The Audit Analytics & AI Auditor is responsible for embedding data analytics, automation, and responsible AI capabilities within the Internal Audit & Compliance function at OMNIYAT Group, enabling a shift from traditional sample-based testing toward full-population, continuous assurance across payment, vendor, and leakage risk areas.
About the Role – Analytics-Driven Internal Audit
Core Mandate: Embed data analytics, automation, and responsible AI within Internal Audit & Compliance
Key Deliverables: Exception dashboards, risk-sensing analytics, and automated testing routines
Technology Stack: ACL, Power BI, SQL/Python for analytics and visualization
Strategic Shift: Moving from sample-based testing to full-population, continuous assurance
Collaboration: Works closely with the Director – Internal Audit and Senior Compliance Manager
Career Growth & Emerging Technology Impact
Strategic Location: Dubai – a growing hub for technology-enabled assurance and audit innovation
Frontier Governance Work: Pilot responsible AI use cases and shape governance frameworks
Executive Visibility: Maintain CAO/Chairman insight dashboards with direct senior stakeholder exposure
Career Growth: Bridge audit methodology and data science in a rapidly evolving specialization
Position Overview
This Audit Analytics & AI Auditor role designs, builds, and maintains exception dashboards, risk-sensing analytics, and automated testing routines that strengthen the Group’s ability to detect payment, vendor, and leakage risks in real time. You will pilot responsible AI use cases with sound governance, provide data extraction and analysis support to audit engagements, maintain CAO/Chairman insight dashboards, and deliver training on analytics tools to Internal Audit and Compliance colleagues.
Why This Role Matters: As Audit Analytics & AI Auditor, you drive the function’s shift from traditional sample-based testing to full-population, continuous assurance, build exception dashboards and risk-sensing analytics that detect payment and vendor risks in real time, pilot responsible AI use cases and shape governance frameworks for their use, gain direct visibility with senior stakeholders through executive insight dashboards, and build rare, in-demand expertise bridging audit methodology and applied data science.
Key Responsibilities
Analytics-Enabled Audit Routines
- Build, test, and maintain analytics-enabled audit routines, exception dashboards, and continuous monitoring scripts
- Develop and refine risk-sensing analytics covering payments, vendor activity, procurement, and leakage indicators
Automation & Data Pipeline Management
- Automate recurring audit and compliance tests, maintaining and troubleshooting underlying data pipelines
- Provide data extraction, cleansing, reconciliation, and analysis support across audit engagements
Responsible AI Piloting & Governance
- Run responsible AI pilots within the function, documenting use cases, outcomes, and governance considerations
- Support the Director – Internal Audit in profiling emerging technology, data, and AI-related risks
Dashboards & Stakeholder Reporting
- Maintain and enhance CAO/Chairman insight dashboards, ensuring accuracy and timely refresh
- Present analytics insights and audit findings clearly to non-technical stakeholders, including senior management
Collaboration, Training & Continuous Improvement
- Partner with Assistant Managers and Auditors to design and execute analytics-based testing
- Coordinate with IT & Digital Security on secure data access and system integrations
- Deliver training and knowledge-sharing sessions on analytics tools and dashboard interpretation
- Monitor emerging analytics, automation, and AI tools, recommending enhancements to the roadmap
Qualifications & Requirements
Educational Requirements
- Bachelor’s degree in Data Science, Information Technology, Computer Science, Accounting, or a related field
- A data analytics or audit technology certification is an advantage
Experience Requirements
- 5+ years of experience in audit analytics, data analytics, or technology-enabled assurance
Technical Skills
- Data analytics and visualization platforms (ACL, Power BI, SQL/Python)
- Design of exception dashboards and continuous monitoring routines
- Risk-sensing analytics covering payments, vendor activity, and leakage indicators
- Test automation for recurring audit and compliance procedures
- Data extraction, cleansing, and reconciliation across ERP and business systems
Essential Skills
- Responsible AI piloting, documentation, and governance experience
- Strong ability to present analytics insight to non-technical stakeholders
About This OMNIYAT Group Opportunity
This role sits within OMNIYAT Group’s Internal Audit & Compliance function, working closely with the Director – Internal Audit and Senior Compliance Manager to embed analytics, automation, and responsible AI into audit engagements. The position offers strong career growth for professionals who want to specialize in the fast-evolving intersection of audit methodology, data science, and applied AI governance.
Career Excellence: Lead the shift to continuous, technology-enabled assurance within a forward-thinking Internal Audit & Compliance function.
Who Should Apply?
- Audit Analytics Professionals: With 5+ years in data-driven internal audit or assurance roles
- Data Scientists/Analysts: Interested in applying analytics to risk detection and governance
- Power BI/SQL/Python Specialists: Experienced building dashboards and automated testing routines
- Responsible AI Practitioners: Comfortable piloting AI use cases with strong governance discipline
- Compliance & Risk Professionals: Skilled bridging audit methodology with technology-enabled assurance
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