Data Risk & Control Monitoring Manager

The Data Risk & Control Monitoring Manager plays a critical role in ensuring the organisation maintains a robust and effective data control environment. The role is responsible for designing, implementing, and overseeing data control frameworks that mitigate data-related risks across data quality, access, usage, retention, and movement.

This position works closely with Data Risk Stewards, Compliance, Internal Audit, and Risk functions to ensure alignment with data governance policies, regulatory expectations, and internal standards. The role requires strong analytical capability, governance acumen, and the ability to influence stakeholders across business and technology functions.

• Design and implement a comprehensive data control monitoring strategy aligned with enterprise data governance policies and regulatory requirements.
• Develop and maintain a data risk and control framework, ensuring effective management of data quality, access, retention, and movement risks.
• Partner with Data Risk Stewards and business data owners to define and embed key controls across critical data processes.
• Monitor and assess the effectiveness of data management controls, identifying gaps and recommending remediation or enhancement actions.
• Engage with Risk, Compliance, and Internal Audit teams to ensure alignment of data management controls with internal policies and external regulatory standards.
• Track and report key control indicators (KCIs) and data quality metrics (DQMs) to measure control performance and identify emerging risks.
• Lead the testing, validation, and assurance activities for data-related controls, ensuring compliance and timely remediation of issues.
• Develop and deliver management information (MI) dashboards and reports on data risk and control effectiveness to senior stakeholders.
• Support periodic data risk assessments and control self-assessments, ensuring continuous improvement in control maturity.
• Promote a strong data risk and control culture across business and technology teams through education, guidance, and awareness.

• 5–8 years’ experience in data governance, data risk management, or control assurance within a regulated financial services or enterprise environment.
• Strong understanding of data management principles, including data quality, metadata, lineage, access management, and retention.
• Proven experience in designing, monitoring, and testing data controls in alignment with regulatory and internal governance requirements.