Audit Analytics & AI Auditor

OMNIYAT; Dubai; On-site; AED 180,000 - 320,000; Full time

Job summary

OMNIYAT is seeking an Audit Analytics & AI Auditor in Dubai to embed data analytics, automation and responsible AI within Internal Audit & Compliance. The role shifts from sample-based testing toward full-population, continuous assurance by building dashboards, risk-sensing analytics and automated testing routines that detect payment, vendor and leakage risks in real time.

You will work with senior stakeholders to bridge audit methodology and data science, delivering faster, deeper and more

Qualifications

• Bachelor's degree in data science, IT, CS, accounting or related field; data analytics certification advantageous.
• 5+ years in audit analytics, data analytics or technology-enabled assurance.
• Experience with data analytics and visualization platforms (ACL, Power BI, SQL/Python).
• Design of exception dashboards and continuous monitoring routines.
• Risk-sensing analytics for payments, vendor activity and leakage indicators.
• Test automation for recurring audit and compliance procedures.

Responsibilities

• Build, test and maintain analytics-enabled audit routines, dashboards and continuous monitoring scripts.
• Develop risk-sensing analytics for payments, vendor activity, procurement and leakage indicators.
• Automate recurring audit and compliance tests and maintain data pipelines and scripts.
• Provide data extraction, cleansing, reconciliation and analysis support across audits.
• Run responsible AI pilots, document use cases, outcomes and governance considerations.

Skills

Data analytics

Audit analytics

Risk assessment

Automation

Communication

Stakeholder engagement

Education

Bachelor's degree in related field

Tools

ACL

Power BI

SQL

Python

Job description

The Audit Analytics & AI Auditor is responsible for embedding data analytics, automation and responsible AI capabilities within the Internal Audit & Compliance function, enabling a shift from traditional sample-based testing toward full-population, continuous assurance. The 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, while piloting responsible AI use cases and embedding sound governance over their use. Working closely with the Director – Internal Audit, Senior Compliance Manager and audit engagement teams, the role bridges audit methodology and data science to deliver faster, deeper and more consistent assurance across OMNIYAT Group.

Day-to-Day Tasks:

• Build, test and maintain analytics-enabled audit routines, exception dashboards and continuous monitoring scripts that flag control breaches and anomalies on an ongoing basis
• Develop and refine risk-sensing analytics covering payments, vendor activity, procurement and leakage indicators to support early detection of irregularities
• Automate recurring audit and compliance tests, and maintain, version-control and troubleshoot the underlying data pipelines and scripts
• Provide data extraction, cleansing, reconciliation and analysis support to internal audit, compliance and project audit engagements across the Group
• Run responsible AI pilots within the function, documenting use cases, outcomes, limitations and governance considerations for review by senior stakeholders
• Maintain and enhance CAO/Chairman insight dashboards, ensuring data accuracy, timely refresh and clear presentation of key metrics
• Partner with Assistant Managers and Auditors to design, build and execute analytics-based testing that supports audit engagement objectives
• Coordinate with IT & Digital Security and Enterprise Technology on secure data access, system integrations and change requests affecting analytics tools
• Design data models, algorithms and scripts that support full-population testing across priority risk areas, replacing sample-based approaches where feasible
• Validate the accuracy, completeness and integrity of analytics outputs prior to their use in audit conclusions or management reporting
• Support the Director – Internal Audit in profiling emerging technology, data and AI-related risks across the Group's operations
• Document analytics methodologies, assumptions and logic, and maintain a reusable script and testing library for the function
• Deliver training and knowledge-sharing sessions to Internal Audit and Compliance colleagues on analytics tools, dashboards and interpretation of results
• Present analytics insights, dashboard outputs and audit findings clearly to non-technical stakeholders, including senior management where required
• Monitor emerging data analytics, automation and AI tools and technologies, and recommend enhancements to the function's analytics capability and roadmap

Long Term Projects

• Drive the function's transition to full-population, continuous assurance across priority audit areas.
• Establish a responsible AI governance approach for audit and compliance analytics.
• Expand the exception-dashboard suite to cover additional risk domains group-wide.

Experience and Qualification:

• 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.
• 5+ years of experience in audit analytics, data analytics or technology-enabled assurance.
• Data analytics and visualization platforms (e.g. 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
• Responsible AI piloting, documentation and governance
• Data extraction, cleansing and reconciliation across ERP and business systems
• Presentation of analytics insight to non-technical stakeholders