Key details

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Requirements

A Grade 12 is required coupled with a minimum National Diploma (equivalent to NQF level 6) or Bachelor’s degree (equivalent to NQF level 7) in Information Technology. A minimum 4 years’ experience of which 2 years should be at an Assistant Director level or equivalent obtained in technology data analysis environment.

Knowledge and experience of the following ICT disciplines: Project Management, Data Architecture, Data Anaylsis and System Development Lifecycle.

Knowledge and experience utilising the Unified Modelling Language (UML) / Business Process Model and Notation (BPMN) and Entity Relationship Diagram (ERD) modelling standards.

Duties

Data Architecture: Analyse the National Treasury data requirements and define the current and target data baselines.

Define the data standards for National Treasury in line with the new Enterprise Architecture and Acquisition approach.

Review data guidelines and specifications for refinement and align with business requirements and outputs.

Develop IT data management processes and procedures for utilisation in business.

Develop a data dictionary for implementation in business and maintain and align with new ICT approach.

Operational and Project Planning: Manage ICT projects and ensure project governance and implementation according to set plans and 129 procedures.

Monitor, control project teams and initiate change integration on corrective action.

Coordinate operational project plans for implementation.

Utilise the Prince 2 or PMBoK principles for effective implementation of project and program.

Analyse and review operational and project requirements of business for implementation, Initiate the recommended enterprise architecture projects for business.

Opportunities and Solutions: Analyse the data architecture status and identify data gaps for implementation.

Identify data opportunities and solutions on remedial ICT interventions to address identified gaps.

Establish, develop, implement and manage an internal departmental procurement ICT solution for business.

Migration Plan (SISP): Define a data migration objective for implementation within business.

Scan business for future challenges on technological improvements.

Operations and Utilisation: Define data specification of identified opportunities for development and implementation.

Implement a data architectural baseline within business.

Define and execute quality verification and test plans to ensure effective data deployments within business.

How to apply

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