Manager: Data Governance (Compliance) at Capitec Bank

Purpose Statement

To establish and lead a Data Governance (Compliance) partner service by: 

• Selling the concept of Data Governance membership and the compliance thereof across the Enterprise
• Providing specialist technical support and expertise to enable the business and Enterprise to comply to Data Management practices.
• Providing Business Functions technical support and expertise throughout their compliance journey.
• To be accountable for the measurement and compliance of Data Risk & Governance as well as Data Management processes, standards, and practices across the enterprise (including Data Product Life Cycle (DPLC))

Experience

Minimum:

• At least 5 – 7 years’ proven technical experience in:
• Project and task planning and execution at a large scale within a complex and dynamic environment.
• Proven experience within one or more of the Data Governance and Data Management portfolios.
• Proven track record of delivering on complex Data Governance projects
• Management experience in a team-oriented workplace
• Proven track record of business relationship management, especially at a Senior/Executive level
• Experience with DAMA principles
• Experience in managing and mitigating Data Compliance risks

Ideal:

• Experience preferably gained in a financial environment
• Practical experience in applying Agile way of working methodologies

Qualifications (Minimum)

• A relevant tertiary qualification in Information Technology - Computer Science or Information Management

Qualifications (Ideal or Preferred)

• Bachelor's Degree in Information Technology - Computer Science or Information Management

Knowledge

Minimum:

• Data Product Life Cycle.
• Understanding of end-to-end D&A environments, including Data Governance & Management, Data Warehouse, and Business Intelligence.
• Industry leading data compliance, governance and management practices (including DAMA-DMBOK principles).
• Familiar with regulatory requirements such as RDARR, POPI, GDPR, PCI DSS and Data Product Life Cycle.
• Understanding of end-to-end Data Services environments, including Data Governance & Management, Data Warehouse, Business Intelligence and Data Science

Ideal:

• Knowledge of data and analytics within the banking or finance industry
• Industry leading data governance and management practices
• Formulation of Data Management metrics 
• Information systems and information system architecture 
• Workflow and process re-engineering
• TOGAF 
• Knowledge of Cloud and on-premises data solutions (AWS preferred)

Skills

• Computer Literacy (MS Word, MS Excel, MS Outlook)
• Decision making skills
• Management skills
• Change Management Skills
• Problem solving skills