Manager: Digital Automation – Group Internal Audit

Johannesburg, South AfricaFull-timeSeniorOn-sitePosted 30 Oct 2026

Job Overview

Nedbank Group Internal Audit (GIA) is appointing a Manager: Digital Automation in Johannesburg/Sandton (requisition 148497; Governance and Compliance job family; Internal Audit career stream; closing 6 November 2026). The role provides strategic and technical leadership for GIA’s data, management information, reporting, automation and generative AI agenda – translating audit and business priorities into governed, scalable data products, executive insights, intelligent workflows and AI-enabled solutions.

The Manager leads the data enablement, MI, reporting and automation roadmap aligned to the GIA Digital Strategy; owns executive and Audit Committee reporting products; and designs and implements solutions on Microsoft Fabric, Power BI, Azure AI Foundry, Power Platform, Python and SQL – including AI agents, retrieval-augmented generation (RAG) pipelines and vector search for secure internal audit use cases – while coaching analysts, developers and citizen automators.

Key Responsibilities

Lead the GIA data enablement, management information, reporting and automation roadmap aligned to the GIA Digital Strategy
Own executive, Audit Committee and operational reporting products – dashboards, scorecards, trend analysis and forward-looking indicators
Establish reporting standards, data definitions, quality controls, reconciliations and governance
Identify and deliver automation across the audit lifecycle – planning, fieldwork, issue management, QA, evidence handling and workflow orchestration
Design and implement solutions on Microsoft Fabric, Power BI, Azure AI Foundry, Power Platform, Python and SQL
Lead development of AI agents and GenAI solutions, RAG pipelines, vector search and prompt patterns for secure audit use cases
Define solution architecture, delivery standards, testing, release controls and monitoring for data, automation and AI products
Partner with audit executives, data owners, IT, information security, privacy and model risk; drive adoption and value tracking
Coach and quality-assure analysts, developers and citizen automators; build data literacy and responsible-AI capability

Required Qualifications

Bachelor’s degree in Data Science, Computer Science, Information Systems, Software Engineering, Business Analytics or related; postgraduate advantageous
Azure, Microsoft Fabric, Power BI, AI/ML, data engineering or solution architecture certification advantageous
5–8 years’ experience across data analytics, MI, BI, data engineering, automation, AI/ML or digital product delivery
Hands-on delivery of executive dashboards, automated reporting, data pipelines or workflow automation in an enterprise
Practical exposure to GenAI, LLMs, RAG or AI-agent development
Internal audit, risk, compliance or financial services experience advantageous

Skills & Requirements

Microsoft FabricPower BIAzure AI FoundryPower PlatformPythonSQLGenerative AIRAG & Vector SearchAI AgentsProcess AutomationData GovernanceExecutive ReportingInternal Audit Analytics