76 to 100 of 307 Permanent Metadata Management Jobs

Data Management Lead London - Hybrid Up to £100,000 + bonus VIQU has partnered with one of the UK’s leading brands, currently seeking a Data Management Lead to join their developing data team as they continue to go from strength to strength. Committed to excellence, they … data and technology. The organisation has restructured its operations to better serve customers, adopt cutting-edge technologies, and drive exceptional business growth. The Data Management Lead will work closely with data governance, engineering and business teams, playing a key role in shaping and managing the organisation’s data practices. ...

future of Asset & Wealth Management. Your expertise will empower teams to make informed decisions and deliver value to our clients. As an Asset & Wealth Management Index Data Owner, VP in the Index Product Team, you will execute critical data management activities that support strategic business and product objectives. … data delivery partners and consumers. Your leadership will help drive innovation and maintain high standards for data integrity and compliance. Job Responsibilities: Execute data management and data risk responsibilities across the entire data lifecycle Ensure responsible use, sharing, and protection of data, maintaining quality and reliability Define, describe ...

oversight structures. Required Experience Proven experience establishing and leading data governance, risk, and control frameworks within large enterprise environments. Strong background in data risk management, issue management, remediation tracking, and controls monitoring. Experience working within regulated industries, ideally financial services, banking, insurance, or similar environments. Hands-on experience … managing governance activities through Jira or similar workflow management tools. Strong understanding of control frameworks, evidence requirements, audit readiness, and risk management principles. Experience developing governance dashboards, metrics, and management reporting. Ability to engage senior business and technology stakeholders and drive accountability across multiple teams. Understanding ...

protected and compliant with regulatory requirements. Working across business and technology functions, you will define the standards, policies and controls that underpin effective data management while supporting the organisation's growing use of analytics, automation and AI. You will act as the central point of expertise for data governance … will: Lead the development, implementation and continuous improvement of the firm's data governance framework. Define and maintain data quality standards, ownership models, metadata management and data lineage documentation. Drive data classification and access control practices across case management, finance and CRM systems. Establish and monitor data ...

protected and compliant with regulatory requirements. Working across business and technology functions, you will define the standards, policies and controls that underpin effective data management while supporting the organisation's growing use of analytics, automation and AI. You will act as the central point of expertise for data governance … will: Lead the development, implementation and continuous improvement of the firm's data governance framework. Define and maintain data quality standards, ownership models, metadata management and data lineage documentation. Drive data classification and access control practices across case management, finance and CRM systems. Establish and monitor data ...

protected and compliant with regulatory requirements. Working across business and technology functions, you will define the standards, policies and controls that underpin effective data management while supporting the organisation's growing use of analytics, automation and AI. You will act as the central point of expertise for data governance … will: Lead the development, implementation and continuous improvement of the firm's data governance framework. Define and maintain data quality standards, ownership models, metadata management and data lineage documentation. Drive data classification and access control practices across case management, finance and CRM systems. Establish and monitor data ...

maintain data roadmaps aligned with organizational goals and technology strategies. Establish data architecture principles that promote scalability, performance, security, and accessibility. Data Integration & Management Design and develop data integration solutions and pipelines to consolidate data from multiple internal and external sources. Define and implement data flow, transformation, and storage … accuracy, and integrity across platforms. Data Governance & Compliance Partner with business and technology leaders to establish data governance policies and procedures. Define data standards, metadata management practices, and master data management strategies. Ensure compliance with data privacy, security, and regulatory requirements. Support audit and risk management ...

business objectives and measurable outcomes. Data Strategy, Governance & Semantic Technologies: Help clients establish trusted and connected R&D data foundations through governance, master data management, interoperability, metadata management, and modern data architectures. Lead the application of semantic technologies, ontologies, RDF-based knowledge graphs, and common data models … create a shared understanding of scientific, research, preclinical, and clinical information across systems. Enable advanced analytics, scientific knowledge management, intelligent automation, and AI-powered decision support while ensuring compliance, data integrity, traceability, and governance across the R&D landscape. AI & Intelligent R&D: Identify and shape high-value opportunities ...

giving investors the best chance of investment success. The Operations Data Steward is a first-line business role accountable for the day-to-day management, maintenance and governance of data across UK Personal Investor (UKPI) Operations. The role ensures that operational data is accurate, complete, appropriately controlled, compliant … enterprise standards into effective operational practice. The role owns execution of agreed data governance activities across the operational data lifecycle, including data inventory and metadata, critical data elements, lineage, data quality, retention, control evidence and remediation. It provides informed challenge, escalates material risks or non-compliance and drives issues ...

