Audit Director – AI Technology, Cyber, Data and GenAI Engineering Job at Citi (London)

Job Description

The Audit Director – AI Technology, Cyber, Data and GenAI Engineering is a senior level management position, reporting to the Chief Auditor Artificial Intelligence (AI) Assurance, responsible for managing a team of audit professionals with an overall objective to strategically direct audit activities and assessments of the risk and control environment for the adoption of AI/GenAI, specifically related to AI Technology, Cyber, Data and GenAI Engineering. This role will primarily focus on AI Technology, Cyber, Data and GenAI Engineering with the overall objective of this role to ensure that Citi Internal Audit’s approach to AI to position Citi IA as the leading IA function in the financial services industry.

Job Responsibility

Develop the strategy and direct the execution of a portfolio of concurrent assurance activities relating to AI Technology, Cyber, Data and GenAI Engineering
Act as a trusted subject matter experts on AI Technology, Cyber, Data and GenAI Engineering in financial services across the IA team
Partner with IA Technology and Business Enablement team to scale AI assurance across IA work programs
Lead and support AI audit engagements, ensuring that AI/GenAI systems are assessed against good architectural practices, security and safety design
Assessing GenAI platforms and tooling including vector databases, storage, orchestration frameworks, and GenAI-related infrastructure
Assessing security and safety controls for AI, GenAI and agentic AI implementation
Assessing approaches for red-teaming, safety testing, alerting
Assessing suitability of testing, reviews and validation of AI, GenAI and agentic AI from infrastructure, cyber security point of view
Assessing internal and external integration, use of AI / GenAI based APIs, gateways from stability, security point of view
Assessing GenAI observability and monitoring focusing on telemetry specific to GenAI and agentic systems
Evaluating resilience, disaster recovery of AI, GenAI and agentic systems
Evaluating data pipelines, retrieval systems, and agentic workflows with attention to data integrity, privacy enforcement, misuse prevention, access management, encryption, resilience and recovery, and robustness under adversarial conditions
Assessing data engineering, quality, and lineage across structured and unstructured data
Ensure timely delivery of comprehensive regulatory and internal audit issue validation
Evaluate the adequacy and effectiveness of internal AI governance policies, adherence to AI/GenAI related laws and regulations, and the robustness of AI-related ethical or compliance incident response frameworks
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
Perform control environment assessments and identify thematic issues and trends to improve controls and governance over the identification, measurement, management, and reporting of risks
Champion horizon scanning to anticipate new regulatory, ethical, and societal challenges in AI/GenAI and translate them into practical audit priorities
Promote auditability by design by advising product and engineering teams on controls, documentation, and governance structure needed to make AI systems inherently auditable
Shape the future of AI audit practices by contributing to the development of new assurance methods for emerging risks
Support and endorse the Quality Assurance (QA) function of IA, and resolve issues found by QA, improving audit processes and coverage
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 AI/Gen AI laws, rules and regulations
Represent IA in relevant governance forums including Boards and Committees
Develop and maintain strong working relationships across other IA teams, Management Stakeholders (MSs), and Regulators
Build trust through proactive and transparent interactions while maintaining strong relationships with regulators aligned to Internal Audit
Engage regularly with MSs to understand emerging risks and help address escalations
Pro-actively advise and assist MSs in considering risks and controls
Support the audit team in their interactions with MSs
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
Experience in cyber security, technical architecture, cloud services and integration patters related to AI and GenAI applications
In-depth understanding of technical architecture, system engineering with AI/GenAI focus
Preferably with audit experience, subject matter expert in AI Technology, Cyber, Data and GenAI Engineering
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
Ability to quickly comprehend the full risk implications of complex global issues
Outstanding performer, open minded, resilient, agile, energetic, self-starter, articulate and empathetic whilst being confident to deliver opinions
Strong leadership skills including a track record of identifying and developing world class talent
Experienced in leading large, dispersed and diverse professional teams
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
Effective negotiation skills
Bachelor’s degree/University degree in law, ethics, decision science, computer science, data science, finance, accounting or a related field, or equivalent experience
Master’s degree preferred

Nice to have

AI-related certifications are a plus
Master’s degree preferred

What we offer

Generous holiday allowance starting at 27 days plus bank holidays
increasing with tenure
A discretional annual performance related bonus
Private medical insurance packages to suit your personal circumstances
Employee Assistance Program
Pension Plan
Paid Parental Leave
Exclusive discounts for employees, family, and friends
Access to an array of learning and development resources

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Audit Director – AI Technology, Cyber, Data and GenAI Engineering

Job Description

Job Responsibility

Requirements

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