76 to 100 of 130 Metadata Management Jobs in London

asset servicing capabilities. Own the development and execution of the data delivery plan, including source data assessment, data mapping, transformation requirements, validation approach, defect management, reporting readiness, and operational handoff. Partner with clients and internal teams to analyze existing data structures, reporting outputs, operational workflows, and conversion requirements. Drive … level mapping, calculation logic, timing, distribution requirements, and client sign-off. Oversee data profiling, gap analysis, field-level lineage, data quality assessment, reconciliation, exception management, and issue resolution. Define and manage data requirements for fund accounting, investor servicing, regulatory reporting, performance, alternatives administration, portfolio data, reference data, and client ...

managed to high standards across an organisation? Do you enjoy collaborating across business and technical teams to drive adoption of governance, quality, and data management best practices? About the Business At ICIS, our mission is to optimize the world's resources. We help companies make strategic, sustainable decisions … data by transforming information into actionable insights, innovative products, and AI-driven solutions. Our multidisciplinary team spans Data Analytics, Data Engineering, Data Governance & Management, and AI, working together to ensure data is trusted, accessible, and used effectively to drive better decisions, improve business performance, and unlock new opportunities. About ...

stakeholders to enable self‐serve analytics and consumption. Good to Have Experience in banking or financial services data platforms. Familiarity with data governance, metadata management, and regulatory reporting. Personal Qualities High analytical skills. A high degree of initiative and flexibility. High customer orientation. High quality awareness. Excellent verbal ...

containerized services in Kubernetes environments Strong expertise with SQL and NoSQL systems, including schema design and optimization Knowledge of data governance processes, tools, and metadata management solutions Experience with infrastructure as code and platform engineering practices Experience implementing and maintaining CI/CD workflows Understanding of access control ...

architectural integrity rather than hands‐on coding. Ensuring Governance & Quality: Establish Strong Data Governance, partner with the Data Governance Manager to define schema management, metadata frameworks (e.g., OpenMetadata), and data quality controls, promoting data democratisation and self-service. Adhere to Security & Compliance by integrating information security standards ...

support initiatives that improve the quality, consistency and integrity of the Firm's data. The successful candidate will possess strong analytical and stakeholder management skills, enabling them to communicate the objectives and benefits of the Data Strategy effectively at all levels of the organisation and drive the adoption … across business and technology functions. Coordinate Data Governance Forums, ensuring actions, decisions, risks and issues are appropriately documented and tracked. Experience with Data Governance, Metadata Management or Data Catalogue platforms. Experience documenting and maintaining Data Lineage and Business Glossaries. Knowledge of Data Quality frameworks, controls and remediation processes. ...

support initiatives that improve the quality, consistency and integrity of the Firm's data. The successful candidate will possess strong analytical and stakeholder management skills, enabling them to communicate the objectives and benefits of the Data Strategy effectively at all levels of the organisation and drive the adoption … across business and technology functions. Coordinate Data Governance Forums, ensuring actions, decisions, risks and issues are appropriately documented and tracked. Experience with Data Governance, Metadata Management or Data Catalogue platforms. Experience documenting and maintaining Data Lineage and Business Glossaries. Knowledge of Data Quality frameworks, controls and remediation processes. ...

data migration lifecycle-from initial discovery, inventory, and data mapping to complex transformation, execution, and final reconciliation. You will navigate complex data models, metadata, and large-scale relational structures, ensuring clean, fully validated, and seamless migration to modern cloud environments. Essential Criteria 8-10+ years of dedicated experience … Execution, and Post-migration Validation. Hands-on proficiency with Azure DevOps, Git, and modern CI/CD deployment practices. Deep understanding of data modeling, metadata management, and data lineage. Desirable Experience Experience migrating legacy systems into Azure or Microsoft Fabric . Prior background in Financial Services working ...

data migration lifecycle-from initial discovery, inventory, and data mapping to complex transformation, execution, and final reconciliation. You will navigate complex data models, metadata, and large-scale relational structures, ensuring clean, fully validated, and seamless migration to modern cloud environments. Essential Criteria 8-10+ years of dedicated experience … Execution, and Post-migration Validation. Hands-on proficiency with Azure DevOps, Git, and modern CI/CD deployment practices. Deep understanding of data modeling, metadata management, and data lineage. Desirable Experience Experience migrating legacy systems into Azure or Microsoft Fabric . Prior background in Financial Services working ...

