101 to 125 of 446 Metadata Management Jobs

one objective: facilitating trade by helping our 50,000 corporate clients develop their businesses. With 75 years of experience, Coface is a leader in the credit insurance and risk management market. We have also developed a range of other value-added services, including factoring, debt collection, Single Risk insurance, bonding, and information services. As a close-knit, international organization … business leadership. Support compliance efforts with internal policies and external regulations (e.g., GDPR, HIPAA, CCPA). Qualifications: Bachelor’s or Master’s degree in Information Systems, Computer Science, Data Management, or a related field. 5+ years of experience in data quality , data governance , or data management roles. Strong knowledge of data quality dimensions , data profiling , and root cause … techniques. Proficiency in data quality tools (e.g., Informatica, Talend, Ataccama) and strong SQL skills. Experience with data governance frameworks and working in cross-functional teams. Excellent communication and stakeholder management skills. Familiarity with metadata management , master data management , and data privacy regulations . : Experience in industries like banking, healthcare, insurance, or retail. Experience working with cloud More ❯

support governance, quality, and risk assessment across Risk and Finance data assets. Lead the implementation of data governance initiatives aligned with BCBS239 and enterprise-wide standards. Manage data definitions, metadata, and lineage for high-priority data use cases, ensuring consistency and transparency. Collaborate with stakeholders to align business needs with regulatory requirements and data governance frameworks. Investigate and analyse … within Risk and Finance functions. Strong working knowledge of BCBS239 , particularly as applied in Tier 1 or Tier 2 banking environments. Familiarity with ECB supervisory processes and Operational Risk management . Demonstrated ability to interpret complex data sets and develop meaningful insights to inform governance decisions. Expertise in enterprise data management, including data modelling and metadata management. More ❯

support governance, quality, and risk assessment across Risk and Finance data assets. Lead the implementation of data governance initiatives aligned with BCBS239 and enterprise-wide standards. Manage data definitions, metadata, and lineage for high-priority data use cases, ensuring consistency and transparency. Collaborate with stakeholders to align business needs with regulatory requirements and data governance frameworks. Investigate and analyse … within Risk and Finance functions. Strong working knowledge of BCBS239 , particularly as applied in Tier 1 or Tier 2 banking environments. Familiarity with ECB supervisory processes and Operational Risk management . Demonstrated ability to interpret complex data sets and develop meaningful insights to inform governance decisions. Expertise in enterprise data management, including data modelling and metadata management. More ❯

linked data, and determine the impacts on the future-state enterprise data architecture. Champion efforts to improve business performance through enterprise information solutions and capabilities, such as master data management, metadata management, business intelligence, content management, data integration, and related information management or information infrastructure components. Coordinate the implementation of enterprise data architecture through the … organisation's enterprise data management programmes and govern data architects in the appropriate data modelling and data design activities. Facilitate the development of a corporate data policy that outlines the appropriate data stewardship and data requirements, as well as the service-level agreements, to support the appropriate quality and use of information in business processes. Prepare conceptual and logical … subject area models and implementation-level details that affect the continuum of disciplines involved in the architecture, design, implementation, and management of enterprise information. Knowledge & Experience: Degree level educated or equivalent project-related experience. Experience in large multinational financial services industry. Experience within an enterprise data engineering or architecture role. In-depth experience in designing and implementing enterprise-wide More ❯

one objective: facilitating trade by helping our 50,000 corporate clients develop their businesses. With 75 years of experience, Coface is a leader in the credit insurance and risk management market. We have also developed a range of other value-added services, including factoring, debt collection, Single Risk insurance, bonding, and information services. As a close-knit, international organization … business leadership. Support compliance efforts with internal policies and external regulations (e.g., GDPR, HIPAA, CCPA). Qualifications: Bachelor’s or Master’s degree in Information Systems, Computer Science, Data Management, or a related field. 5+ years of experience in data quality , data governance , or data management roles. Strong knowledge of data quality dimensions , data profiling , and root cause … techniques. Proficiency in data quality tools (e.g., Informatica, Talend, Ataccama) and strong SQL skills. Experience with data governance frameworks and working in cross-functional teams. Excellent communication and stakeholder management skills. Familiarity with metadata management , master data management , and data privacy regulations . Preferred: Experience in industries like banking, healthcare, insurance, or retail. Experience working with More ❯

