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Tier-1 employer and metro location, but niche audit+low-code/GenAI skillset limits candidate pool.
Strong dependence on audit/risk experience and governance knowledge limits cross-industry transferability.
Requires both internal audit domain experience and specific low-code/GenAI tooling skills, creating strict filters.
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Lead delivery and scaling of low-code/no-code AI and automation solutions across the audit lifecycle to enhance efficiency, coverage, and insight generation.
Develop reusable tools, templates, and standards to support consistent AI adoption within audit teams while ensuring adherence to governance and control requirements.
Drive adoption and behavioral change of AI-enabled auditing by training auditors, embedding AI into methodology, and collaborating with Technology, Data and Risk teams for integration.
Experience with low-code/no-code platforms such as Power Apps, Power Automate, Power BI, Alteryx, or Dataiku.
Proven background delivering automation or analytics solutions in business environments.
Experience working in or with Internal Audit, Risk, or Compliance, including understanding of audit lifecycle and control testing.
Work Experience Required: Not explicitly mentioned in the JD.
Strong capability in translating audit requirements into scalable technology-driven solutions involving structured and semi-structured data.
Practical and solution-oriented approach focused on scalability, delivery, and driving adoption of AI tools by non-technical users.
Solid stakeholder engagement skills with experience collaborating across business and technology teams to embed AI within audit functions.