Implementing and maintaining data quality monitoring capabilities — transforming base-layer data sources into measurable data quality metrics and maintaining dashboards (e.g., Power BI) to surface issues and performance over time.
Partnering with business data owners and stewards to define target data quality thresholds for critical data, provide advisory support, and promote data quality maturity across business operations.
Identifying, analysing and reporting data quality issues by tracing errors to root causes, communicating findings through clear visualisations and storytelling, and reporting results to governance forums and working groups.
Supporting the development and execution of data quality controls, including preventative, detective and corrective mechanisms to ensure critical data remains accurate, complete, consistent, and fit-for-purpose.
Coordinating data correction activities — prioritising remediation with data owners and technical teams, documenting requirements, tracking progress, and monitoring resolution outcomes.
Maintaining metadata, lineage and catalogue information to ensure business integration, change alignment, and ongoing transparency of how data is used, transformed, and governed.
Conducting hands-on data analysis to reconcile and interrogate data assets, identify patterns and anomalies, and support regulatory, business or governance requirements emerging over time.
Proactive risk management control development and embedment – Supporting with risk, management requirements, control effectiveness testing and incident/issue management.
An important part of this role is also supporting the Data Risk Manager in terms of co-ordinating business projects and operations related to data management requirements (for example, data disposal operations to meet regulatory obligations).
