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 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/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 & Competencies

• 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.

Skills & Competencies

• Strong 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.