1 to 25 of 26 Metadata Jobs in Central London

Governance and Quality Assurance: Embed governance, security, and data quality practices into engineering workflows. Define guardrails and reference implementations for data access control, data lineage, and compliance. Promote consistent metadata management and enforce technical standards to ensure trust in data assets. Stakeholder Engagement: Collaborate with PN D&A leadership, PN product owners, and segment D&A leadership to synchronize and More ❯

Capability for working with unstructured and semi-structured datasets, transforming raw information into actionable insights. Data Workflow Development: Skilled in developing and maintaining data transformation processes, managing data structures, metadata, workload dependencies, and orchestration frameworks. Large-scale Data Processing: A demonstrated history of manipulating, processing, and extracting value from large, diverse, and disconnected datasets in fast-moving environments. Project Management More ❯

monitoring, and documentation. Exposure to Data Modelling and Warehousing would beneficial as you will need to build data models or migrate existing ones. Drive best practices in data governance , metadata management , and data security . Contribute to the continuous improvement of our data platform and tooling. Required Skills & Experience 35 + years of experience as a Data Analyst , preferably in More ❯

discovery, evaluating source systems and APIs, and creating stories for implementation Collaborate with third parties to ensure interoperability and integration compatibility Champion best practices in warehousing techniques (e.g. Kimball), metadata management, and performance optimisation Support delivery through integration testing, reconciliation, and reporting visualisation (e.g. Power BI, Tableau) About You: Proven experience designing data architectures for large-scale platforms and diverse More ❯

Models using Data Vault and Dimensional modelling methods Implement automated, reusable and efficient batch data pipelines and streaming data pipelines Work closely with Governance and Quality teams to ensure metadata, catalogue, lineage and known solutions to data issues are optimised Work closely with other data specialists and technicians in the organisation, such as Actuarial and Finance, to help with their More ❯

Data Strategy Define and lead enterprise wide data strategy Design and maintain a scalable, secure data architecture Deep understanding of Data Governance, Modern data platforms: Cloud Data quality Management, metadata, lineage and data modelling Experience with Data integration, master data management (MDM) and designing scalable data pipelines Data Privacy, regulatory compliance, and security best practises BI Tools Power BI, Tableau More ❯

up to £500 per day London Hybrid 2/3 days in the office Accountabilities & Responsibilities ·You must possess expert knowledge of the use of data governance, data quality, metadata, profiling, analysis, and data management tools. ·You will have solid experience of being responsible for data governance implementation across the Risk and Finance domains in line with BCBS239 requirements. ·Help More ❯

to work with them on a contract. The responsibilities of a Data Analytics & Management AVP will include: Strong knowledge and expertise in the use of data governance, data quality, metadata, profiling, analysis, and data management tools. Responsible for data governance implementation across the Risk and Finance domains in line with BCBS239 requirements. Support the implementation of the data governance strategy More ❯

continuous improvement in data quality, and ensuring compliance with internal and external regulatory obligations. Key Requirements Strong experience in data governance, regulatory reporting, and data quality management. Proficiency in metadata management and regulatory data documentation. Demonstrated ability to design data controls, perform data profiling, and support remediation planning. Experience building data visualisations and dashboards with Tableau Proficiency in Alteryx, SQL More ❯

and best practices Collaborating with engineers, architects, and stakeholders to align data models with business needs Leading on data integration, transformation, and migration strategies Owning enterprise data models, dictionaries, metadata, and lineage Optimising for performance, scalability, and compliance What we’re looking for: 10+ years in data architecture and modelling Deep experience with 3NF, dimensional, and Vault 2.0 modelling Real More ❯

consistent communication with teams to report progress, risks, and issues. Knowledge, Skills, Experience & Qualifications: Essential: Strong knowledge of Transactional Data types and Bank Products. Expertise in data governance, quality, metadata, profiling, analysis, and management tools. Problem-solving aptitude with effective communication skills. Understanding of enterprise-wide data governance practises. Confident stakeholder engagement abilities. Proficient in Microsoft Office Suite (Word, Excel More ❯

role requires strong analytical capabilities, technical expertise, and an understanding of regulatory data frameworks. Requirements Proven experience in data governance, data quality management, and regulatory reporting. Strong understanding of metadata management and data documentation. Proficiency in data analysis, profiling, and cleansing. Ability to translate business requirements into technical specifications. Experience with data visualisation tools (e.g., Tableau) and data preparation platforms More ❯

tools. The experience you'll need As a Hands-on fixer of data! You'll have to be competent in using SQL for fetching and manipulating data Experience with metadata and Data Quality tools Experience helping develop and implement a Data Management framework, along with embedding policies and processes around this Ensure business rules and validation are fit for purpose More ❯

multi-disciplinary team. Ability to maintain professionalism, integrity and confidentiality. Skilled in the use of IT software applications. Ability to produce high quality, professional reports. Maintaining standards for information metadata tagging and file storage to be accessible to Teams and Forces. Experience of working within a data and analytics environment would be desirable. Experience of working in a projects or More ❯

