An experienced General Manager Data Warehouse is required to provide strategic leadership, oversee strategic development, implementation, and management of organizational centralized data repository and data governance framework in Johannesburg on a permanent basis.

Minimum Requirements:

• B Degree/B Tech/Advanced Diploma in Data Science/Information Technology/Computer Science/Information Systems at NQF7 with 360 credits
• Certified Data Management Professional (CDMP) and The Open Group Architecture Framework (TOGAF) certifications
• Minimum 10 years data management experience including both data warehousing and data governance
• Proven track record of implementing and managing large-scale enterprise data warehouses
• Extensive experience with data governance frameworks and regulatory compliance
• Leading cross-functional teams and driving enterprise-wide initiatives
• Proficiency in data integration and management tools
• Strong understanding of data quality and cleansing techniques
• Business intelligence and analytics platforms knowledge
• Manage and scale data warehouse infrastructure
• Data governance frameworks: Data Management Association (DAMA) - Data Management Body of Knowledge (DMBOK), Data Management Capability Assessment Model (DCAM)
• Technical proficiency in SQL, Python and data modelling techniques
• Databricks (global data analytics and artificial intelligence company)
• Google's fully managed, petabyte-scale, low-cost data warehouse for analytics (BIGQUERY)
• Superscalars and Hyperscalers
• Project management experience in Agile and Waterfall methodologies
• Integrity, professionalism, ethical conduct in data management

Key Responsibilities:

• Ensure regulatory compliance by monitoring data privacy, security, industry-specific legal requirements to protect organization from fraudulent activities
• Enhance data quality, security by establishing processes for validation, reconciliation and master data management
• Be responsible for analytics Centre of Excellence across organization
• Develop and implement unified strategy, objectives, goals and policies for Enterprise Data Warehouse (EDW)
• Implement data stewardship framework, assigning roles and responsibilities across business units
• Manage data storage across entire Enterprise Data Warehouse
• Collaborate with cross-functional teams to align data strategy with business objectives
• Lead design and implementation of predictive models and algorithms identifying potentially fraudulent activities
• Ensure use of appropriate analytical tools and platforms enhancing fraud detection and prevention
• Develop and implement robust disaster recovery and business continuity plans
• Establish data governance committee comprising key stakeholders
• Promote data-driven decision making advocating use of high-quality data in business operations
• Implement data classification frameworks ensuring data security and access controls
• Develop data literacy programs organizing workshops and training campaigns
• Lead, mentor, and develop diverse teams fostering collaborative mindset
• Evaluate and implement tools like Collibra, Informatica or Alation for data governance
• Use Artificial Intelligence (AI) and machine learning to automate data quality checks
• Create enterprise data catalogue for easy discovery and accessibility to data assets