. Uphold data integrity, security, and quality across systems. Define and advocate for best practices in data modelling standards and methodologies. Support data governance, data lineage, and master data management (MDM) initiatives. Conduct data profiling and remediate data quality issues proactively. Skills & Experience Proven experience in conceptual, logical, and physical data modelling in enterprise environments. Proficient in data modelling … tools, especially ERWIN , with a strong command of ER diagram development. Skilled in requirements gathering, analysis, and documentation for engineering implementation. Familiarity with data governance frameworks, metadata management, and data quality best practices. Strong communication and stakeholder management skills, able to work across technical and non-technical teams. Hands-on experience with Databricks . Analytical thinker with More ❯

mobile, POS, email, app). Ensure architecture supports real-time data flows for triggers, personalization, and loyalty lifecycle messaging. Data Governance & Quality: Establish data governance policies, taxonomy standards, and metadata management practices for loyalty-related data. Ensure data integrity, consistency, and compliance with privacy regulations (GDPR, CCPA, etc.). Work closely with data stewards and engineers to enforce … Support advanced analytics, ML models, and campaign optimization efforts with clean and structured datasets. Evaluate and recommend technologies that enhance loyalty data capabilities (e.g., CDPs, identity resolution tools, consent management). Qualifications: 8+ years of experience in data architecture, data engineering, or enterprise data platforms, with a focus on marketing or customer data. Strong understanding of loyalty program data More ❯

applications • Create and oversee an efficient and effective employee/desktop support model to ensure the business remains productive and impactful, avoiding down time and issues Cyber Security & Risk Management • Develop, implement, and enforce a comprehensive cyber security strategy, including policies, standards, and procedures to protect the organization's systems, data, and digital assets • Lead the creation and maintenance … outages • Conduct ongoing risk assessments and vulnerability analyses across infrastructure, applications, and third-party providers, identifying and addressing potential threats before they impact operations. • Oversee the selection, deployment, and management of security technologies, including but not limited to firewalls, endpoint detection and response (EDR), multi-factor authentication (MFA), encryption, SIEM, and intrusion detection/prevention systems (IDS/IPS … . Data Management & Analytics • Lead the development and enforcement of robust data governance policies, ensuring data is accurate, secure, and used responsibly across the organisation • Establish frameworks for data quality assurance, data lifecycle management, and metadata standards. MuleSoft, and other core systems—to ensure seamless data flow and accessibility • Drive the adoption and effective use of business More ❯

Build and maintain a reliable billing architecture within an event driven environment. Data Products: Design, develop, and maintain APIs that deliver a seamless data experience for our customers. Database Management: Work with both SQL and NoSQL databases, optimizing schema designs and queries to support high-volume data transactions. Collaborative Problem-Solving: Work closely with BI, infrastructure teams, product managers … Bring Essential Skills 5+ years of hands-on Java development experience in a data-intensive environment. Proven experience building and maintaining data pipelines and APIs. Strong background in database management, including both SQL/NoSQL databases. Experience designing, implementing, and optimizing ETL/ELT processes for high-volume data environments (millions of requests per day). Demonstrated expertise in … Knowledge of stream processing frameworks for real-time data processing. Experience with cloud-based data services, particularly on Google Cloud Platform, advantageous. Familiarity with data orchestration tools and workflow management systems. Experience implementing data governance and compliance measures in line with regulations like GDPR and standards like ISO27001. Background in SaaS, API, or telecommunications environments, with specific expertise in More ❯

researchers and engineers · Develop scalable distributed systems to process, filter, and deploy datasets for use with machine learning · Process large, unstructured, multi-modal (text, images, 3D models, code snippets, metadata) data sources into formats suitable for machine learning · Conduct and analyse experiments on data to provide insights · Produce data visualizations and summaries to communicate data characteristics to researchers and … warehousing technologies, such as Apache Hive, Iceberg etc. o Data transformation via SQL and DBT. o Orchestration platforms such as Apache Airflow, Argo Workflows, etc. o Data catalogs and metadata management tools o Vector databases o Relational and object databases o Kubernetes o computational geometry such as mesh or boundary representation data processing o analyzing data and communicate More ❯

researchers and engineers · Develop scalable distributed systems to process, filter, and deploy datasets for use with machine learning · Process large, unstructured, multi-modal (text, images, 3D models, code snippets, metadata) data sources into formats suitable for machine learning · Conduct and analyse experiments on data to provide insights · Produce data visualizations and summaries to communicate data characteristics to researchers and … warehousing technologies, such as Apache Hive, Iceberg etc. o Data transformation via SQL and DBT. o Orchestration platforms such as Apache Airflow, Argo Workflows, etc. o Data catalogs and metadata management tools o Vector databases o Relational and object databases o Kubernetes o computational geometry such as mesh or boundary representation data processing o analyzing data and communicate More ❯

