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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI & Technology Risk Auditor - Lead Consultant - **Company:** Allstate - **Location:** Belfast, UK - **Experience:** Expert - **Salary:** £64,689.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cyber Security, Data Governance, Data Systems, Python (Programming Language), Machine Learning, Power BI, SAS (Software), Software Engineering, SQL Databases, Tableau (Software), Google Cloud, Cloud Platform System, Large Language Models, Prompt Engineering, Generative AI, Containerization, Data Analytics, Alteryx - **Published:** July 18, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5806148434 ## About the Role * All applicants must demonstrate they have a legal right to work in the UK for employment at Allstate. Allstate is not providing sponsorship for this vacancy. * 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. Desirable Skills: * 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., Data Analytics, Risk Management, Software Development, Technology Risk ## Description The Lead AI & Technology Risk Auditor is a senior audit professional responsible for leading complex technology and business audits across high-risk and emerging technology domains, with a particular focus on Artificial Intelligence (AI), Generative AI, Machine Learning (ML), advanced analytics platforms, and cloud-native technologies. This role serves as both an audit leader and subject matter expert, designing and executing audit strategies that evaluate the effectiveness of technology controls, AI governance practices, model risk management, automation frameworks, and data-driven decision-making systems. The Lead AI & Technology Risk Auditor provides independent assurance over AI-enabled solutions while helping the audit function evolve through the adoption of AI-assisted auditing techniques, data analytics, automation, and innovative audit methodologies. Working closely with business leaders, technology partners, risk functions, and audit teams, this individual influences audit strategy, mentors auditors, and helps ensure that Allstate's adoption of AI technologies remains secure, compliant, ethical, and appropriately governed., * Independently lead complex technology, cyber, data, and AI-focused audits from planning through reporting, ensuring delivery of high-quality audit outcomes within agreed timelines. * 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. * Evaluate controls supporting the design, development, deployment, monitoring, and ongoing governance of AI and machine learning solutions. * 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. * Apply data analytics, automation, and AI-assisted audit techniques to improve audit effectiveness, perform full-population testing, identify anomalies, and uncover emerging risks. * Conduct walkthroughs, control assessments, testing procedures, and root cause analysis for complex technology and business processes. * Communicate audit observations and recommendations through sprint reviews, stakeholder discussions, and formal audit reports. * Partner with technology and business leaders to understand strategic initiatives, emerging risks, and evolving regulatory requirements. * Provide coaching, mentorship, and technical guidance to audit team members in areas including technology risk, AI governance, data analytics, control evaluation, and strategic thinking. * Contribute to Internal Audit transformation initiatives through the development of innovative audit methodologies, AI-enabled audit practices, continuous monitoring capabilities, and automation solutions. * Maintain awareness of emerging AI regulations, industry standards, and technology trends, incorporating them into audit planning and execution. ## Related Videos - [Rethinking Recruiting: What you didn’t know about Responsible AI](https://www.wearedevelopers.com/videos/1090-rethinking-recruiting-what-you-didn-t-know-about-responsible-ai) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [REST, GraphQL, gRPC, and more: A comparison of modern API styles](https://www.wearedevelopers.com/videos/100247-rest-graphql-grpc-and-more-a-comparison-of-modern-api-styles) - [Introduction to Responsible AI: Balancing Value and Risk](https://www.wearedevelopers.com/videos/1972-introduction-to-responsible-ai-balancing-value-and-risk) - [The Data Mesh as the end of the Datalake as we know it](https://www.wearedevelopers.com/videos/156-the-data-mesh-as-the-end-of-the-datalake-as-we-know-it) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) ## Related Articles - [Got AI ideas but no money? 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