IT Auditor - AI & Data
Job Description & How to Apply Below
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 Responsibilities- Support 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/4
HANA) 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/4
HANA, 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).
- 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 (e.g., Microsoft Azure, AWS, Databricks, Snowflake) are an advantage.
- 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).
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