researchers and engineers · Develop scalable distributed systems to process, filter, and deploy datasets for use with machine learning · Process large, unstructured, multi-modal (text, images, 3D models, code snippets, metadata) data sources into formats suitable for machine learning · Conduct and analyse experiments on data to provide insights · Produce data visualizations and summaries to communicate data characteristics to researchers and … warehousing technologies, such as Apache Hive, Iceberg etc. o Data transformation via SQL and DBT. o Orchestration platforms such as Apache Airflow, Argo Workflows, etc. o Data catalogs and metadata management tools o Vector databases o Relational and object databases o Kubernetes o computational geometry such as mesh or boundary representation data processing o analyzing data and communicate More ❯

researchers and engineers · Develop scalable distributed systems to process, filter, and deploy datasets for use with machine learning · Process large, unstructured, multi-modal (text, images, 3D models, code snippets, metadata) data sources into formats suitable for machine learning · Conduct and analyse experiments on data to provide insights · Produce data visualizations and summaries to communicate data characteristics to researchers and … warehousing technologies, such as Apache Hive, Iceberg etc. o Data transformation via SQL and DBT. o Orchestration platforms such as Apache Airflow, Argo Workflows, etc. o Data catalogs and metadata management tools o Vector databases o Relational and object databases o Kubernetes o computational geometry such as mesh or boundary representation data processing o analyzing data and communicate More ❯

researchers and engineers · Develop scalable distributed systems to process, filter, and deploy datasets for use with machine learning · Process large, unstructured, multi-modal (text, images, 3D models, code snippets, metadata) data sources into formats suitable for machine learning · Conduct and analyse experiments on data to provide insights · Produce data visualizations and summaries to communicate data characteristics to researchers and … warehousing technologies, such as Apache Hive, Iceberg etc. o Data transformation via SQL and DBT. o Orchestration platforms such as Apache Airflow, Argo Workflows, etc. o Data catalogs and metadata management tools o Vector databases o Relational and object databases o Kubernetes o computational geometry such as mesh or boundary representation data processing o analyzing data and communicate More ❯

alignment by engaging with leaders across domains and geographies. Ensure data engineering initiatives match evolving business priorities. Promote a product mindset, balancing technical efficiency with clear business value. Team Management Lead the Data Engineering team, providing supervision, coaching, and professional development. Work with the Data Delivery Manager to improve team productivity and velocity. Oversee planning sessions, standups, retros, and … user needs when designing deliverables. Experience in designing technology solutions with complex end-to-end data flows. Experience in implementing data governance, including data cataloging, data lineage tracking, and metadata management to ensure data accuracy, accessibility, and compliance. Preferred: Experience with Databricks Understanding of how data platforms interact with marketing and customer engagement platforms. Knowledge of service-oriented More ❯

alignment by engaging with leaders across domains and geographies. Ensure data engineering initiatives match evolving business priorities. Promote a product mindset, balancing technical efficiency with clear business value. Team Management Lead the Data Engineering team, providing supervision, coaching, and professional development. Work with the Data Delivery Manager to improve team productivity and velocity. Oversee planning sessions, standups, retros, and … user needs when designing deliverables. Experience in designing technology solutions with complex end-to-end data flows. Experience in implementing data governance, including data cataloging, data lineage tracking, and metadata management to ensure data accuracy, accessibility, and compliance. Preferred: Experience with Databricks Understanding of how data platforms interact with marketing and customer engagement platforms. Knowledge of service-oriented More ❯

alignment by engaging with leaders across domains and geographies. Ensure data engineering initiatives match evolving business priorities. Promote a product mindset, balancing technical efficiency with clear business value. Team Management Lead the Data Engineering team, providing supervision, coaching, and professional development. Work with the Data Delivery Manager to improve team productivity and velocity. Oversee planning sessions, standups, retros, and … user needs when designing deliverables. Experience in designing technology solutions with complex end-to-end data flows. Experience in implementing data governance, including data cataloging, data lineage tracking, and metadata management to ensure data accuracy, accessibility, and compliance. Preferred: Experience with Databricks Understanding of how data platforms interact with marketing and customer engagement platforms. Knowledge of service-oriented More ❯

alignment by engaging with leaders across domains and geographies. Ensure data engineering initiatives match evolving business priorities. Promote a product mindset, balancing technical efficiency with clear business value. Team Management Lead the Data Engineering team, providing supervision, coaching, and professional development. Work with the Data Delivery Manager to improve team productivity and velocity. Oversee planning sessions, standups, retros, and … user needs when designing deliverables. Experience in designing technology solutions with complex end-to-end data flows. Experience in implementing data governance, including data cataloging, data lineage tracking, and metadata management to ensure data accuracy, accessibility, and compliance. Preferred: Experience with Databricks Understanding of how data platforms interact with marketing and customer engagement platforms. Knowledge of service-oriented More ❯

