76 to 100 of 305 Metadata Management Jobs

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 ❯

Data Management Associate Manager Location: Edinburgh Salary : Competitive salary package depending on experience Career Level: Associate Manager Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise … communities in which we work and live. It is personal to all of us.” –? Julie Sweet, Accenture CEO As a team: We have an exciting opportunity for a Data Management Associate Manager to join our Data & AI Practice. We deliver scalable, business critical solutions for our clients in the Data Management and Governance team. Our end-to-end … experience allows our Data practitioners to advise on Data management and Strategy, Modelling, MDM, Data Quality, Metadata Management, Data Privacy and compliance through to Data Mesh and Marketplace. Our technology and consulting expertise and breadth skills enables transformational change at any scale. As a Data Management Associate Manager, you will lead the implementation and optimisation of 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

costs, benefits, risks, and dependencies. Own and maintain core architecture artefacts, including: Data architecture policy, standards, and guidelines Data classification and data domain models Data architecture blueprint and lifecycle management process Register of authoritative sources and data security model Develop and maintain data models (conceptual, logical, physical), data flows, and integration patterns. Translate business and regulatory requirements into end … business functions to identify architecture requirements for critical processes and data elements. Partner with IT, service providers, and vendors to deliver the data architecture blueprint. Coordinate with other data management capabilities (data governance, data quality, reporting) to ensure alignment. Contribute architectural input to strategic projects, including delegated authority, claims, finance, and regulatory reporting. What you'll need: Essential Significant … including data security and access control. Experience developing and maintaining architecture artefacts, policies, and standards. Ability to build business cases, including cost/benefit and risk analysis. Familiarity with metadata management, data classification, and authoritative sources. Strong communication and stakeholder management skills, able to engage both technical and business leaders. Desirable London Market or wider insurance industry More ❯

Python, SQL, and Power BI (DAX, Power Query, data modelling). Knowledge of ETL/ELT pipelines, data warehousing, and data mesh architectures. Familiarity with AI/ML applications, metadata management, and data lineage tracking. Excellent communication and stakeholder management skills. Degree in Computer Science, Engineering, Mathematics, or a related STEM discipline. Experience in professional services or More ❯

Python, SQL, and Power BI (DAX, Power Query, data modelling). Knowledge of ETL/ELT pipelines, data warehousing, and data mesh architectures. Familiarity with AI/ML applications, metadata management, and data lineage tracking. Excellent communication and stakeholder management skills. Degree in Computer Science, Engineering, Mathematics, or a related STEM discipline. Experience in professional services or More ❯

Python, SQL, and Power BI (DAX, Power Query, data modelling). Knowledge of ETL/ELT pipelines, data warehousing, and data mesh architectures. Familiarity with AI/ML applications, metadata management, and data lineage tracking. Excellent communication and stakeholder management skills. Degree in Computer Science, Engineering, Mathematics, or a related STEM discipline. Experience in professional services or More ❯

Python, SQL, and Power BI (DAX, Power Query, data modelling). Knowledge of ETL/ELT pipelines, data warehousing, and data mesh architectures. Familiarity with AI/ML applications, metadata management, and data lineage tracking. Excellent communication and stakeholder management skills. Degree in Computer Science, Engineering, Mathematics, or a related STEM discipline. Experience in professional services or More ❯

Python, SQL, and Power BI (DAX, Power Query, data modelling). Knowledge of ETL/ELT pipelines, data warehousing, and data mesh architectures. Familiarity with AI/ML applications, metadata management, and data lineage tracking. Excellent communication and stakeholder management skills. Degree in Computer Science, Engineering, Mathematics, or a related STEM discipline. Experience in professional services or More ❯

with real-time data integration and streaming platforms (Kafka, AWS Glue, etc.Exposure to DevOps, CI/CD pipelines, and version control tools (Git, JenkinsWorking knowledge of data governance and metadata management tools.Background in finance, healthcare, or retail domains is a plus. More ❯