Requirements

Operating system

Windows

Our requirements

• Minimum 6 years of experience in compliance, internal audit, or risk management, with a strong focus on financial controls and ITGCs.
• Proven track record in SOX and/or SOC audit environments, including control testing and documentation.
• Solid understanding of AI/ML technologies, automation platforms (e.g. RPA, BOTs), and digital ethics.
• Familiarity with regulatory frameworks such as GDPR, EU AI Act, ISO/IEC 42001, and NIST AI RMF.
• Strong analytical and communication skills, with the ability to influence stakeholders across business, audit, and technology functions.

Your responsibilities

• Participate in development and implementation of a scalable AI and automation compliance framework, aligned with enterprise policies and both local and global regulatory expectations (e.g. SOX, SOC, GDPR, EU AI Act). Evaluate AI/ML, BOT, and automation solutions for control design, audit readiness, and risk exposure—ensuring appropriate safeguards are in place across the lifecycle.
• Ensure that AI, automation, and machine learning solutions are designed and operated in full alignment with internal enterprise policies and applicable local and global regulatory standards, including data protection, ethical AI use, and sector-specific compliance obligations.
• Act as a key compliance advisor in cross-functional governance forums, providing guidance on regulatory interpretation, policy development, and risk mitigation strategies related to emerging AI technologies and automated decision-making systems.
• Integrate AI-specific controls into the broader internal control framework, including:
• IT Application Controls (ITACs), Manual Controls, and IPE validation
• Logical Access, Change Management, and Segregation of Duties
• Human-in-the-Loop rules, exception handling, and audit trail requirements
• Data integrity, classification, and input validation in automated environments
• Partner with internal auditors to support SOX and SOC reviews, including walkthroughs, testing, and remediation of AI-enabled processes.
• Oversee model governance and validation activities for AI tools, ensuring explainability, traceability, and compliance with secure development lifecycle standards.
• Monitor internal and third-party AI solutions for compliance with enterprise policies and regulatory requirements.
• Drive training and awareness initiatives for control owners, testers, and developers on AI-related compliance risks and mitigation strategies.
• Stay abreast of emerging regulations and industry standards, translating them into actionable compliance controls and guidance.