Audit Director leading AI Assurance Tooling at Citi. Managing a team to enhance AI-driven audit delivery efficiency.
Responsibilities
Provide strategic guidance, oversight, and direction for the execution of IA’s AI and GenAI tooling strategy, in line with IA’s strategy, including tool evaluation and platform selection for IA assurance.
Partner with a network of IA Business/Function teams to identify, design and embed adoption of AI/GenAI solutions across IA.
Evaluate vendor and other internal solutions for assurance adoption.
Optimize resource allocation for AI/GenAI adoption by prioritizing the onboarding pipeline to address high-impact use cases, considering both business demand and operational capacity.
Partners with IA Business/Function teams and the AI Technical Enablement team to deliver solutions on time, within scope, and to required quality standards.
Partner with Lines of Defense teams to identify synergistic opportunities for usage and development of assurance tools.
Perform technical and business processes impact assessments.
Support the broader teams AI assurance mandate.
Attract, develop, and retain talent; recommending staffing levels required to fulfil responsibilities effectively while establishing and adhering to talent management processes and compensation and performance management programs.
Work across IA to maximize the efficiency and effectiveness of resources.
Provide local site leadership encouraging engagement and collaboration across all IA organizations.
Support and endorse the Quality Assurance (QA) function of IA, and resolve issues found by QA, improving audit processes and coverage.
Develop and maintain strong working relationships across other IA teams and Regulators.
Build trust through proactive and transparent interactions while maintaining strong relationships with regulators aligned to Internal Audit.
Participate and share relevant knowledge and insight, on an ongoing basis, within and across IA teams, to drive the consistent application of the methodology, consistency of audit opinions, higher efficiency, and improved quality of overall assurance.
Requirements
Extensive experience in a related role including risk and control expertise.
Experience in technology enabled change, business process engineering and optimization.
In-depth understanding of GenAI/AI and machine learning concepts, algorithms and techniques, and AI/ GenAI lifecycle.
Strong knowledge of IT governance and control frameworks (e.g. COBIT, NIST, Cybersecurity Framework).
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.
Executive presence and expert in building and maintaining strong open relationships with executive stakeholders, working as a partner, exerting influence and providing credible challenge in a constructive manner.
Ability to quickly comprehend the full risk implications of complex global issues, escalate to the appropriate level and provide advice and on pragmatic commercial solutions.
Outstanding performer, open minded, resilient, agile, energetic, self-starter, articulate and empathetic whilst being confident to deliver opinions to bring about positive outcomes.
Strong leadership skills including a track record of identifying and developing world class talent.
Experienced in leading large, dispersed and diverse professional teams.
Experience in technology product management.
Demonstrated success in business, functional and people management.
Consistently demonstrates clear and concise written and verbal communication.
Demonstrated ability to remain unbiased in a diverse working environment.
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