51 to 75 of 167 Permanent Metadata Management Jobs

Businesses to build a vision around usage of data, turning it into a strategic business asset, and using it as a tool for risk management, regulatory/statutory compliance, and business growth.Key Responsibilities:Data Quality Strategy & Framework:Define and implement the UK Data Office data quality strategy aligned … provide visibility into data quality levels, trends, and the impact of remediation effortsRegularly communicate data quality status and progress to relevant stakeholders and senior management, highlighting risks and opportunities related to AI data qualityTooling & Automation:Evaluate, select, and implement data quality tools and technologies to automate data quality checks ...

Businesses to build a vision around usage of data, turning it into a strategic business asset, and using it as a tool for risk management, regulatory/statutory compliance, and business growth.Key Responsibilities:Data Quality Strategy & Framework:Define and implement the UK Data Office data quality strategy aligned … provide visibility into data quality levels, trends, and the impact of remediation effortsRegularly communicate data quality status and progress to relevant stakeholders and senior management, highlighting risks and opportunities related to AI data qualityTooling & Automation:Evaluate, select, and implement data quality tools and technologies to automate data quality checks ...

Businesses to build a vision around usage of data, turning it into a strategic business asset, and using it as a tool for risk management, regulatory/statutory compliance, and business growth.Key Responsibilities:Data Quality Strategy & Framework:Define and implement the UK Data Office data quality strategy aligned … provide visibility into data quality levels, trends, and the impact of remediation effortsRegularly communicate data quality status and progress to relevant stakeholders and senior management, highlighting risks and opportunities related to AI data qualityTooling & Automation:Evaluate, select, and implement data quality tools and technologies to automate data quality checks ...

Businesses to build a vision around usage of data, turning it into a strategic business asset, and using it as a tool for risk management, regulatory/statutory compliance, and business growth.Key Responsibilities:Data Quality Strategy & Framework:Define and implement the UK Data Office data quality strategy aligned … provide visibility into data quality levels, trends, and the impact of remediation effortsRegularly communicate data quality status and progress to relevant stakeholders and senior management, highlighting risks and opportunities related to AI data qualityTooling & Automation:Evaluate, select, and implement data quality tools and technologies to automate data quality checks ...

Businesses to build a vision around usage of data, turning it into a strategic business asset, and using it as a tool for risk management, regulatory/statutory compliance, and business growth.Key Responsibilities:Data Quality Strategy & Framework:Define and implement the UK Data Office data quality strategy aligned … provide visibility into data quality levels, trends, and the impact of remediation effortsRegularly communicate data quality status and progress to relevant stakeholders and senior management, highlighting risks and opportunities related to AI data qualityTooling & Automation:Evaluate, select, and implement data quality tools and technologies to automate data quality checks ...

Businesses to build a vision around usage of data, turning it into a strategic business asset, and using it as a tool for risk management, regulatory/statutory compliance, and business growth.Key Responsibilities:Data Quality Strategy & Framework:Define and implement the UK Data Office data quality strategy aligned … provide visibility into data quality levels, trends, and the impact of remediation effortsRegularly communicate data quality status and progress to relevant stakeholders and senior management, highlighting risks and opportunities related to AI data qualityTooling & Automation:Evaluate, select, and implement data quality tools and technologies to automate data quality checks ...

Businesses to build a vision around usage of data, turning it into a strategic business asset, and using it as a tool for risk management, regulatory/statutory compliance, and business growth.Key Responsibilities:Data Quality Strategy & Framework:Define and implement the UK Data Office data quality strategy aligned … provide visibility into data quality levels, trends, and the impact of remediation effortsRegularly communicate data quality status and progress to relevant stakeholders and senior management, highlighting risks and opportunities related to AI data qualityTooling & Automation:Evaluate, select, and implement data quality tools and technologies to automate data quality checks ...

Businesses to build a vision around usage of data, turning it into a strategic business asset, and using it as a tool for risk management, regulatory/statutory compliance, and business growth.Key Responsibilities:Data Quality Strategy & Framework:Define and implement the UK Data Office data quality strategy aligned … provide visibility into data quality levels, trends, and the impact of remediation effortsRegularly communicate data quality status and progress to relevant stakeholders and senior management, highlighting risks and opportunities related to AI data qualityTooling & Automation:Evaluate, select, and implement data quality tools and technologies to automate data quality checks ...

