76 to 100 of 283 Permanent Metadata Management Jobs

The Role We are seeking a Data Steward to ensure data quality, governance, and compliance across critical operational datasets, enabling reliable analytics and reporting. The role focuses on managing metadata, monitoring data reliability, and supporting business users in leveraging trusted and high-quality data. Key Responsibilities Data Governance & Stewardship Define and enforce data governance standards, policies, and processes across … operational datasets. Collaborate with business stakeholders to document business definitions, data ownership, and stewardship guidelines. Maintain data dictionaries, metadata, and lineage using Atlan. Data Management & Quality Serve as the technical lead for Data Management and Quality. Develop technical designs for data management frameworks and ensure integration within people, tools, and business processes. Monitor adherence to data … management best practices across the organisation. Data Quality & Reliability Monitor and ensure data accuracy, completeness, timeliness, and consistency across systems. Utilise Monte Carlo for data observability, proactively detecting and resolving data quality issues. Work with data engineering teams to establish validation, profiling, and anomaly detection frameworks. Stakeholder Engagement & Support Act as a bridge between business and technical teams, ensuring More ❯

of eLearning modules with Articulate or Captivate. * Legal training experience a plus. * Advanced knowledge of Microsoft Office 2016 in addition to other relevant legal applications (time recording systems, expense management systems, metadata management systems, document comparison systems, workflow management systems, electronic signature systems, PDF converters). * Proficiency in iManage document management system applications (FileSite, iManage More ❯

in Specialty/London Markets Insurance* Key Responsibilities: Conduct a comprehensive review of existing data architecture across regional divisions. Identify gaps, inconsistencies, and key person dependencies in current data management and reporting processes. Develop recommendations for a scalable, repeatable enterprise-wide data architecture framework. Collaborate with internal teams leading governance and process standardisation. Define best practices for data lineage … metadata management, and documentation. Advise on integration and harmonisation of reporting platforms (SQL, PowerBI, Tableau, Python). Support the creation of robust controls and standardised processes for regulatory reporting. Ensure architectural recommendations align with business goals and regulatory requirements. Essential Experience: Previous experience within Specialty/London Markets insurance Proven track record as a Senior Data Architect in … complex, multi-region environments. Deep expertise in data strategy, governance, and data management frameworks. Strong understanding of data lineage, metadata, and documentation standards. Experience working with insurance or financial services data. Familiarity with reporting tools and platforms: SQL, PowerBI, Tableau, Python. Ability to work with cross-functional teams and influence senior stakeholders. Experience designing scalable data architectures for More ❯

in Specialty/London Markets Insurance* Key Responsibilities: Conduct a comprehensive review of existing data architecture across regional divisions. Identify gaps, inconsistencies, and key person dependencies in current data management and reporting processes. Develop recommendations for a scalable, repeatable enterprise-wide data architecture framework. Collaborate with internal teams leading governance and process standardisation. Define best practices for data lineage … metadata management, and documentation. Advise on integration and harmonisation of reporting platforms (SQL, PowerBI, Tableau, Python). Support the creation of robust controls and standardised processes for regulatory reporting. Ensure architectural recommendations align with business goals and regulatory requirements. Essential Experience: Previous experience within Specialty/London Markets insurance Proven track record as a Senior Data Architect in … complex, multi-region environments. Deep expertise in data strategy, governance, and data management frameworks. Strong understanding of data lineage, metadata, and documentation standards. Experience working with insurance or financial services data. Familiarity with reporting tools and platforms: SQL, PowerBI, Tableau, Python. Ability to work with cross-functional teams and influence senior stakeholders. Experience designing scalable data architectures for More ❯

in Specialty/London Markets Insurance* Key Responsibilities: Conduct a comprehensive review of existing data architecture across regional divisions. Identify gaps, inconsistencies, and key person dependencies in current data management and reporting processes. Develop recommendations for a scalable, repeatable enterprise-wide data architecture framework. Collaborate with internal teams leading governance and process standardisation. Define best practices for data lineage … metadata management, and documentation. Advise on integration and harmonisation of reporting platforms (SQL, PowerBI, Tableau, Python). Support the creation of robust controls and standardised processes for regulatory reporting. Ensure architectural recommendations align with business goals and regulatory requirements. Essential Experience: Previous experience within Specialty/London Markets insurance Proven track record as a Senior Data Architect in … complex, multi-region environments. Deep expertise in data strategy, governance, and data management frameworks. Strong understanding of data lineage, metadata, and documentation standards. Experience working with insurance or financial services data. Familiarity with reporting tools and platforms: SQL, PowerBI, Tableau, Python. Ability to work with cross-functional teams and influence senior stakeholders. Experience designing scalable data architectures for More ❯

Databricks Certified, AWS/Azure/GCP Data Engineering certifications) Experience with DataOps, CI/CD practices, and infrastructure-as-code Knowledge of data governance, data quality frameworks, and metadata management Benefits: Hybrid/remote working environment, allowing you a flexible work-life balance to thrive both in the office and from the comfort of your home Competitive More ❯

