51 to 75 of 193 Metadata Management Jobs

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 ...

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 ...