Businesses to build a vision around usage of data, turning it into a strategic business asset, and using it as a tool for risk management, regulatory/statutory compliance, and business growth.Key Responsibilities:Data Quality Strategy & Framework:Define and implement the UK Data Office data quality strategy aligned … provide visibility into data quality levels, trends, and the impact of remediation effortsRegularly communicate data quality status and progress to relevant stakeholders and senior management, highlighting risks and opportunities related to AI data qualityTooling & Automation:Evaluate, select, and implement data quality tools and technologies to automate data quality checks ...

Businesses to build a vision around usage of data, turning it into a strategic business asset, and using it as a tool for risk management, regulatory/statutory compliance, and business growth.Key Responsibilities:Data Quality Strategy & Framework:Define and implement the UK Data Office data quality strategy aligned … provide visibility into data quality levels, trends, and the impact of remediation effortsRegularly communicate data quality status and progress to relevant stakeholders and senior management, highlighting risks and opportunities related to AI data qualityTooling & Automation:Evaluate, select, and implement data quality tools and technologies to automate data quality checks ...

scalable and secure enterprise data platforms using technologies such as Microsoft Fabric, Azure Synapse Analytics, Azure Data Factory, Azure Data Lake, Databricks, and Snowflake.Data Management, Governance & Controls – Experience establishing data governance frameworks, operating models, metadata management, lineage, cataloguing, data quality, and master data management capabilities. Familiarity … Experience enabling reporting, analytics, and decision-support capabilities that drive business outcomes across insurance functions. Ability to design architectures that support self-service analytics, management information, and performance reporting using platforms such as Power BI, Microsoft Fabric, Databricks, and Snowflake.AI & Advanced Data Capabilities – Understanding of emerging Artificial Intelligence ...

skills, knowledge and experience will you need? Expertise in data architecture design, modelling, patterns, tools and standards. Strong knowledge of data modelling, Master Data Management (MDM), metadata management and data governance. Knowledge of event-driven architectures, including pub-sub and data streaming patterns. Proven track record … data challenges and define solutions that are secure, scalable and aligned with organisational goals. You'll lead the design and development of data models, metadata frameworks and other key data architecture artefacts ensuring data is structured, managed and governed effectively. Your work will support informed decision making and enable ...

skills, knowledge and experience will you need? Expertise in data architecture design, modelling, patterns, tools and standards. Strong knowledge of data modelling, Master Data Management (MDM), metadata management and data governance. Knowledge of event-driven architectures, including pub-sub and data streaming patterns. Proven track record … data challenges and define solutions that are secure, scalable and aligned with organisational goals. You'll lead the design and development of data models, metadata frameworks and other key data architecture artefacts ensuring data is structured, managed and governed effectively. Your work will support informed decision making and enable ...

skills, knowledge and experience will you need? Expertise in data architecture design, modelling, patterns, tools and standards. Strong knowledge of data modelling, Master Data Management (MDM), metadata management and data governance. Knowledge of event-driven architectures, including pub-sub and data streaming patterns. Proven track record … data challenges and define solutions that are secure, scalable and aligned with organisational goals. You'll lead the design and development of data models, metadata frameworks and other key data architecture artefacts ensuring data is structured, managed and governed effectively. Your work will support informed decision making and enable ...

skills, knowledge and experience will you need? Expertise in data architecture design, modelling, patterns, tools and standards. Strong knowledge of data modelling, Master Data Management (MDM), metadata management and data governance. Knowledge of event-driven architectures, including pub-sub and data streaming patterns. Proven track record … data challenges and define solutions that are secure, scalable and aligned with organisational goals. You'll lead the design and development of data models, metadata frameworks and other key data architecture artefacts ensuring data is structured, managed and governed effectively. Your work will support informed decision making and enable ...

lead complex, high-visibility programs, managing risks, and ensuring alignment of operations with our business strategy. You'll leverage your advanced knowledge in project management and data analytics to monitor program progress, make informed decisions, and communicate effectively with senior management and stakeholders. Your expertise in cross-functional … collaboration and conflict management will be crucial in fostering a productive work environment and resolving potential issues.Job responsibilitiesManages the Measure 8 (Lineage) workstream to implement robust data management capabilities that satisfy regulatory requirements, while enabling strategic business objectives across risk, finance and technology functionsMaintains an awareness ...

engagements are predominantly with organisations facing important transitions. Engagements are typically driven by business unit leaders, CDOs, COOs and other members of the senior management team. Client engagements may be as short as a few months, but can also evolve into multi-year, wide-ranging and transformative relationships. … with some flexibility, please do discuss with us.Your roleAs a practitioner in AI & Data, you will be responsible for leading and delivering data management initiatives on client projects. You will devise innovative solutions to help our clients address their biggest data challenges, focusing on establishing robust data governance frameworks ...

culture of accountability, collaboration, innovation, and continuous improvement across the delivery function. Govern Data Delivery Establish and maintain robust governance frameworks covering demand management, prioritisation, impact assessment, planning, execution, reporting, and benefits realisation. Define and enforce delivery standards, controls, and best practices to ensure consistency and predictability across … data products, and cloud-based architectures. Experience delivering complex data transformation programmes and leading large delivery portfolios. Establishing delivery governance, controls, KPIs, and performance management frameworks. Exceptional communication, influencing, and stakeholder management skills, including engagement at Executive and Board level. Strong commercial awareness and ability to align delivery ...

