Lead the end-to-end design, development, project management, and implementation of AI-driven solutions.
Accurately identify key business objectives and related risks prior to assessment of control mechanisms.
Demonstrate a value-added approach to assurance by providing practical recommendations.
Deliver risk-based audits using technology-enabled testing and analytics-driven insights.
Assess design and operating effectiveness across strategic, operational, financial and technology risks.
Embed analytics and automation across the audit lifecycle and maintain reusable scripts and dashboards.
Champion ServiceNow and SharePoint for workpapers, workflow and issue management.
Partner with IT/InfoSec and business SMEs to validate findings and uplift audit quality.

Bachelor’s degree in information systems, Data Science, or related field.
1–2 years of experience through internships, academic projects, or early career roles applying analytics, automation, or AI concepts.
Proficiency with analytics tools (e.g., Python, Power BI/Tableau) and AI/automation platforms (e.g., Copilot, ServiceNow).
Understanding of internal audit principles, risk management and tech-enabled assurance; knowledge of AI and data governance/ethics.
Strong communication, stakeholder and project management skills; operate independently and as part of a global team; commitment to continuous learning.

Analyst, Global Internal Audit, AI

Key skills