Databricks Certified, AWS/Azure/GCP Data Engineering certifications) Experience with DataOps, CI/CD practices, and infrastructure-as-code Knowledge of data governance, data quality frameworks, and metadata management Benefits: Hybrid/remote working environment, allowing you a flexible work-life balance to thrive both in the office and from the comfort of your home Competitive More ❯

Databricks Certified, AWS/Azure/GCP Data Engineering certifications) Experience with DataOps, CI/CD practices, and infrastructure-as-code Knowledge of data governance, data quality frameworks, and metadata management Benefits: Hybrid/remote working environment, allowing you a flexible work-life balance to thrive both in the office and from the comfort of your home Competitive More ❯

Databricks Certified, AWS/Azure/GCP Data Engineering certifications) Experience with DataOps, CI/CD practices, and infrastructure-as-code Knowledge of data governance, data quality frameworks, and metadata management Benefits: Hybrid/remote working environment, allowing you a flexible work-life balance to thrive both in the office and from the comfort of your home Competitive More ❯

Databricks Certified, AWS/Azure/GCP Data Engineering certifications) Experience with DataOps, CI/CD practices, and infrastructure-as-code Knowledge of data governance, data quality frameworks, and metadata management Benefits: Hybrid/remote working environment, allowing you a flexible work-life balance to thrive both in the office and from the comfort of your home Competitive More ❯

Databricks Certified, AWS/Azure/GCP Data Engineering certifications) Experience with DataOps, CI/CD practices, and infrastructure-as-code Knowledge of data governance, data quality frameworks, and metadata management Benefits: Hybrid/remote working environment, allowing you a flexible work-life balance to thrive both in the office and from the comfort of your home Competitive More ❯

a positive difference to the lives of our clients, customers, colleagues, shareholders, and society.We are focused on growing our direct and advised wealth platforms and repositioning our specialist asset management business to meet client demand. We are committed to providing excellent client service, supported by leading technology and talent.Aberdeen comprises three businesses, interactive investor (ii), Investments, and Adviser, each … DAMA-DMBOK to guide enterprise data strategy and governance. Design and implement data integration pipelines using ETL/ELT methodologies and API-driven architectures. Oversee data governance initiatives including metadata management, data quality, and master data management (MDM). Evaluate and integrate big data technologies and streaming platforms such as Apache Kafka and Apache Spark. Collaborate with More ❯

reputation is built on a comprehensive suite of engineering services, a dedication to solving clients’ toughest technology problems, and a commitment to continuous improvement. Backed by Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence of 15 offices (and 10 delivery centers) across four continents. Job Overview We are seeking a highly skilled and detail … solutions align with audit objectives. Perform comprehensive data analysis, validation, and integrity checks. Data Governance & Documentation Ensure compliance with data governance standards and regulatory requirements. Maintain accurate data dictionaries, metadata , and workflow documentation for transparency and team collaboration. Optimization & Best Practices Optimize dashboard and data pipeline performance through best practices in data visualization and coding standards . Contribute to … Have Experience with data modeling tools such as ER Studio, PowerDesigner , or Lucidchart . Background in financial services, banking , or regulatory environments . Familiarity with internal audit processes , risk management , or compliance frameworks . Understanding of data lineage , data governance tools , and best practices in metadata management . Why Join Us? Work on impactful projects that support More ❯

Overview Senior Data Management Professional - Data Product Owner - EVTS Location: London Business Area: Data Ref #: Description 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 the world. In Data, we are responsible for delivering this data, news and … structured execution rigor while bringing creativity and flexibility to problem-solving. Influence and align partners, communicating data vision, strategic priorities, and execution plans across cross-functional teams. Establish vendor management frameworks, negotiating contracts, optimizing pricing strategies, and ensuring vendors deliver on cost, quality, and service expectations. Drive automation initiatives for EVTS Calendar Data, building partnerships with global exchanges and … candidates who are able to demonstrate the skills necessary for the role. Bachelor's Degree or equivalent professional work experience. 4+ years of proven experience in product ownership, data management, or similar roles. Strong understanding of speech-to-text/ASR technology and experience evaluating model performance, quality metrics, and backtesting frameworks. A solid grasp of data management More ❯

