AI & Technology Risk Auditor - Lead Consultant

Allstate Allstate · Insurance · Belfast, United Kingdom +1

Lead Consultant for AI & Technology Risk Auditor at Allstate, focusing on evaluating AI/ML governance, model risk, and controls in regulated environments. This role involves leading complex audits, assessing AI/GenAI/LLM implementations, and applying data analytics/AI-assisted audit techniques. The position requires experience in technology risk and auditing AI solutions, with a strong emphasis on compliance and risk management within a regulated enterprise.

What you'd actually do

  1. Independently lead complex technology, cyber, data, and AI-focused audits from planning through reporting, ensuring delivery of high-quality audit outcomes within agreed timelines.
  2. Develop and execute risk-based audit programs that assess governance, risk management, and control effectiveness across technology platforms, cloud environments, AI systems, and data solutions.
  3. Evaluate controls supporting the design, development, deployment, monitoring, and ongoing governance of AI and machine learning solutions.
  4. Assess generative AI and large language model (LLM) implementations, including model governance, prompt engineering controls, output validation processes, data privacy protections, and third-party AI service provider oversight.
  5. Apply data analytics, automation, and AI-assisted audit techniques to improve audit effectiveness, perform full-population testing, identify anomalies, and uncover emerging risks.

Skills

Required

  • Minimum 4+ years of experience in Internal Audit, External Audit, Risk Management, Technology Risk, Cybersecurity, or Technology Control functions within a regulated or large enterprise environment.
  • Minimum 1+ year of professional experience auditing, implementing, assessing, governing, or supporting AI, Machine Learning, Generative AI, or Advanced Analytics solutions.
  • Practical experience with at least one analytical or technical tool such as Python, SQL, Power BI, Tableau, Alteryx, SAS, or equivalent.
  • Proven experience presenting audit findings, risk assessments, or technology control recommendations to senior management and business stakeholders.

Nice to have

  • Professional certification including CISA, CIA, CPA, CFE, CA, CRISC, CISSP, or equivalent.
  • AI-related certifications such as: ISACA AI Fundamentals, ISACA Advanced in AI Audit (AAIA), AWS AI Certifications, Microsoft Azure AI Certifications, Data Science or Machine Learning certifications
  • Experience auditing cloud platforms including Azure, AWS, or Google Cloud.
  • Experience building or leveraging automated audit testing, continuous monitoring, predictive risk scoring, or audit automation solutions.
  • Understanding of cybersecurity, data governance, privacy, model risk, and regulatory compliance requirements impacting AI systems.
  • Demonstrated interest in emerging technology trends and the future application of AI within Internal Audit.

What the JD emphasized

  • AI
  • Generative AI
  • Machine Learning
  • AI-enabled solutions
  • model risk management
  • governance
  • controls
  • regulated environment
  • AI-assisted auditing techniques

Other signals

  • AI governance
  • model risk management
  • AI-enabled solutions
  • generative AI
  • LLM implementations