Cluster : Group Finance - Group Business Services
Job Family : Risk, Audit and Compliance
Operational Risk : Manage Self : Professional
Job Purpose
To lead cluster data transformation initiatives that align with strategic business goals, regulatory requirements, and digital innovation. This role drives the modernization of data practices, governance, and infrastructure to enable trusted decision-making, operational efficiency, and compliance.
Job Responsibilities
- Strategic Leadership : Define and execute the data transformation roadmap across clusters, integrating with platforms like S4 HANA, Ab-Initio and Data Warehouses
- Governance & Compliance : Establish and automate data governance frameworks, decision trees, and checklists to reduce manual effort and ensure regulatory alignment (e.g., ISO 31000, Basel principles)
- Operational Oversight : Manage data lifecycle stages—planning, development, implementation, operation, maintenance, and retirement—to mitigate financial and operational risks.
- Stakeholder Engagement : Serve as a trusted advisor to business units, influencing data management practices and facilitating cross-functional collaboration
- Innovation Enablement : Champion real-time analytics, metadata management, and authoritative data sets to support harmonization and interoperability.
- Team Development : Mentor data professionals and foster a culture of continuous learning, agility, and ethical data management
Minimum Experience Level
Degree in Information Systems, Data Science, or related field (NQF 7)Data leadership rolesExperience with SAP, ETL, cloud platforms, and data virtualization toolsExperience with Data management frameworksPreferred Qualification
Post-Graduate Degree in Information Systems, Data Science, or related field (NQF 8 or higher)Type of Exposure
10+ years in data leadership roles, preferably in financial servicesExperience and certification with SAP, ETL, cloud platforms, and data virtualization toolsExperience and certification with Data management and AI / ML frameworksTechnical / Professional Knowledge
Data management frameworksAI / ML frameworksResearch methodologyGovernance, Risk and ControlsOrganisational behaviour theoryStrategic planningTalent managementBusiness TransformationBuilding PartnershipsCommunicationSeniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology, Product Management, and Management
Industries
IT System Data Services, Data Infrastructure and Analytics, and Banking
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