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Strong employer brand and metro location but niche audit+AI specialization reduces applicant pool.
Role requires internal audit and risk domain experience, limiting cross-industry transferability.
Multiple mandatory skills in low-code, AI, and audit domain increase screening rigor.
Lead delivery and scaling of low-code/no-code AI and automation solutions across the internal audit lifecycle to enhance efficiency and insight.
Develop and deploy AI-enabled tools such as Power Platform and Generative AI to automate audit testing, workflows, and data analysis.
Drive adoption through training, playbooks, and embedding AI solutions into audit methodology ensuring responsible use and compliance with governance.
Experience with low-code/no-code platforms (e.g., Power Apps, Power Automate, Power BI, Alteryx, Dataiku).
Strong skills in data handling, analysis, and visualization (Excel, SQL, data manipulation).
Experience in internal audit, risk, or compliance with understanding of audit lifecycle and control testing.
Work Experience Required: Not explicitly mentioned in the JD.
Proven ability to translate audit and business requirements into scalable AI and automation solutions without full-scale software development.
Experience working at the intersection of technology and audit, with strong stakeholder engagement across business and technology teams.
Demonstrated capability in driving change by training and enabling non-technical users to adopt new AI-driven audit tools and methodologies.