VP, AI Audit – Shared Services

Posted 3hrs ago

Employment Information

Education
Salary
Experience
Job Type

Report this job

Job expired or something wrong with this job?

Job Description

VP leading AI and GenAI audits for a bank’s governance, risk, and compliance. Assessing model risk, cybersecurity, regulations, and third-party AI platforms while developing audit teams.

Responsibilities:

  • Develop and implement risk-based AI/GenAI audit strategies aligned with the Bank's AI agenda and regulatory expectations
  • Execute audits across the AI/ML lifecycle, including data sourcing, training, validation, deployment, monitoring, retraining, and decommissioning
  • Provide assurance on AI governance, model risk management, ethics, fairness, bias, explainability, and human-in-the-loop controls
  • Audit GenAI/LLM use cases, including RAG pipelines, fine-tuning, prompt engineering, guardrails, vector databases, and output validation
  • Assess AI cybersecurity risks such as adversarial attacks, prompt injection, data poisoning, model theft, and jailbreaks
  • Evaluate third-party AI risks involving foundation model providers and cloud AI platforms
  • Assess compliance with AI and data regulations including CBUAE, QCB, SBP, RBI, and UAE PDPL
  • Audit AI use in credit, AML/fraud, KYC, chatbots, personalization, trading, and operations automation
  • Prepare and present audit reports to the Board Audit Committee, GCEO, and senior management
  • Support Internal Audit AI transformation through continuous auditing, GenAI-enabled audit tools, and audit team upskilling
  • Guide, coach, and develop AI audit team members
  • Support integrated audits with AI and technology subject-matter expertise across the Bank

Requirements:

  • Bachelor's degree in Computer Science, IT, Data Science, AI, Statistics, Mathematics, or a related quantitative field
  • Minimum 10–12 years in IT audit, technology risk, model risk, or AI/data governance
  • At least 3–4 years directly focused on AI/ML or GenAI risk, governance, or audit
  • Banking experience preferred
  • CISA mandatory or to be obtained within 12 months
  • Strong understanding of supervised, unsupervised, reinforcement, and deep learning, NLP, and computer vision
  • Knowledge of foundation models, transformers, embeddings, RAG, fine-tuning, prompt engineering, agentic AI, and multimodal AI
  • Familiarity with OpenAI, Anthropic, Google, Meta, Mistral, and open-source models
  • Experience with Azure OpenAI, AWS Bedrock/SageMaker, Google Vertex AI, Databricks, Hugging Face, LangChain, and vector databases
  • Knowledge of AI governance and risk frameworks
  • Strong analytical and problem-solving skills focused on novel AI risks
  • Excellent communication and interpersonal skills for technical and non-technical stakeholders, including the Board
  • Ability to work independently, lead a team, and collaborate across departments and geographies