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

https://www.citi.com/ Logo

Citi

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Location:
United Kingdom , London

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Category:
IT - Administration

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Contract Type:
Not provided

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Salary:

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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

Additional Information:

Job Posted:
March 13, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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