Job Purpose

• To lead the Intelligent Solutions, stream by driving the design and delivery of advanced automation and AI-driven solutions. This role ensures technical excellence through Generative AI, low-code platforms (Power Apps), enterprise AI ecosystems (AI Hub, Azure Foundry), and robust integration capabilities. The incumbent will enable scalable, fit-for-purpose solutions that integrate seamlessly into business frameworks, leveraging APIs, databases, and modern programming languages to foster digital transformation.

Job Responsibilities
Strategic Leadership

• Champion adoption of Generative AI and intelligent automation across business units.
• Define and maintain the Intelligent Solutions roadmap aligned with organizational goals.
• Conduct benchmark studies and identify leading practices in AI and automation.

Solution Design & Governance

• Facilitate design processes for automation and AI solutions, ensuring alignment with enterprise architecture.
• Review and sign off on Process Definition Documents (PDD) and Solution Design Documents (SDD).
• Ensure compliance with governance frameworks, security standards, and regulatory requirements.

Technical Delivery

• Drive implementation of AI Hub, Azure Foundry, and related platforms for solution development.
• Oversee development and onboarding of automation solutions, including Power Apps and low-code tools.
• Design and implement API-driven integrations between systems and applications.
• Ensure robust data handling through relational and non-relational databases.
• Build and maintain a repository of reusable artefacts for intelligent solutions.

Quality Assurance

• Take accountability for technical quality throughout the solution lifecycle.
• Validate user acceptance testing and ensure seamless integration into IT infrastructure.

People & Resource Management

• Lead and mentor a team of developers, analysts, and automation specialists.
• Identify and secure specialized resources and manage team performance.
• Provide coaching and technical guidance to stakeholders and team members.

Essential Qualifications – NQF Level

• Advanced Diplomas/National 1st Degrees

Preferred Qualification

• NQF Level 7 qualification in Computer Science, Information Systems, or AI-related discipline.

Essential Certifications

• Microsoft Power Platform Fundamentals
• Azure AI Engineer Associate (or equivalent)

Preferred Certifications

• AI/ML certifications (Microsoft, AWS, or Google)
• API Development and Integration
• Project Management (Agile/Scrum)

Minimum Experience Level

• 5+ years in IT solution design and delivery, with at least 3 years in automation or AI-related projects.
• Proven experience in Generative AI, low-code platforms, API integration, and enterprise AI ecosystems.

Technical / Professional Knowledge

• Business administration and management
• Change management
• Employee training/development
• Principles of project management
• Stakeholder management
• General Communication Skills
• Influencing
• Banking knowledge
• Banking procedures
• Business principles

Behavioural Competencies

• Continuous Improvement
• Execution
• Technical/Professional Knowledge and Skills
• Customer Focus
• Decision Making
• Delivering High-Impact Presentations
• Aligning Performance for Success