3 of 3 Metadata Management Jobs in Glamorgan

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 ...

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 ...

Azure DevOps, or GitHub Actions for version control, CI/CD, and collaborative data delivery. Robust understanding of data governance, data quality, and metadata management. Experience of communicating technical information and data to a non-technical audience and working collaboratively with analysts, architects, and product owners to deliver data … solutions that meet user and organisational needs. Key Responsibilities (at a glance): Lead on the introduction of foundational data management capabilities to improve trust, accessibility, and efficiency in an organisation that has limited data management capability, lacks data management practices, including governance, metadata standards, and quality ...