Audit AI Enablement Manager

Audit AI Enablement Manager

Role Overview

The Audit AI Enablement Manager plays a critical role in embedding Artificial Intelligence (AI) into financial audit delivery. The position focuses on designing, deploying, and scaling Generative AI (GenAI) and predictive analytics capabilities to improve audit efficiency, quality, and insight.

Working within the Financial Audit Data Analytics function, this role leads the practical application of enterprise AI tooling (including Microsoft Azure AI Foundry, Copilot Studio, and ChatGPT Enterprise) to support real audit engagements and modernise audit methodologies.

Key Responsibilities

AI Solution Development

• Design, build, and deploy AI-enabled solutions to support audit methodology and execution.
• Develop engagement-specific AI copilots and automation workflows to assist with audit planning, documentation, testing, and evidence review.
• Translate audit requirements into scalable AI use cases.

Predictive Analytics & Machine Learning

• Explore and apply machine learning techniques (e.g. K-Means, Decision Trees, Isolation Forest, ARIMA) for anomaly detection, risk identification, and trend forecasting.
• Partner with technical teams to operationalise predictive models within audit workflows.

Audit Integration & Enablement

• Collaborate closely with audit teams to identify high-value, engagement-specific AI opportunities.
• Capture outcomes, benefits, risks, and lessons learned from AI-enabled audits.
• Ensure all AI solutions align with audit quality standards, regulatory requirements, and information security policies.

Stakeholder Engagement

• Work across audit, technology, risk, and compliance teams to ensure AI initiatives support broader firm strategy.
• Provide hands-on training, enablement, and guidance to audit teams adopting AI tools and workflows.
• Act as a trusted advisor on the practical use of AI in audit.

Innovation & AI Roadmap

• Define and maintain a roadmap for scaling AI capabilities across the audit function.
• Support the development of an internal AI Centre of Excellence.
• Monitor emerging AI technologies and assess their relevance to audit.

Qualifications

Experience

• Strong background in financial audit, ideally with exposure to technology-enabled or data-driven audit approaches.
• Practical experience working with AI platforms such as Azure AI Foundry, Copilot Studio, ChatGPT Enterprise, or equivalent technologies.

Technical Capability

• Solid understanding of Generative AI concepts, including AI agents and copilots.
• Awareness of machine learning and predictive analytics techniques.
• Familiarity with data integration patterns and Retrieval-Augmented Generation (RAG) pipelines.

Professional Qualification

• ACA, ACCA, or equivalent professional qualification (desirable).

Interpersonal Skills

• Strong collaboration and stakeholder management skills.
• Ability to clearly communicate complex technical concepts to non-technical audiences.
• Confident problem-solver with a delivery-focused mindset.

Additional Responsibilities

• Support onboarding and upskilling of audit teams in AI-enabled ways of working.
• Maintain clear documentation for AI solutions to support knowledge sharing, governance, and compliance.
• Contribute to project planning and delivery to ensure AI initiatives are implemented effectively and on time.

Expectations

• Proactively identify opportunities where AI can enhance audit quality, efficiency, and insight.
• Champion innovation while maintaining a strong focus on audit quality and risk management.
• Contribute to a culture of continuous improvement and responsible AI adoption within audit.