IT Auditor - AI & Data

Job Purpose The IT Auditor is responsible for evaluating the effectiveness of the organization’s IT governance, cybersecurity, data integrity, IT general and application controls, and technology-related risk management processes, including build and deploy AI and data solutions that improve audit efficiency, enable full-population testing and strengthen risk coverage across the Group companies, while evaluating IT governance, cybersecurity and controls over the use of AI technologies.Key ResponsibilitiesSupport engagement leads on advisory engagements including system implementation reviews, infrastructure upgrades/migrations reviews, and digital transformation initiatives.Integrate data from ERP systems (e.g., SAP S/4HANA) and cloud data platforms (e.g., Snowflake, Databricks, Microsoft Fabric) for audit use.Build and deploy AI agents and copilots using tools such as Claude, Microsoft Copilot, Copilot Studio and SAP S/4HANA, connected to business systems through APIs and Model Context Protocol (MCP).Develop continuous controls monitoring, full-population transaction testing, process mining, and anomaly and fraud detection solutions.Use automation Power Automate and Power BI to automate the preparation of audit evidence, working papers and reports.Contribute to scoping activities for IT General Controls (ITGC), application controls, cybersecurity, data governance, and IT project audits.Perform ITGC testing including access management (provisioning & deprovisioning), change management, IT operations, backup & recovery, and SDLC.Review cybersecurity processes and controls such as incident reporting and management, vulnerability management, patching, and log monitoring.Assess IT governance maturity using COBIT / ISO frameworks & evaluate cloud security and configuration controls (Azure, AWS, Google Cloud).Qualifications, Experience, Skills & CompetenciesBachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, Accounting, or a related field. Minimum 5 years’ experience in data or software engineering, preferably supporting internal audit, risk or finance functions. Hands-on experience with LLM agents, prompt engineering and Retrieval-Augmented Generation (RAG). Understanding of internal controls, risk frameworks (COSO, IIA Global Internal Audit Standards) and data privacy requirements. CIA, CISA, ISACA AAIA, or cloud/AI certifications (e.g., Microsoft Azure, AWS, Databricks, Snowflake) are an advantage.Skills & CompetenciesStrong analytical and critical thinking abilities & excellent communication and report‑writing skills.Strong SQL and Python programming skills.Experience with API and MCP integration, Copilot Studio, SAP AI and process mining tools is desirable.Proficiency in Power BI, Power Automate and audit-analytics tools (ACL, IDEA, Celonis).Strong analytical, problem-solving and stakeholder engagement skills, with a client-facing / forward-deployed mindset.Ability to explain technical results in simple terms to non-technical audiences, with excellent communication and report-writing skills.