivery environments. What We Offer Fully remote working environment. 6-month contract with potential ...

leadership on Customer data architecture, ensuring solutions support consistent, trusted Customer data across all channels. Propose design patterns and solutions that enable Customer data management, integration, enrichment, and governance. Create and maintain design artefacts for Customer data solutions to enable engineering teams to build effectively, or solutions … Review Customer data solutions for compliance with design principles and functional/non-functional requirements. Lead design decisions and best practices for Customer data management, identity resolution, and master data management. Stay abreast of industry trends in Customer data technologies and Retail data strategies. Skills Required: Essential - Proven experience ...

Microsoft data stack , including: Azure Data Services (Synapse, Data Factory, Azure SQL, Data Lake) Power BI (enterprise reporting, semantic models, governance) Data governance and metadata management (e.g. Purview) Experience designing or integrating solutions across AWS environments Strong understanding of data security, access controls, and information assurance Confident working ...

high-profile central government data programme. This role focuses on establishing and embedding robust data governance frameworks, ensuring data quality, compliance, and effective data management across complex government environments. This is a hands-on leadership role, working closely with data architects, engineers, analysts, and senior stakeholders to drive best … practices in data governance, metadata management, and regulatory compliance across enterprise-scale platforms. Key Requirements Active Security Clearance (SC) - must be current and transferable Proven experience as a Data Governance Manager within central government or regulated environments Strong understanding of data governance frameworks (e.g. DAMA-DMBOK, DCAM) Experience ...

Dataflow Pub/Sub Python APIs and containerised services Strong data architecture experience, including conceptual, logical and physical data modelling Experience establishing governance frameworks, metadata management, data quality standards and AI-ready data foundations Expertise in Infrastructure as Code and CI/CD delivery practices Strong stakeholder engagement ...

reporting needs Deliver datasets and analytical outputs to support decision-making and regulatory reporting Support data governance activities, including data dictionaries, business glossaries, and metadata management Lead and contribute to data modelling initiatives, including current and future-state models Collaborate with Data Stewards and Data Owners to improve ...

coach a team of data governance professionals, fostering a collaborative and high-performing culture Partner with Data Owners and Data Stewards to embed data management practices and accountability Ensure compliance with data protection and security requirements in collaboration with DPO and Information Security teams Define, monitor, and report … data governance metrics including data quality, lineage, and integrity About You Strong experience working in data governance, data management, or data quality within a complex organisation Proven experience developing and implementing data governance frameworks and policies Experience managing or mentoring teams and driving organisational change Experience with data governance ...

fully automated Azure DevOps CI/CD pipelines for Salesforce applications, ensuring zero manual intervention in deployment processes. Leverage Salesforce CLI (SFDX) to orchestrate metadata deployments, data seeding, environment setup, and validation processes across multiple orgs. Implement automated workflows for code integration, testing, validation, packaging, and deployment using Azure … architects, and QA teams to promote DevOps best practices, including trunk-based development and branching strategies. Implement automated rollback strategies, version control, and release management procedures. Maintain comprehensive technical documentation for all pipeline configurations, automation scripts, and deployment procedures. Required Skills and Experience Deep expertise in Salesforce CLI (SFDX ...

products, with proficiency throughout the data lifecycle. Develop robust data models through close collaboration with business users and the engineering team. Partner with senior management, operational leads, and other stakeholders, coaching and supporting a data-driven culture, including KPI definition and reporting frameworks. Take accountability for data extraction, transforming … JSON and XML, and utilising strong experience in metadata management. Collaborate with data engineers to develop data, enrich product design, and integrate data for predictive models or machine learning. Deliver well-defined, transformed, tested, documented, and code-reviewed datasets for analysis. Evaluate and recommend improvements in data flow, influencing ...

Quality Assurance: Establish and oversee data quality standards, metrics, and ownership, ensuring consistent monitoring and reporting across various domains. Data Classification: Implement data classification, metadata, and catalogue practices, ensuring effective handling and discoverability of data assets. Secure Data Sharing: Craft and implement policies for safe and compliant data sharing … controls and checkpoints throughout delivery lifecycles. Operational Integration: Embed governance into daily operations through data contracts and lifecycle controls, providing guidance to stakeholders. Risk Management: Identify and manage data risks, ensuring that governance controls meet all regulatory, security, and assurance needs. Promote Data Literacy: Capture and share governance standards ...