General Manager Data Warehouse

Fempower Personnel; Johannesburg; On-site; ZAR 400 000 - 500 000; Full time

Job summary

A data management firm in Johannesburg seeks an experienced General Manager for their Data Warehouse. This role involves providing strategic leadership and overseeing the implementation of a centralized data repository, ensuring data governance and compliance while leading cross-functional teams. Candidates should possess significant experience in data management, data warehousing, strong SQL and Python skills, as well as relevant qualifications such as a B Degree in Data Science or related fields. This is a permanent position with an emphasis on promoting data-driven decision-making.

Qualifications

• Minimum 10 years data management experience including data warehousing and governance.
• Proven track record implementing large-scale enterprise data warehouses.
• Extensive knowledge of data governance frameworks and regulatory compliance.

Responsibilities

• Ensure regulatory compliance protecting organization from fraudulent activities.
• Enhance data quality by establishing validation and reconciliation processes.
• Manage data storage across the Enterprise Data Warehouse.

Skills

Data management experience

Data governance frameworks knowledge

Proficiency in SQL

Technical proficiency in Python

Experience with data integration tools

Business intelligence and analytics platforms

Project management experience

Management of data warehousing infrastructure

Education

B Degree/B Tech/Advanced Diploma in Data Science/Information Technology/Computer Science/Information Systems

Certified Data Management Professional (CDMP)

The Open Group Architecture Framework (TOGAF)

Tools

Databricks

Google BIGQUERY

Collibra

Informatica

Alation

Job description

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