alignment by engaging with leaders across domains and geographies. Ensure data engineering initiatives match evolving business priorities. Promote a product mindset, balancing technical efficiency with clear business value. Team Management Lead the Data Engineering team, providing supervision, coaching, and professional development. Work with the Data Delivery Manager to improve team productivity and velocity. Oversee planning sessions, standups, retros, and … user needs when designing deliverables. Experience in designing technology solutions with complex end-to-end data flows. Experience in implementing data governance, including data cataloging, data lineage tracking, and metadata management to ensure data accuracy, accessibility, and compliance. Preferred: Experience with Databricks Understanding of how data platforms interact with marketing and customer engagement platforms. Knowledge of service-oriented More ❯

alignment by engaging with leaders across domains and geographies. Ensure data engineering initiatives match evolving business priorities. Promote a product mindset, balancing technical efficiency with clear business value. Team Management Lead the Data Engineering team, providing supervision, coaching, and professional development. Work with the Data Delivery Manager to improve team productivity and velocity. Oversee planning sessions, standups, retros, and … user needs when designing deliverables. Experience in designing technology solutions with complex end-to-end data flows. Experience in implementing data governance, including data cataloging, data lineage tracking, and metadata management to ensure data accuracy, accessibility, and compliance. Preferred: Experience with Databricks Understanding of how data platforms interact with marketing and customer engagement platforms. Knowledge of service-oriented More ❯

researchers and engineers · Develop scalable distributed systems to process, filter, and deploy datasets for use with machine learning · Process large, unstructured, multi-modal (text, images, 3D models, code snippets, metadata) data sources into formats suitable for machine learning · Conduct and analyse experiments on data to provide insights · Produce data visualizations and summaries to communicate data characteristics to researchers and … warehousing technologies, such as Apache Hive, Iceberg etc. o Data transformation via SQL and DBT. o Orchestration platforms such as Apache Airflow, Argo Workflows, etc. o Data catalogs and metadata management tools o Vector databases o Relational and object databases o Kubernetes o computational geometry such as mesh or boundary representation data processing o analyzing data and communicate More ❯

alignment by engaging with leaders across domains and geographies. Ensure data engineering initiatives match evolving business priorities. Promote a product mindset, balancing technical efficiency with clear business value. Team Management Lead the Data Engineering team, providing supervision, coaching, and professional development. Work with the Data Delivery Manager to improve team productivity and velocity. Oversee planning sessions, standups, retros, and … user needs when designing deliverables. Experience in designing technology solutions with complex end-to-end data flows. Experience in implementing data governance, including data cataloging, data lineage tracking, and metadata management to ensure data accuracy, accessibility, and compliance. Preferred: Experience with Databricks Understanding of how data platforms interact with marketing and customer engagement platforms. Knowledge of service-oriented More ❯

alignment by engaging with leaders across domains and geographies. Ensure data engineering initiatives match evolving business priorities. Promote a product mindset, balancing technical efficiency with clear business value. Team Management Lead the Data Engineering team, providing supervision, coaching, and professional development. Work with the Data Delivery Manager to improve team productivity and velocity. Oversee planning sessions, standups, retros, and … user needs when designing deliverables. Experience in designing technology solutions with complex end-to-end data flows. Experience in implementing data governance, including data cataloging, data lineage tracking, and metadata management to ensure data accuracy, accessibility, and compliance. Preferred: Experience with Databricks Understanding of how data platforms interact with marketing and customer engagement platforms. Knowledge of service-oriented More ❯

alignment by engaging with leaders across domains and geographies. Ensure data engineering initiatives match evolving business priorities. Promote a product mindset, balancing technical efficiency with clear business value. Team Management Lead the Data Engineering team, providing supervision, coaching, and professional development. Work with the Data Delivery Manager to improve team productivity and velocity. Oversee planning sessions, standups, retros, and … user needs when designing deliverables. Experience in designing technology solutions with complex end-to-end data flows. Experience in implementing data governance, including data cataloging, data lineage tracking, and metadata management to ensure data accuracy, accessibility, and compliance. Preferred: Experience with Databricks Understanding of how data platforms interact with marketing and customer engagement platforms. Knowledge of service-oriented More ❯

alignment by engaging with leaders across domains and geographies. Ensure data engineering initiatives match evolving business priorities. Promote a product mindset, balancing technical efficiency with clear business value. Team Management Lead the Data Engineering team, providing supervision, coaching, and professional development. Work with the Data Delivery Manager to improve team productivity and velocity. Oversee planning sessions, standups, retros, and … user needs when designing deliverables. Experience in designing technology solutions with complex end-to-end data flows. Experience in implementing data governance, including data cataloging, data lineage tracking, and metadata management to ensure data accuracy, accessibility, and compliance. Preferred: Experience with Databricks Understanding of how data platforms interact with marketing and customer engagement platforms. Knowledge of service-oriented More ❯