team is over 60,000 strong, with more than 50 offices spanning six continents. For information, visit www.exlservice.com. BU/Segment: Analytics/Data Management/Insurance Domain Location: London, United Kingdom (Hybrid, 3-4 days in the office) Employment Type: Permanent to start ASAP Summary of the role … essential for the role: Insurance industry experience is essential , with a strong understanding of policy, claims, and regulatory data. Minimum of 5 years’ management experience required – leading technical delivery or overseeing project teams within data engineering or integration environments. 8–10 years’ experience in data engineering and integration , ideally ...

shaping data architecture, roadmaps, and solutions that directly address the challenges and opportunities of our business areas. This role requires expertise in modern data management and analysis technologies, alongside a deep understanding of corporate data management best practices. As we operate in Architecture, Engineering and Construction … stack and its components. Previous engagement in establishing data architecture and data governance. Experience in leading data modelling, database design, data warehousing, master data management, data governance practices. Strong skills in data modelling, ETL processes and data integration, having worked with data platform teams. Experience in securing and protection ...

entire solution lifecycle. Define enterprise and solution-level data architectures. Design conceptual, logical and physical data models. Develop data strategies, gvernance frameworks and information management approaches. Design secure and scalable data integration patterns across complex technology landscapes. Produce architecture artefacts aligned to enterprise architecture frameworks and business strategies. Support … Secure Government Data Architecture Practice. About you Technical expertise Area: Enterprise Data Architecture; Solution Data Architecture; Data Strategy; Information Architecture; Data Modelling; Data Governance; Metadata Management; Master Data Management; Data Quality; Reference Data. Cloud Platforms: Microsoft Azure; AWS; GCP. Modern Data Platforms: Databricks; Microsoft Fabric; PostgreSQL. Data ...

skills, knowledge and experience will you need? Expertise in data architecture design, modelling, patterns, tools and standards. Strong knowledge of data modelling, Master Data Management (MDM), metadata management and data governance. Knowledge of event-driven architectures, including pub-sub and data streaming patterns. Proven track record … data challenges and define solutions that are secure, scalable and aligned with organisational goals. You'll lead the design and development of data models, metadata frameworks and other key data architecture artefacts ensuring data is structured, managed and governed effectively. Your work will support informed decision making and enable ...

skills, knowledge and experience will you need? Expertise in data architecture design, modelling, patterns, tools and standards. Strong knowledge of data modelling, Master Data Management (MDM), metadata management and data governance. Knowledge of event-driven architectures, including pub-sub and data streaming patterns. Proven track record … data challenges and define solutions that are secure, scalable and aligned with organisational goals. You'll lead the design and development of data models, metadata frameworks and other key data architecture artefacts ensuring data is structured, managed and governed effectively. Your work will support informed decision making and enable ...

skills, knowledge and experience will you need? Expertise in data architecture design, modelling, patterns, tools and standards. Strong knowledge of data modelling, Master Data Management (MDM), metadata management and data governance. Knowledge of event-driven architectures, including pub-sub and data streaming patterns. Proven track record … data challenges and define solutions that are secure, scalable and aligned with organisational goals. You'll lead the design and development of data models, metadata frameworks and other key data architecture artefacts ensuring data is structured, managed and governed effectively. Your work will support informed decision making and enable ...

learn every day and help shape a more sustainable future. What you’ll do Privacy Governance: Develop, maintain, and enhance the organisation's Privacy Management Framework ensuring compliance with GDPR, UK data protection, and other global privacy laws. Support Privacy by Design and Default principles across projects and business … governance frameworks, policies, and standards. Drive adoption of governance practices globally, establish data ownership and stewardship models, and facilitate governance forums. Support data quality, metadata, lifecycle, and master data management practices to promote data integrity and trustworthiness. Risk, Compliance & Controls: Design and maintain privacy and data governance controls ...

giving investors the best chance of investment success. The Operations Data Steward is a first-line business role accountable for the day-to-day management, maintenance and governance of data across UK Personal Investor (UKPI) Operations. The role ensures that operational data is accurate, complete, appropriately controlled, compliant … translate enterprise standards into effective operational practice.The role owns execution of agreed data governance activities across the operational data lifecycle, including data inventory and metadata, critical data elements, lineage, data quality, retention, control evidence and remediation. It provides informed challenge, escalates material risks or non-compliance and drives issues ...

