Data Transformation Manager at Nedbank

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 roles
• Experience with SAP, ETL, cloud platforms, and data virtualization tools 
• Experience with Data management frameworks 

Preferred 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 services 
• Experience and certification with SAP, ETL, cloud platforms, and data virtualization tools 
• Experience and certification with Data management and AI/ML frameworks 

Technical / Professional Knowledge

• Financial Services Acumen 
• Data management frameworks 
• AI/ML frameworks 
• Research methodology 

Behavioural Competencies

• Governance, Risk and Controls
• Organisational behaviour theory
• Stakeholder management
• Strategic planning
• Talent management 
• Business Transformation
• Building Partnerships
• Communication