IT Auditor - AI & Data

About the role

The IT Auditor evaluates the effectiveness of IT governance, cybersecurity, data integrity, IT general and application controls and technology-related risk management. The role also builds and deploys AI and data solutions that improve audit efficiency, enable full-population testing and strengthen risk coverage across Group companies, while assessing controls over the use of AI technologies.

Key responsibilities

• Support engagement leads on advisory work such as system implementation reviews, infrastructure upgrade/migration 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 via APIs and the Model Context Protocol (MCP).
• Develop continuous controls monitoring, full-population transaction testing, process mining and anomaly and fraud detection solutions.
• Use Power Automate and Power BI to automate audit evidence, working papers and reports.
• Contribute to scoping ITGC, application controls, cybersecurity, data governance and IT project audits, and perform ITGC testing (access management, change management, IT operations, backup and recovery, SDLC).
• Review cybersecurity processes such as incident reporting, vulnerability management, patching and log monitoring.
• Assess IT governance maturity using COBIT and ISO frameworks, and evaluate cloud security and configuration controls (Azure, AWS, Google Cloud).

Required profile

• Bachelor'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 (Microsoft Azure, AWS, Databricks, Snowflake) are an advantage.

Required skills

• Strong SQL and Python programming skills.
• Proficiency in Power BI, Power Automate and audit analytics tools (ACL, IDEA, Celonis).
• Experience with API and MCP integration, Copilot Studio, SAP AI and process mining tools is desirable.
• Ability to explain technical results simply to non-technical audiences.