support data domain stewards during migration. 💼 You Bring: Proven track record delivering data platform and migration initiatives as a Product Manager. Strong knowledge of data contracts , quality KPIs , and metadata standards . Experience in enterprise-scale data transformations and cross-functional collaboration. More ❯

experience as a Product Manager for data platforms, pipelines, or PaaS. Strong familiarity with Azure, Databricks, and data governance frameworks. Deep understanding of data contracts, data quality KPIs, and metadata standards. Experience working in modern data stack environments with cross-functional teams. More ❯

engine algorithm updates and trends. Key Responsibilities Lead SEO initiatives to improve rankings, traffic, and site visibility. Conduct keyword research and identify content opportunities across formats. Optimise site structure, metadata, and on-page elements to support SEO objectives. Track and report on performance using GA4, Google Search Console, and SEO tools. Ensure content meets clinical, brand, and regulatory requirements. Collaborate More ❯

with engineering and design to deliver scalable solutions Drive simplification and bulk configuration capabilities for high-volume administration use cases Prioritise and execute on initiatives related to transaction enrichment, metadata, and financial reporting Use data to validate hypotheses, prioritise features, and measure impact Partner with Product Marketing and Product Education to ensure internal teams and customers are equipped with the More ❯

management matters. Attend key project and governance meetings. Skills & Experience: Relevant RQF Level 3 qualification. Experience with content management systems and database management. Strong technical understanding of taxonomies, glossaries, metadata, and information standards. Excellent stakeholder and risk management capabilities. This role offers a great opportunity to influence how knowledge is captured and shared across high-impact transformation projects. Reasonable Adjustments More ❯

reporting needs in collaboration with business units. Engage with stakeholders to ensure reporting solutions align with business goals. Apply Agile project management principles to deliver iterative improvements. Support ML metadata extraction and integration into reporting workflows. Use scripting languages (e.g., DAX, M, Python, PowerShell) to support data transformation and automation. Qualifications Minimum 3 years of industry experience in a BI … methodologies and tools (e.g., Jira, Azure DevOps). Excellent communication and stakeholder management skills. Ability to work both independently and collaboratively in a hybrid work environment. Experience with ML metadata extraction and scripting languages is a plus. Experience in the procurement or supply chain industry is a nice to have. Bachelor's degree in Computer Science, Information Systems, or related More ❯

The Role: Sitting at the heart of our data transformation, this role supports the development, implementation, and operation of Data Management Frameworks . You’ll be working with metadata management, data harmonisation, quality score carding, data lineage, and profiling —all critical for building robust data governance. What You’ll Be Doing: ✅ Applying SAS and other analytical tools to extract insights … data challenges Who You Are: 🔥 Passionate about data quality and continuously improving processes 📈 Experienced in SAS , SQL, Power BI, and other analytics tools 🛠️ Skilled in data governance, lineage, and metadata management 📚 Familiar with regulatory frameworks like GDPR, BCBS, CCPA More ❯

relevant to analytics covering the full project lifecycle e.g.: requirements gathering, design approvals, development, testing, documentation requirements and release processes. Working knowledge and understanding of data governance, data quality, metadata, profiling, analysis, and data management tools and practices. Analytically minded with the enthusiasm to problem solve and be able to implement and deliver solutions. Strong cataloguing experience Confident stakeholder engagement … skills to communicate within working groups. An understanding of Physical, Logical, and Business Data Models. Understanding of metadata and its importance in cataloguing data outputs for easy access and retrieval. More ❯

Analytics Governance Technical business analyst City of London Hybrid (3/2 split) Contract - 31/3/2026 initially £750 per day (via Umbrella) cer Financial are working alongside an international bank who are based in the City of More ❯

problem-solving, and is excited by the challenge of building scalable governance foundations in a fast-moving R&D environment. What You'll Do Design and implement standards for metadata, documentation, structure, format , and data ownership , ensuring alignment with FAIR principles Coordinate data stewardship efforts across scientific and technical teams (e.g., Data Science, Machine Learning, Wet Lab, Discovery) Lead the … data compliance, quality, and reusability across teams What You'll Bring 5+ years’ experience in scientific data management, data governance, bioinformatics, or data engineering Deep familiarity with FAIR principles, metadata standards , and data catalogue tools Proven ability to work cross-functionally with technical, scientific, and operational teams Hands-on experience with modern data workflows (e.g., Python, data lakes, notebooks, versioning More ❯

to manage backlog, prioritise features and ensure successful rollouts. Ensure Adoption & Training : Build relationships with users across all nine markets, supporting rollout, adoption and ongoing training where needed. Data & Metadata Governance : Ensure the system promotes consistency, discoverability and usage through strong metadata frameworks and user practices. Integration Oversight : Ensure seamless integration between the DAM and other tools in our broadcasting … What You Bring: Proven experience as a Product Owner or Manager for a Digital Asset Management platform, ideally within media, broadcast, or digital publishing. Strong understanding of asset workflows, metadata management and content lifecycle. Experience working in Agile environments with internal and external stakeholders. Excellent communication and stakeholder management skills — you’ll be the bridge between creative teams and tech. More ❯