Senior Audit Manager - AI Technical Enablement

• Contribute to the execution and operationalization of IA’s GenAI tooling strategy, including tool evaluation and platform selection for IA Assurance
• Execute the technical design, development, and implementation of specific AI/GenAI solutions for AI-enabled assurance tests, including prototyping and piloting of GenAI audit accelerators
• Manage the development, validation, and industrialization of high-impact GenAI use case proof-of-concepts, guiding them from ideation through successful production deployment
• Identify technical requirements and performing ROI and technical feasibility assessment for identified use-cases
• Collaborate with Citi’s technical and engineering team for build and development of identified use-cases and AI/GenAI systems
• Collaborate closely with the AI Business Enablement team and key stakeholders within IA's Digital Solutions & Innovation team to ensure technical alignment and successful integration of AI solutions, reporting progress and challenges to the Audit Director
• Actively contribute to the continuous improvement of AI/GenAI solutions by implementing and tracking adoption metrics, analyzing user feedback, and identifying areas for enhancement
• Address and resolve technical impediments to the onboarding and scalable adoption of AI/GenAI solutions, focusing on maximizing time-to-value
• Serve as a primary technical expert, providing hands-on guidance on AI/ML concepts, MLOps practices, and cloud-based AI/ML platforms to ensure robust and secure solution delivery
• Partner with Directors and Managing Directors to develop approaches for addressing broader corporate emerging issues
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behaviour, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards.

• Previous experience in a related role
• Experience in developing technical solution design at conceptual and high-level
• Sound understanding of AI and machine learning concepts, algorithms and techniques, and AI/GenAI lifecycle
• Good knowledge of IT governance and control frameworks (e.g. COBIT, NIST, Cybersecurity Framework)
• Knowledge of MLOps principles and practices, including model deployment, monitoring, explainability, and lifecycle management
• Familiarity with leading cloud-based AI/ML platforms and their associated governance, security, and deployment best practices
• Understanding of security vulnerabilities and risks specific to AI/ML systems, including adversarial attacks and data privacy considerations
• Familiarity with data governance principles, data quality management and data security practices
• Related certifications such as Certified Information Systems (CISA), Certified Internal Auditor (CIA), Certified in Risk and Information Systems (CRISC) or similar
• AI-related certifications are a plus
• Demonstrated successful experience in business, functional and people management
• Proven ability to execute concurrently on a portfolio of high quality deliverables according to strict timetables
• Demonstrated ability to implement continuous improvement and innovation in audit tools and techniques
• Consistently demonstrates clear and concise written and verbal communication
• Demonstrated ability to remain unbiased in a diverse working environment
• Effective negotiation skills.

AI-related certifications.

• medical, dental & vision coverage
• 401(k)
• life, accident, and disability insurance
• wellness programs
• paid time off packages including vacation, sick leave, and paid holidays.