Title:  Data Enablement Analyst

REQUISITION DETAILS

REQ: 145949 Thembi Mtshali

Location: Johannesburg

Closing date: 26 May 2026

Job Family

Career Stream

Leadership Pipeline

Job Purpose

The Internal Audit: Data Enablement Analyst leverages data expertise, digital technologies, and generative AI (GenAI) to support Group Internal Audit’s (GIA) Digital Strategy and strategic objectives. This role delivers fit-for-purpose data and AI-driven products, enhances GIA’s data and AI infrastructure, and enables advanced analytics, machine learning, and intelligent automation. The analyst plays a key role in developing and orchestrating AI agents, deploying solutions via Azure AI Foundry and Microsoft Fabric, and embedding responsible AI practices into audit processes.

Job Responsibilities

•    Design and implement GenAI and AI-driven solutions to support audit execution, digital assurance, and intelligent automation.
•    Build, fine-tune, and orchestrate AI agents using frameworks such as Microsoft Agent Framework, LangChain, or Semantic Kernel.
•    Leverage Azure AI Foundry and Microsoft Fabric to develop, deploy, and manage AI applications and agents within a secure, scalable enterprise environment.
•    Enhance data and AI infrastructure to support advanced analytics, machine learning, and retrieval-augmented generation (RAG) pipelines.
•    Implement data pipelines, vector databases, and prompt engineering strategies to support GenAI use cases in internal audit.
•    Facilitate training and capability building in GenAI tools, prompt engineering, and AI literacy across GIA.
•    Collaborate with audit teams, data owners, and IT to align on data and AI needs, ensuring secure and ethical use of AI technologies.
•    Continuously monitor AI model performance, retrain and optimize models, and stay abreast of emerging GenAI trends and tools.
•    Identify innovation opportunities to improve audit effectiveness through AI and data-driven insights.

Essential Qualification

•    Relevant Degree/Diploma/Equivalent in Data Science, Computer Science, Information Systems, or related field.
•    A recognized software development certification/degree/diploma e.g. certification in AI/ML, Data Analytics, or Cloud Platforms (e.g., Azure AI Engineer Associate, Microsoft Certified: Azure Solutions Architect (advantageous).

Minimum Experience Level

•    2+ years of experience in data analytics, with exposure to AI/ML projects
•    Familiar with Agile development methodologies
•    Software development experience is advantageous.
•    Hands-on experience with GenAI tools, LLMs, or AI agent development preferred

Technical / Professional Knowledge

•    Generative AI and Large Language Models (e.g., GPT, Claude, Llama)
•    AI agent orchestration frameworks (e.g., LangChain, Semantic Kernel, Microsoft Agent Framework)
•    Azure AI Foundry and Microsoft Fabric for AI and data orchestration
•    Data Science, Data Engineering, and Data Modelling
•    Retrieval-Augmented Generation (RAG) pipelines and vector databases (e.g., FAISS, Pinecone)
•    Machine Learning and NLP techniques
•    Python programming for data processing, AI model development, and automation
•    SQL and data pipeline development
•    Microsoft Office
•    Relevant regulatory knowledge
•    Relevant software and systems knowledge
•    Business writing skills

Behavioural Competencies