Data Quality Capability Lead

Empowering Africa’s tomorrow, together one story at a time.
- With over 100 years of rich history and strongly positioned as a local bank with regional and international expertise, a career with our family offers the opportunity to be part of this exciting growth journey, to reset our future and shape our destiny as a proudly African group.

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
- Absa Bank Limited reserves the right not to make an appointment to the post as advertised_