Job Summary

• The Data Quality (DQ) Capability Lead is responsible for defining, implementing, and continuously improving data quality management capabilities across the organisation.
• This role leads the data quality capability team, ensuring effective delivery of services, adoption of tools, and alignment to the data governance framework.
• The role ensures data quality processes, tools, and practices enable trusted, accurate, and fit-for-purpose data, while driving adoption of enterprise-wide data quality standards, monitoring, and remediation practices.

Job Description

Key Responsibilities

• Lead the Data Quality Capability team, providing direction, coaching, and performance management to ensure delivery of high-quality services and continuous upskilling.
• Define, maintain, and optimise the data quality management operating model, including processes, procedures, KPIs, and responsibilities across the organisation.
• Own and govern enterprise-wide data quality standards, rules, and controls to ensure accuracy, completeness, timeliness, validity, and consistency of data.
• Define and maintain data quality metrics and reporting to enable transparent measurement of data health and accountability.
• Collaborate with data owners, custodians, and stewards to define, validate, and maintain data quality rules for critical data elements.
• Own and manage data quality tools and platforms, ensuring they support monitoring, remediation, and reporting needs effectively.
• Define and deliver training, communication, and enablement activities to build awareness and adoption of data quality practices across the organisation.
• Drive integration of data quality into upstream and downstream processes, including data lineage, metadata management, and data governance workflows.
• Support compliance with regulatory and internal requirements by ensuring data quality controls are implemented effectively.
• Facilitate collaboration across data domains and communities of practice to align data quality practices, share lessons learned, and resolve issues.
• Contribute to the design and execution of the enterprise data management and governance strategy, focusing on data quality enablement.

​​​​​​​Education and Experience Required

• Minimum 3 years’ experience defining or practicing enterprise data management and governance.
• BSc Information Technology, Risk Management, or equivalent Diploma.
• Proven experience in successfully implementing data quality capabilities, such as data profiling, data quality rules, monitoring, and remediation.
• Experience implementing data quality solutions or tools (e.g., Ataccama, Informatica, Collibra DQ, Talend) is advantageous.
• Exposure to data visualisation tools such as QlikView or Power BI advantageous.
• Minimum 3 years in Financial Services Industry.
• Preferred: 8–10 years’ experience in data management, governance, or related fields.
• 3+ years leadership experience in managing teams in a data management or governance context.

​​​​​​​Knowledge & Skills

• Strong understanding of data quality dimensions and principles (accuracy, completeness, consistency, validity, timeliness, uniqueness).
• Stakeholder management and change management fundamentals.
• Ability to work independently and manage multiple priorities in a fast-paced environment.
• Ability to define and implement standards, frameworks, and processes for data quality management.
• Strong stakeholder engagement and change management skills to drive adoption across business and technology teams.
• Analytical and problem-solving skills with attention to detail.
• Excellent communication skills to explain data quality concepts to technical and non-technical audiences.
• Exposure to metadata, data lineage, and data architecture principles advantageous.
• Understanding of regulatory and compliance requirements related to data quality.
• Must be familiar with broader data management principles, including metadata, reference data, master data, and data governance.

Education

• Bachelor`s Degrees and Advanced Diplomas: Business, Commerce and Management Studies

End Date: October 13, 2025