Data Enablement Analyst at Nedbank

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

• Applied Learning
• Communication
• Collaborating
• Decision Making
• Technical/Professional Knowledge and Skills

Closing date: 26 May 2026