trusted to support decision-making. Working collaboratively with data engineers, analysts and stakeholders across the Law Society, you will help embed good data management practices, enhance data governance and enable colleagues to confidently access, understand and use data to drive business outcomes. This is an exciting opportunity to join … skills and practical experience using Python for data analysis and data quality activities, together with a solid understanding of data governance, master data management, metadata, lineage, classification, data quality frameworks, data lifecycles and maturity models. You will also have a good understanding of data protection, GDPR, data security ...

explain complex technical concepts to diverse stakeholders Experience working in regulated environments (aviation, financial services, healthcare, or similar) Familiarity with data governance, lineage, metadata management, and audit requirements Experience overseeing third-party vendors or delivery partners Exposure to modern data platforms supporting analytics and BI workloads Technical Skills ...

ensure that data solutions are scalable, secure and fit for purpose. The role combines hands-on data architecture, client consulting, technical leadership and people management, making it well suited to an experienced Data Architect who is ready to take greater ownership of both technical delivery and the development … regulatory requirements. Establish and promote data architecture standards, patterns, methodologies and best practices. Support the resolution of complex data definition, ownership, mastering and information-management challenges. Contribute to solution-level and enterprise data architecture decisions where required. Evaluate and recommend appropriate data technologies and products based on client requirements. ...

practices around security, scalability, performance and cost optimisation . Provide technical leadership, architecture governance and design documentation across data initiatives. Develop data quality, governance, metadata and data management frameworks. Explore how AI and Machine Learning can enhance data solutions through automation, anomaly detection and predictive data quality. Translate … Engineering/Data Architecture , with strong experience designing ETL processes, data pipelines and data storage solutions. Previous experience working within a technology, data or management consultancy in a client-facing capacity. Experience leading data engineering projects, workstreams or technical teams. Strong knowledge of cloud data platforms and modern data ...

semantic foundation for data exchange, AI training, and digital twin deploymentDevelop and lead the data fabric product architecture, including federated access, streaming pipelines, virtualization, metadata management, and lineage trackingTranslate data architecture vision into scalable, cloud-native and microservices-based implementations in collaboration with engineering teamsDefine and deliver … communications systems concentration, or equivalent experienceExperience: 15+ years of experience in the telecom software industry with at least 5+ years of product line management experienceApplication of telecom data modeling, schema design, graph or ontology structures, and enterprise data management toolsApplication of AI and ML data requirements including feature ...

Create an AI‐ready foundation that enables future innovation Establish trusted data governance Embed enterprise‐wide data governance and ownership Improve data quality, standards, metadata management and accessibility Create a culture where data is treated as a strategic asset Champion data literacy and accountability across the organisation Accelerate … track record of modernising complex legacy data environments Experience leading major cloud data platform programmes, ideally on GCP Strong expertise in data governance, quality, metadata and operating models Experience enabling AI, machine learning and advanced analytics adoption Demonstrable success delivering measurable business value through data and technology investment Essential ...

Syndicate (MRSL) in a cross-functional team of architects from business and technologyCreate the design of Munich Res pillars for Data Governance, Metadata Management, MDM, Data Quality, Data Warehousing, Sourcing and Staging of data, BI, Advanced Analytics and R&D in close alignment with business functions and enterprise … Information managementManage the Information Management framework, architecture, processes, and solutionsBe responsible for strategic roadmaps that describe the journey to target state for all Data & Analytics domainsResponsible for implementation of the data quality strategyReview third parties' high-level designs and implementations to ensure quality, coherence and consistency with MR Specialty ...

quality, security, and compliance. Experience setting up and working with in a Data Office that defines the above policies Proficiency in data cataloguing and metadata management tools such as Collibra, Atlan, Informatica, or similar platforms. Knowledge of data lineage, stewardship, and data quality management, using relevant tools … Stay up-to-date with latest trends, technologies, and regulatory changes relevant to client industries. Key Requirements: Significant consulting experience, ideally within a leading management consulting firm. Proven track record of delivering successful large-scale projects and driving measurable client impact. Outstanding communication, leadership, and stakeholder management skills. ...