optimise data pipelines supporting both batch and real-time processing. Lead data integration, transformation, and migration initiatives. Establish and maintain data governance, data quality, metadata management, and security frameworks. Collaborate with engineering, architecture, and business stakeholders to deliver impactful solutions. Evaluate emerging technologies and recommend innovative approaches … vector databases, embeddings, and LLM integrations. Experience with both batch and streaming/real-time data processing. Strong understanding of data governance, quality management, lineage, and metadata frameworks. Excellent stakeholder engagement and communication skills with the ability to translate complex technical concepts into business outcomes. Desirable Experience within ...

diverse business units to create a cohesive, single source of truth. Ensures data structures are optimized for performance, scalability, security, and cost-efficiency. Stakeholder Management: Liaises directly with senior leadership, product owners, and business analysts to translate business strategy into technical data requirements. Guides and directs engineering, application … frameworks (e.g., TOGAF, DAMA-DMBOK) and modern paradigms like Data Mesh. Project Leadership: Proven history of leading high‐impact migration, modernization, or master data management (MDM) projects that shape overarching corporate data policies. Technical & Business Skills: Data Architect: Expert proficiency in cloud data platforms (e.g. Snowflake, AWS, Azure). ...

Controlled Vocabularies with Business Partners and the Chief Data Office. Create and maintain accurate, complete, and consistent governed Data Models with lineage and metadata to facilitate traceability to other metadata classification such as Data Concepts. Guides evaluation of current technology and leads evaluation of new technologies using existing … processes. Serves as a function-wide subject matter expert in one or more areas of focus. Standardize and innovate Operational and Analytical Data Management in accordance with Reference Architectures and Operating Models. Adds to team culture of diversity, opportunity, inclusion, and respect. Required Qualifications, Capabilities, and Skills Hands ...

they can be readily maintained and enhanced. This encompasses the design and architecture of logical and physical data models and schemas, data transport mechanisms, metadata management, lineage management, API schema design and enabling SIX financial information to be accessible to AI agents. What You Will Do Design … have a core foundation on which we can readily build new revenue generating products. Develop and maintain design, naming conventions, dictionaries, lineage and metadata standards, collaborating with data quality teams to ensure models support validation rules. Partner with stakeholders across the business to translate complex data concepts and requirements ...

competing priorities across business and technical teams. Experience mentoring analysts and working closely with architects, engineers, and delivery leads. Excellent communication and stakeholder-management skills, with the ability to engage audiences at all organisational levels. Experience working within highly regulated or governance-heavy environments, ideally including government or regulated … capability. Data modelling expertise, including dimensional modelling and enterprise data concepts. Experience delivering business intelligence, dashboarding, and reporting solutions. Strong understanding of data governance, metadata management, lineage, and data quality principles. Cloud & Data Platforms Experience with one or more of: Microsoft Fabric Databricks Snowflake AWS Data Services Azure ...

Senior Data Management Professional - Data Quality - Entities Data (Private Markets) Location London Business Area Data Ref # 10052950 Description & Requirements Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock – from around … underpins foundational reference data, private markets, and risk management. The team partners closely with Engineering, Product, and other Data groups to ensure our data management processes, ingestion pipelines, quality controls, and delivery methods evolve with market needs.What’s the Role As a Data Quality Manager, you will define ...

they can be readily maintained and enhanced. This encompasses the design and architecture of logical and physical data models and schemas, data transport mechanisms, metadata management, lineage management, API schema design and enabling SIX financial information to be accessible to AI agents. What You Will Do Design … have a core foundation on which we can readily build new revenue generating products. Develop and maintain design, naming conventions, dictionaries, lineage and metadata standards, collaborating with data quality teams to ensure models support validation rules. Partner with stakeholders across the business to translate complex data concepts and requirements ...

Microsoft Fabric, Azure Data Services, SQL, and Power BI, you will ensure data is managed effectively throughout its lifecycle, and contribute to effective Information Management across all teams and business functions. The role combines strong technical expertise with stakeholder engagement, requiring the ability to translate business requirements into sustainable … data solutions while promoting best practice in data engineering, governance, information management, automation, and cyber security. Role accountabilities:Design, develop, and maintain scalable data pipelines, integrations, and transformation processes across multiple data sources.Lead the implementation and optimisation of Microsoft Fabric and associated cloud-based data engineering solutions.Build and maintain ...