26 to 50 of 167 Permanent Metadata Management Jobs

moving and processing data.Optimising data systems for performance, scalability, reliability, and monitoring.Information security including access controls, encryption, anonymity for sensitive data assets.Data governance, including metadata management, data quality, and lineage tracking.We are specifically looking for candidates with both technical and business focused skills, who can articulate the outcomes … experience that demonstrates modularity, reusability, and efficiency - across languages.Understanding full development lifecycle, SDLC concepts, version control, CI/CD pipelines.Knowledge of data security, governance, metadata management, master data principles.Communication skills, ability to understand business requirements and translate to technical data solutions.Connect to your business - Technology and TransformationDistinctive thinking ...

moving and processing data.Optimising data systems for performance, scalability, reliability, and monitoring.Information security including access controls, encryption, anonymity for sensitive data assets.Data governance, including metadata management, data quality, and lineage tracking.We are specifically looking for candidates with both technical and business focused skills, who can articulate the outcomes … experience that demonstrates modularity, reusability, and efficiency - across languages.Understanding full development lifecycle, SDLC concepts, version control, CI/CD pipelines.Knowledge of data security, governance, metadata management, master data principles.Communication skills, ability to understand business requirements and translate to technical data solutions.Connect to your business - Technology and TransformationDistinctive thinking ...

moving and processing data.Optimising data systems for performance, scalability, reliability, and monitoring.Information security including access controls, encryption, anonymity for sensitive data assets.Data governance, including metadata management, data quality, and lineage tracking.We are specifically looking for candidates with both technical and business focused skills, who can articulate the outcomes … experience that demonstrates modularity, reusability, and efficiency - across languages.Understanding full development lifecycle, SDLC concepts, version control, CI/CD pipelines.Knowledge of data security, governance, metadata management, master data principles.Communication skills, ability to understand business requirements and translate to technical data solutions.Connect to your business - Technology and TransformationDistinctive thinking ...

reporting, operational decisioning and AI use cases.A key part of the role is shaping and embedding a data product operating model (clear ownership, lifecycle management and governance of data products) in support of the wider product and platform model, in collaboration with the Data & AI team.Main duties and responsibilitiesThe … technology roadmap, in support of the firms broader data & AI strategy.Define and embed the target-state data platform and data product architecture (including metadata, lineage and governance) that enables trusted analytics and AI/ML (e.g., feature reuse, RAG-ready knowledge assets).Be accountable for the data architecture within ...

stages of delivery. As a subject matter expert, you will bring deep expertise in core data architecture disciplines including data modelling, data flows, metadata management, data transformation, and governance.You will be expected to engage and build relationships with senior stakeholders in client account across national arms-length bodies … data integration, analytics, AI/ML and interoperability.Acting as a Lead Data Architect within delivery programmes, responsible for the technical design, data model development, metadata and governance practices.Providing technical leadership and assurance for delivery teams, ensuring alignment with Data and AI best practices and client goals.Advising clients on product ...

stages of delivery. As a subject matter expert, you will bring deep expertise in core data architecture disciplines including data modelling, data flows, metadata management, data transformation, and governance.You will be expected to engage and build relationships with senior stakeholders in client account across national arms-length bodies … data integration, analytics, AI/ML and interoperability.Acting as a Lead Data Architect within delivery programmes, responsible for the technical design, data model development, metadata and governance practices.Providing technical leadership and assurance for delivery teams, ensuring alignment with Data and AI best practices and client goals.Advising clients on product ...

stages of delivery. As a subject matter expert, you will bring deep expertise in core data architecture disciplines including data modelling, data flows, metadata management, data transformation, and governance.You will be expected to engage and build relationships with senior stakeholders in client account across national arms-length bodies … data integration, analytics, AI/ML and interoperability.Acting as a Lead Data Architect within delivery programmes, responsible for the technical design, data model development, metadata and governance practices.Providing technical leadership and assurance for delivery teams, ensuring alignment with Data and AI best practices and client goals.Advising clients on product ...

technical solutions• Integrate AI services, vector databases, embeddings, and cloud-native technologies into secure and resilient architectures• Ensure AI solutions comply with governance standards, metadata management practices, and traceability requirements• Contribute to the continuous improvement of AI platforms, frameworks, and engineering practices to drive innovation and operational excellence … conversational AI, and autonomous agent development• Proficiency in Python, PowerShell, SQL, JSON, and integrating AI services with wider business applications• Understanding of AI governance, metadata management, traceability, and responsible AI practices• Strong analytical and problem-solving skills with the ability to design practical solutions for complex challenges• Excellent ...

