AI Audit Enablement Lead

Job description

Job Summary Title AI Audit Enablement Lead Department Internal Audit Location India Reports To Head of Audit Transformation Level 5 - Manager Job Type Permanent About The Role 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. Key Responsibilities • 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 and Qualifications Required • 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.