AI Audit Enablement Lead

Title AI Audit Enablement Lead

Department Internal Audit

Location India

Reports To Head of Audit Transformation

Level 5 - Manager

Permanent

This role will enable the adoption of AI and automation across the Internal Audit function by configuring, deploying, and scaling low-code/no-code solutions that enhance audit efficiency, coverage, and insight generation.

• Own and drive delivery of low-code AI and automation solutions across the audit lifecycle, including automated testing, workflow automation, and data-driven insights.
• Configure, deploy and scale AI-enabled tools (e.g., Power Platform, GenAI tooling, analytics platforms) to embed automation across the audit lifecycle.
• Develop reusable tools, templates and standards to support consistent and scalable use of AI and automation across audits.
• Translate audit requirements into practical, scalable solutions, bridging the gap between audit teams and technology capabilities.
• Enable continuous auditing and monitoring through dashboards, rule-based automation, and configurable analytics.
• Ensure responsible and controlled use of AI, aligning solutions to internal governance, risk, and control requirements.
• Drive adoption and behavioural change across the audit function, including training auditors, developing playbooks, and embedding AI into audit methodology and day-to-day practices.
• Collaborate and partner with Technology, Data and Risk teams to leverage existing platforms and integrate solutions into the enterprise ecosystem.

• Experience with low-code/no-code platforms (e.g., Power Apps, Power Automate, Power BI, Alteryx, Dataiku or similar)
• Strong data handling and analysis capability (Excel, SQL, data manipulation and visualisation tools).
• Proven ability to configure and deploy solutions without full-scale software development.
• Experience delivering automation or analytics solutions in a business environment.
• Proven ability to translate business problems into practical, technology-enabled solutions.
• Experience working with structured and semi-structured data.
• Experience working in or with Internal Audit, Risk, or Compliance, understanding of audit lifecycle, control testing, and assurance processes.
• Experience using Generative AI tools (e.g., document analysis, summarisation, prompt-based workflows)
• Understanding of AI capabilities and limitations, and how they can be applied in a business context.
• Awareness of responsible AI and data governance principles.
• Strong stakeholder engagement and communication skills, with the ability to work across business and technology teams.
• Practical, solution-oriented mindset with focus on delivery, scalability and adoption.
• Experience in training, supporting and enabling non-technical users, driving uptake of new tools and ways of working.