Johannesburg: General Manager Data Warehouse

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