Senior Data Management Professional - Data Product Owner - Environmental Regulations Location London Business Area Data Ref # 10052554 Description & Requirements Sustainable Finance data is increasingly crucial for our clients providing deeper intelligence than conventional financial analysis alone. Climate change, regulatory pressures, the importance of human capital, and diversity are just … opportunity analysis into their workflows.The Role:As a Data Product Owner in the Sustainable Finance Regulatory Data team, you will own the data management strategy, operating model and roadmap for Bloomberg's environmental regulatory data products, including EU Taxonomy, SFDR, CSRD, and evolving regulatory product needs. Working closely with ...

underpins model development. Establish data engineering standards and engineering practices, including data quality controls, testing, CI/CD for data, reproducibility standards, data contracts, metadata management and dataset versioning. Deliver hands-on leadership on the most difficult and highest-impact data engineering challenges, including integrating novel and complex … modalities such as genomics, transcriptomics, imaging, clinical and real-world datasets. Partner with the Data Excellence community and IT to align on governance, ontologies, metadata harmonisation, stewardship and shared enterprise data foundations. Establish ways of working and coach other team members, onboarding, mentoring and technically leading data engineers ...

Help teams find, understand, and trust data by building a modern metadata marketplace. You’ll shape a strategic product used across Asset Management to strengthen governance and accelerate delivery.As a Product Manager in the Marketplace product team within Asset Management Data Strategy, you will define and deliver … that manage data domains and subdomains, high quality data products and the semantics that describe them. You’ll also evolve the marketplace as the metadata repository that supports lineage, data contracts, and data quality, powering AI.Job responsibilitiesExecute the product vision and strategy for Marketplace capabilities that strengthen data governance ...

challenge consensus.The Data Ecosystem team is an important part of DRW’s Unified Platform (UP) organization, building the platform capabilities, managed infrastructure, and metadata management systems that underpin our common query layer and power thousands of batch and streaming pipelines across DRW.As a Team Lead of our Data … Ecosystem team, you will lead a team of Data Engineers who craft the architecture of DRW’s data platform, establishing data infrastructure, creating metadata management tools, and scaffolding governance processes that accelerate the time to onboard datasets, curate them, and make them available throughout the firm. This role ...

scalable, enterprise-grade data asset that supports a broad range of investment and business use cases.This role sits at the intersection of product management, data strategy, and technology delivery. You will play a critical role in translating strategic priorities into actionable product outcomes while helping drive adoption of modern … data management practices, semantic data capabilities, and enterprise data standards across the organization.Key ResponsibilitiesProduct Roadmap Execution & Backlog ManagementPartner with product leadership to execute the ESG Data Product roadmap in alignment with business priorities and enterprise data strategy.Own and prioritize the product backlog, balancing stakeholder needs, technical dependencies, regulatory requirements ...

high-quality services and insights to our clients and internal stakeholders. This is an exciting opportunity to contribute to the strategic evolution of data management in a leading professional services firm, shaping how data is perceived and utilised across the organisation.Key Responsibilities:Data Profiling and Analysis: Conduct comprehensive data … data lifecycle and provide continuous feedback on data requirements for advanced AIConnect to your skills and professional experience Essentials:Proven experience in data quality management, data governance, or a related data management disciplineDeep understanding of data quality dimensions (e.g., accuracy, completeness, consistency, timeliness, validity, uniqueness)Proficiency with data ...

high-quality services and insights to our clients and internal stakeholders. This is an exciting opportunity to contribute to the strategic evolution of data management in a leading professional services firm, shaping how data is perceived and utilised across the organisation.Key Responsibilities:Data Profiling and Analysis: Conduct comprehensive data … data lifecycle and provide continuous feedback on data requirements for advanced AIConnect to your skills and professional experience Essentials:Proven experience in data quality management, data governance, or a related data management disciplineDeep understanding of data quality dimensions (e.g., accuracy, completeness, consistency, timeliness, validity, uniqueness)Proficiency with data ...

high-quality services and insights to our clients and internal stakeholders. This is an exciting opportunity to contribute to the strategic evolution of data management in a leading professional services firm, shaping how data is perceived and utilised across the organisation.Key Responsibilities:Data Profiling and Analysis: Conduct comprehensive data … data lifecycle and provide continuous feedback on data requirements for advanced AIConnect to your skills and professional experience Essentials:Proven experience in data quality management, data governance, or a related data management disciplineDeep understanding of data quality dimensions (e.g., accuracy, completeness, consistency, timeliness, validity, uniqueness)Proficiency with data ...

