Data and AI Architect at SITA SOC (Ltd)

Purpose of the job

• The job is responsible to support SITA clients by designing Modern Data Platform and Analytics solutions. This will include to serve as a functional expert on projects, contributing to use case development, assessments, technical architecture, AI & IoT initiatives and help to ensure stakeholder satisfaction and return on investment.

Key Responsibility Area

• Provide project teams with effective leadership on projects. Guide and monitor the implementation of Data and AI architectures.
• Deliver feasibility and cost-benefit analysis, including choice of application architecture to enhance the overall application development process.
• Lead, design, and develop/customise and integrate complex systems.
• Planning, executing and managing the data architecture of new applications into existing systems throughout the organisation.
• Design and Drive reusable assets, growing Analytics and DevOps capability.
• Develop and implement the technology lifecycle management strategy and tender specifications.

Qualifications and Experience

• Minimum: 3-Year National Diploma / Degree in Software Engineering/ Computer Science /Information Technology/ Data Science - at least NQF level 6 or a verified / certified alternative equivalent @ NQF Level 6.
• Experience: 8 - 9 Years practical experience e in the ICT field, including IT Governance, IT Planning, system development/procurement, implementation and maintenance/enhancements of integrated solutions across multiple hardware and software platforms with senior operational responsibility in a large corporate/public sector organisation including: Extensive experience in software development in multiple platforms. Extensive experience within Applications Technical solution design in multiple business domains. Extensive Experience in integration. extensive experience in data management. The following experience will be an added advantage Experience in DevOps and Agile Methodologies. Experience in applications modernisation in the development and delivery of Data & AI solutions and business technology solutions to client organizations.

Deadline:3rd July,2026