Data cataloguing tools — Collibra, Alation, Informatica ETL pipelines and data lineage concepts Security & Privacy SIEM/DLP tools integration (Splunk, Microsoft Purview) Identity & Access Management basics (IAM, RBAC) Encryption, tokenization, and data masking techniques Scripting & Automation Python/Bash for automation and data profiling scripts REST API integration … preferred) Track record managing complex, multi-stakeholder engagements Must-Have Knowledge GDPR, DPDP Act, CCPA/CPRA, HIPAA — practical application Data classification frameworks and metadata management Cloud-native data architectures and hybrid environments Certifications (Preferred) BigID Certified Professional CIPP/E, CIPM (IAPP) Soft Skills Exceptional client communication ...

Defining semantic data layers, standards and governance practices that ensure consistency, quality and efficiency across the data platform. Managing logical and physical data models, metadata, business glossaries and data flows across the organisation. Partnering with Data Engineers, Analytics Engineers and senior technology stakeholders to deliver scalable solutions. Providing architectural … analytical data models across complex environments. Azure Data Lakehouse and Medallion Architecture environments. Semantic layer design and curated data model development. Data governance, metadata management and architecture standards. THE BENEFITS: You will receive a salary of up to £90,000 depending on experience. HOW TO APPLY: Please register ...

including data flows, data domains and data ownership considerations. Specify Apache NiFi architecture patterns, flow standards, interface contracts and reusable ingestion components. Define governance, metadata, lineage, auditability, security monitoring and data quality requirements. Produce High Level Designs, Low Level Design principles, Architecture Decision Records and design assurance material. Define … JSON, Parquet, Avro and proprietary formats. Experience designing solutions that operate across multiple security classifications and secure domains. Strong knowledge of data governance, lineage, metadata management, data quality, access control and auditability. Ability to define clear interface contracts, data mappings, transformation rules and secure data exchange patterns. Strong ...

Work with client business and technical teams to understand requirements and translate them into scalable cloud solutions. Establish best practices for data governance, security, metadata management, and data quality. Ensure compliance with enterprise security standards using IAM, encryption, audit logging, and networking best practices. Provide technical leadership, mentor ...

logical and physical). Experience with modern data platforms, data warehouses and cloud-based data solutions. Strong understanding of data governance, data quality and metadata management. Excellent stakeholder engagement and communication skills. Essential Requirements To be considered for this role, you must hold: Live SC (Security Check) clearance Live ...

Governance across Drax, ensuring appropriate frameworks, policies, standards and controls are in place. Working across strategic programmes, you'll support compliance, audit and risk management activities, oversee data quality and critical data governance, and help embed effective governance operating models, roles and responsibilities. You'll drive the adoption … metadata, data catalogue and lineage capabilities, support AI governance and model oversight, facilitate governance forums, and provide KPI reporting and insight to senior stakeholders. You'll also play a key role in enabling the safe, compliant and scalable use of Data and AI, while promoting governance awareness, responsible ...

friendly guides for automated tools and reports. Mentor junior analysts and contribute to team knowledge sharing. About You Minimum5+ yearsof data analytics experience ininvestment management,finance, or a related domain. Aquantitative degree(e.g., Mathematics, Statistics, Computer Science, Engineering, Finance) is a plus. Solid understanding offinancial instruments,portfolio analytics, andperformance … with scalable, automated workflows that improve accuracy and efficiency for the finance team. Experience withAgile methodologiesor working in aproduct-oriented environment. Familiarity withdata governance,metadata management, andcompliance. Ability tomentor junior analystsor contribute to team knowledge sharing. Comfortable working in afast-paced, high-stakes environmentwith tight deadlines. About ...

forward so you can thrive professionally and personally. What this job involves: This position will be responsible for Data Governance initiatives such as metadata management and performing analysis on Capital Markets data in order to propose quality rules and data standards that will improve overall Data Quality within … standards, defining, and recording relevant attributes, and documenting the data standards landscape. Partner with Capital Markets product and engineering teams in the kickoff and management of various data ownership governing bodies. Develop business requirements documents for business needs and proposed enhancements to Data Governance components. Drive awareness and adoption ...