Director: Data Governance at National Treasury

Qualification/s Requirements

• A Grade 12 coupled with minimum Bachelor’s degree (equivalent to NQF Level 7) in Computer Science or Economics or Data Science or Information Management or related qualification; 
• A minimum 5 years’ experience at a middle/senior managerial level obtained in data governance, management and compliance; 
• Experience in the formulation and managing of data governance frameworks, policies and practices. Knowledge of data governance frameworks (e.g., DAMA-DMBOK), data privacy regulations (e.g. POPIA), and data quality standards; and 
• Knowledge and experience with data management tools and metadata management platforms. Successful completion of the Nyukela Public Service Senior Management Leadership Programme as endorsed by the National School of Government available as an online course on https://www.thensg.gov.za/training-course/sms-pre-entry-programme/, prior to finalisation of an appointment.

Key Performance Areas

Data governance framework and policy development: 

• Develop and implement a comprehensive data governance and management framework, including policies, standards, and procedures;
• Define data ownership, stewardship roles, and accountability across the organization; 
• Establish a Data Governance Committee to drive adherence to data policies and facilitate decision-making; 
• Define and track key data governance metrics to measure the effectiveness of data governance initiatives; and
• Lead data governance and data management related to the MzansiXchange.

Data and metadata management: 

• Implement and oversee master data management processes to ensure consistency and accuracy of critical data entities;
• Establish a data catalogue to classify National Treasury data assets; 
• Implement metadata management practices; and 
• Ensure that data catalogue and metadata are continuously updated. 

Data quality management and improvement: 

• Establish data quality metrics, standards, and processes to ensure data accuracy, completeness, consistency, and reliability; 
• Develop appropriate techniques for data verification, profiling, cleaning, and monitoring techniques to maintain high data quality; 
• Collaborate with data stewards and divisions to identify data quality issues and drive corrective actions;
• Stay updated on emerging trends, technologies, and best practices in data governance and data management; and 
• Lead initiatives to adopt new tools and technologies that enhance data governance capabilities. 

Data compliance, security, and risk management: 

• Ensure compliance with data privacy laws and regulations (e.g., POPIA) and industry standards; and  
• Identify potential data risks and develop strategies to mitigate them, including data access controls and encryption Collaborate with the IT and cybersecurity teams to ensure data security protocols are integrated into the data governance framework. 

Stakeholder engagement: 

• Train and educate stakeholders on data governance best practices, data ownership, and compliance requirements; 
• Engage internal and external stakeholders on new developments pertaining to data governance, compliance, security and risk management and their impact on the management of data in the National Treasury; 
• Represent National Treasury on inter-governmental and other external forums and committees related to data governance; and 
• Establish relationships with key government departments, research and international organisations to advance data governance functions.