Senior Data Management Professional - Data Product Owner - EVTS Location London Business Area Data Ref # 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 the world. In Data, we are responsible for delivering this data, news and … structured execution rigor while bringing creativity and flexibility to problem-solving. Influence and align partners, communicating data vision, strategic priorities, and execution plans across cross-functional teams. Establish vendor management frameworks, negotiating contracts, optimizing pricing strategies, and ensuring vendors deliver on cost, quality, and service expectations. Drive automation initiatives for EVTS Calendar Data, building partnerships with global exchanges and … candidates who are able to demonstrate the skills necessary for the role. Bachelor's Degree or equivalent professional work experience. 4+ years of proven experience in product ownership, data management, or similar roles. Strong understanding of speech-to-text/ASR technology and experience evaluating model performance, quality metrics, and backtesting frameworks. A solid grasp of data management More ❯

and physical data models that support enterprise analytics and reporting. Translate business requirements into scalable, reusable data models aligned with data architecture principles and governance frameworks. Create and maintain metadata, data definitions, lineage, and master data management (MDM) structures to ensure clarity and consistency. Partner with stakeholders to document and communicate data flows, relationships, and definitions for both … Visio, Lucid). Experience with cloud data platforms, particularly Microsoft Azure and Databricks, for data integration and analytics. Experience working with ERP and CRM systems. Understanding of data governance, metadata management, data lineage, and MDM strategies. Excellent communication skills, with the ability to present technical concepts to business and technical audiences. Preferred Qualifications: Professional certifications in data management More ❯

of a successful application to this job by ensuring your CV and skills are a good match. About the Role: Job Title – Security Services Operations SME – Reference & Master Data Management Experience Location – Edinburgh, UK Mode of Work – Hybrid 2 Days Onsite in Week Type of Hiring – Permanent OR Fixed Term Employment Business Division: Investment Banking – Operations/Security Services … master data. Required Skills & Experience: 10+ years of experience in Investment Banking Operations or Security Services (Custody/Asset Servicing/Fund Accounting). Proven expertise in Reference Data Management and Master Data within large-scale data transformation programs. Strong understanding of instrument data, client hierarchies, and account structures across asset classes (Equities, Fixed Income, Derivatives). Experience with … data governance tools and reference data platforms (e.g., Golden Source, Bloomberg, EDM, Markit, Smart Stream, or internal MDM systems). Familiarity with data modelling, lineage, and metadata management principles. Ability to interpret and translate operational requirements into data management and technology solutions. Hands-on exposure to SQL, data analysis tools, and reporting frameworks advantageous. Excellent stakeholder management More ❯

BI capability, balancing in-house skills with managed service partners. Oversee the delivery of reliable, automated pipelines for ingestion, transformation, and quality assurance of data. Introduce modern tools for metadata management, lineage, cataloguing and access controls (e.g. Purview). Governance & Risk Ensure data platforms and processes adhere to best-practice security models (Entra, IAM, conditional access). Embed … ability across SQL, Python, ETL/ELT, APIs and cloud-native data services. Experience introducing AI/ML and advanced analytics capabilities into operational and decisioning contexts. Strong stakeholder management skills, able to translate technical concepts into business value for executives and non-technical teams. Track record of leading small, high-performing data teams and managing external partners. More ❯

stored procedures, and performance-tuned scripts. Collaborate with data analysts, data scientists, and business stakeholders to understand requirements and deliver data-driven solutions. Implement best practices for data quality, metadata management, and data governance. Monitor and troubleshoot data pipelines to ensure reliability and accuracy. Required Qualifications Bachelor's degree in Computer Science, Information Technology, or a related field More ❯

and data governance Implement data quality monitoring and alerting processes. Work with data governance teams to ensure compliance with data governance policies and standards. Implement data lineage tracking and metadata management processes. Collaboration & Communication: Collaborate closely with data scientists, economists, and other technical teams to understand data requirements and translate them into technical solutions. Communicate technical concepts effectively More ❯

and data governance Implement data quality monitoring and alerting processes. Work with data governance teams to ensure compliance with data governance policies and standards. Implement data lineage tracking and metadata management processes. Collaboration & Communication: Collaborate closely with data scientists, economists, and other technical teams to understand data requirements and translate them into technical solutions. Communicate technical concepts effectively More ❯

and data governance Implement data quality monitoring and alerting processes. Work with data governance teams to ensure compliance with data governance policies and standards. Implement data lineage tracking and metadata management processes. Collaboration & Communication: Collaborate closely with data scientists, economists, and other technical teams to understand data requirements and translate them into technical solutions. Communicate technical concepts effectively More ❯

and data governance Implement data quality monitoring and alerting processes. Work with data governance teams to ensure compliance with data governance policies and standards. Implement data lineage tracking and metadata management processes. Collaboration & Communication: Collaborate closely with data scientists, economists, and other technical teams to understand data requirements and translate them into technical solutions. Communicate technical concepts effectively More ❯

and data governance Implement data quality monitoring and alerting processes. Work with data governance teams to ensure compliance with data governance policies and standards. Implement data lineage tracking and metadata management processes. Collaboration & Communication: Collaborate closely with data scientists, economists, and other technical teams to understand data requirements and translate them into technical solutions. Communicate technical concepts effectively More ❯

to collaborate across teams. Preferred Qualifications Experience with Databricks Unity Catalog and Delta Live Tables. Familiarity with streaming frameworks (Structured Streaming, Kafka, etc.). Background in data observability and metadata management. Exposure to machine learning pipelines or MLflow within Databricks. Knowledge of infrastructure as code (IaC) using Terraform or similar tools. To apply for this role please email across More ❯