high-quality services and insights to our clients and internal stakeholders. This is an exciting opportunity to contribute to the strategic evolution of data management in a leading professional services firm, shaping how data is perceived and utilised across the organisation.Key Responsibilities:Data Profiling and Analysis: Conduct comprehensive data … data lifecycle and provide continuous feedback on data requirements for advanced AIConnect to your skills and professional experience Essentials:Proven experience in data quality management, data governance, or a related data management disciplineDeep understanding of data quality dimensions (e.g., accuracy, completeness, consistency, timeliness, validity, uniqueness)Proficiency with data ...

high-quality services and insights to our clients and internal stakeholders. This is an exciting opportunity to contribute to the strategic evolution of data management in a leading professional services firm, shaping how data is perceived and utilised across the organisation.Key Responsibilities:Data Profiling and Analysis: Conduct comprehensive data … data lifecycle and provide continuous feedback on data requirements for advanced AIConnect to your skills and professional experience Essentials:Proven experience in data quality management, data governance, or a related data management disciplineDeep understanding of data quality dimensions (e.g., accuracy, completeness, consistency, timeliness, validity, uniqueness)Proficiency with data ...

high-quality services and insights to our clients and internal stakeholders. This is an exciting opportunity to contribute to the strategic evolution of data management in a leading professional services firm, shaping how data is perceived and utilised across the organisation.Key Responsibilities:Data Profiling and Analysis: Conduct comprehensive data … data lifecycle and provide continuous feedback on data requirements for advanced AIConnect to your skills and professional experience Essentials:Proven experience in data quality management, data governance, or a related data management disciplineDeep understanding of data quality dimensions (e.g., accuracy, completeness, consistency, timeliness, validity, uniqueness)Proficiency with data ...

high-quality services and insights to our clients and internal stakeholders. This is an exciting opportunity to contribute to the strategic evolution of data management in a leading professional services firm, shaping how data is perceived and utilised across the organisation.Key Responsibilities:Data Profiling and Analysis: Conduct comprehensive data … data lifecycle and provide continuous feedback on data requirements for advanced AIConnect to your skills and professional experience Essentials:Proven experience in data quality management, data governance, or a related data management disciplineDeep understanding of data quality dimensions (e.g., accuracy, completeness, consistency, timeliness, validity, uniqueness)Proficiency with data ...

high-quality services and insights to our clients and internal stakeholders. This is an exciting opportunity to contribute to the strategic evolution of data management in a leading professional services firm, shaping how data is perceived and utilised across the organisation.Key Responsibilities:Data Profiling and Analysis: Conduct comprehensive data … data lifecycle and provide continuous feedback on data requirements for advanced AIConnect to your skills and professional experience Essentials:Proven experience in data quality management, data governance, or a related data management disciplineDeep understanding of data quality dimensions (e.g., accuracy, completeness, consistency, timeliness, validity, uniqueness)Proficiency with data ...

high-quality services and insights to our clients and internal stakeholders. This is an exciting opportunity to contribute to the strategic evolution of data management in a leading professional services firm, shaping how data is perceived and utilised across the organisation.Key Responsibilities:Data Profiling and Analysis: Conduct comprehensive data … data lifecycle and provide continuous feedback on data requirements for advanced AIConnect to your skills and professional experience Essentials:Proven experience in data quality management, data governance, or a related data management disciplineDeep understanding of data quality dimensions (e.g., accuracy, completeness, consistency, timeliness, validity, uniqueness)Proficiency with data ...

high-quality services and insights to our clients and internal stakeholders. This is an exciting opportunity to contribute to the strategic evolution of data management in a leading professional services firm, shaping how data is perceived and utilised across the organisation.Key Responsibilities:Data Profiling and Analysis: Conduct comprehensive data … data lifecycle and provide continuous feedback on data requirements for advanced AIConnect to your skills and professional experience Essentials:Proven experience in data quality management, data governance, or a related data management disciplineDeep understanding of data quality dimensions (e.g., accuracy, completeness, consistency, timeliness, validity, uniqueness)Proficiency with data ...

high-quality services and insights to our clients and internal stakeholders. This is an exciting opportunity to contribute to the strategic evolution of data management in a leading professional services firm, shaping how data is perceived and utilised across the organisation.Key Responsibilities:Data Profiling and Analysis: Conduct comprehensive data … data lifecycle and provide continuous feedback on data requirements for advanced AIConnect to your skills and professional experience Essentials:Proven experience in data quality management, data governance, or a related data management disciplineDeep understanding of data quality dimensions (e.g., accuracy, completeness, consistency, timeliness, validity, uniqueness)Proficiency with data ...

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 ...