Title:  AI Enablement Analyst

Job Purpose

The AI Enablement Analyst is responsible for discovering, analysing, designing, building, testing, and optimizing AI-powered solutions that solve business problems and deliver measurable value.

The role combines the responsibilities of a traditional Business Analyst, Solution Analyst, AI Engineer, and Quality Engineer into a single AI-native delivery role. Working across the full delivery lifecycle, the AI Enablement Analyst partners with business stakeholders to define requirements, designs AI-enabled solutions, builds agents and automations using modern AI platforms, and ensures solutions meet business, risk, and governance requirements.

Job Responsibilities

Primary

• Work within the CIB AI Squad to analyse, design, prototype; develop and deliver Agentic AI solutions for business workflow, productivity, operational efficiency, risk reduction and client experience use cases across CIB.
• Elicit, document, and refine business requirements (e.g. user stories; acceptance criteria; process models; functional and non-functional requirements; business rules)
• Map end-to-end business processes and decision flows.

• Agentic Engineering:

• • Leverage AI-assisted development tools to accelerate solution delivery.
  • Use agentic coding platforms to generate, review, refactor, and test code.
  • Build and maintain prompt libraries, agent instructions, and reusable patterns.
  • Collaborate with engineering teams to operationalize AI-generated code.

• Build and configure AI solutions using platforms such as:

• • Microsoft Copilot Studio
  • Azure AI Foundry
  • Microsoft Power Platform, including Power Automate
  • Enterprise AI and prompt frameworks
  • AI agents and multi-agent workflows
  • GitHub Copilot and other AI coding assistants
  • Knowledge sources and retrieval patterns
  • Business process automation
  • API integrations and integration platforms

• Testing & Quality Engineering

• • Develop and execute functional, integration, and user acceptance test plans.
  • Build AI-specific evaluation frameworks and benchmark datasets.
  • Validate: Response accuracy; Business rule compliance; Reliability; Security and governance requirements
  • Conduct solution readiness reviews before production deployment.
  • Manage defects and continuous improvement activities
  • Contribute hands-on to the development, configuration, prototyping and testing of AI agents, automations and small point solutions using approved enterprise platforms and development practices.
  • Apply basic coding and scripting; configuration or low-code/no-code development where appropriate and be able to evolve into more complex engineering work

 Secondary

• Engage with business stakeholders to identify opportunities for AI, automation, and digital transformation.
• Support workshops, design thinking sessions, and process discovery exercises.
• Analyse current-state processes and identify improvement opportunities.
• Translate business problems into AI-enabled use cases and solution backlogs.
• Quantify business value, benefits, risks, and implementation feasibility.
• Identify data, system integration, and governance requirements.
• Ensure requirements traceability from business need through implementation.

Essential Qualifications- NQF Level

Advanced Diploma, National First Degree or equivalent qualification in Information Technology, Computer Science, Information Systems, Software Engineering, Data Science, Business Analysis, Informatics, Business Information Systems, Engineering or a related technology/business discipline.

Preferred Qualification

Postgraduate qualification and/or formal certification in Business Analysis, Agile, Software Development, AI, Generative AI, Agentic AI, Data Science, Automation, Microsoft Power Platform, Copilot Studio, Azure AI Foundry or related digital technology disciplines. Financial services, banking, CIB or digital transformation-related qualifications will be advantageous

Essential Certifications

Business Analysis, Agile/Scrum, software development, automation, AI, Microsoft Power Platform, cloud, data analytics or related technical certification would be required or must be obtained within an agreed timeframe

Preferred Certifications

IIBA endorsed BA certification, SAFe or agile certification, Microsoft Power Platform, Microsoft Azure AI, Copilot Studio, AI Foundry, Python, automation or relevant AI/agent development certification will be advantageous.

Minimum Experience Level

2–5 years’ experience as a Business Analyst or in a technical delivery role that required exposure to business stakeholders and business requirements, preferably in an agile scrum team, with exposure to AI, Agentic AI, automation, low-code/no-code platforms, scripting, configuration, prototyping or software development. The ideal candidate has foundational BA capability and practical technical aptitude, with the ability to translate business needs into delivery-ready requirements while also contributing to the build, configuration and testing of agents or small point solutions. Experience in banking, financial services, CIB, digital transformation or regulated environments will be advantageous

Technical / Professional Knowledge

Behavioural Competencies