Senior Data Management Professional - Data Quality - Entities Data (Private Markets) Location London Business Area Data Ref # 10052950 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 … underpins foundational reference data, private markets, and risk management. The team partners closely with Engineering, Product, and other Data groups to ensure our data management processes, ingestion pipelines, quality controls, and delivery methods evolve with market needs.What’s the Role As a Data Quality Manager, you will define ...

delivery methodologies including requirements and discovery, Agile delivery, testing, deployment, and post-production supportStrong understanding of data governance and security frameworks including data quality, metadata management, lineage, user and permission management, compliance, and access controlsExcellent documentation skills with the ability to create and maintain solution designs, data … dictionaries, business glossaries and technical standardsStrong stakeholder management, communication and business partnering skills with the ability to translate business requirements into data solutionsExperience of marketing orchestration platforms (e.g. Bloomreach) or reverse ETL tools (e.g. HighTouch) is desirableKnowledge of marketing and digital data (e.g. Google Analytics, BiqQuery) would be advantageousChange ...

delivery methodologies including requirements and discovery, Agile delivery, testing, deployment, and post-production supportStrong understanding of data governance and security frameworks including data quality, metadata management, lineage, user and permission management, compliance, and access controlsExcellent documentation skills with the ability to create and maintain solution designs, data … dictionaries, business glossaries and technical standardsStrong stakeholder management, communication and business partnering skills with the ability to translate business requirements into data solutionsExperience of marketing orchestration platforms (e.g. Bloomreach) or reverse ETL tools (e.g. HighTouch) is desirableKnowledge of marketing and digital data (e.g. Google Analytics, BiqQuery) would be advantageousChange ...

that it is in line with the business data strategy, taking into consideration the various data sources, information assets, consumers of it, and the management systems. You will be operating within one of the areas of the business, such as Crime, Civil, Family & Tribunals, Judicial and Operations or Headquarters … ensure it is aligned with strategy (and other) needs. Contribute to the wider HMCTS information model as required; Ensure the information model and its metadata is integrated with wider architectures (business, technology, security etc.) needs, within the business function that you are responsible for; Advises stakeholders on improvements ...

that it is in line with the business data strategy, taking into consideration the various data sources, information assets, consumers of it, and the management systems. You will be operating within one of the areas of the business, such as Crime, Civil, Family & Tribunals, Judicial and Operations or Headquarters … ensure it is aligned with strategy (and other) needs. Contribute to the wider HMCTS information model as required; Ensure the information model and its metadata is integrated with wider architectures (business, technology, security etc.) needs, within the business function that you are responsible for; Advises stakeholders on improvements ...

data discovery capabilities that improve access to enterprise knowledge.Build natural language interfaces that enable non-technical users to interact effectively with complex datasets.Contribute to metadata modelling, governance frameworks, and AI enablement initiatives.Own the full solution lifecycle from discovery, design, and development through deployment, optimisation, and continuous improvement.Act … enterprise data platforms such as Snowflake.Strong analytical thinking and structured problem-solving capabilities.Ability to translate business requirements into scalable technical solutions.Excellent communication and stakeholder management skills.Nice to HaveExperience with AWS Bedrock or other enterprise AI platforms.Experience with AI engineering tools such as Copilot, Cursor, Claude Code, or similar.Experience with ...

leveraging modern automation and approved AI-assisted engineering tools where appropriate to improve delivery quality and efficiency.Drive the integration of data governance, metadata management, cataloguing, privacy and security capabilities, ensuring solutions align with regulatory requirements and responsible AI principles.Act as a trusted advisor to clients, translating complex technical … modern data platforms and architectural best practices, alongside an openness to AI-enabled engineering approaches where appropriate.Strong understanding of cloud migration, enterprise data management, governance, security frameworks and the architectural considerations required to support responsible AI adoption.Excellent communication and stakeholder management skills, with the ability to influence both ...