OMNIYAT Group — one of Dubai’s most prestigious real estate and development organizations — is hiring an Audit Analytics & AI Auditor to join its Internal Audit & Compliance function in Dubai, UAE. This is a specialist, technically sophisticated role responsible for embedding data analytics, automation, and responsible AI capabilities within the Group’s internal audit function — driving a decisive shift from traditional sample-based testing toward full-population, continuous assurance. Using ACL, Power BI, SQL, and Python, you will design, build, and maintain exception dashboards, risk-sensing analytics covering payments, vendor activity and leakage indicators, and automated audit testing routines that protect OMNIYAT Group through real-time risk detection.
About OMNIYAT Group — Dubai’s Prestige Real Estate & Development Leader
Company: OMNIYAT Group — Premium Luxury Real Estate & Integrated Development, Dubai
Function: Internal Audit & Compliance — Audit Analytics & AI Capability
Reporting: Director – Internal Audit · Senior Compliance Manager · Senior Stakeholders
Scope: Group-wide analytics across payments, vendor activity, procurement, leakage, and compliance
Vision: Transition from sample-based to full-population, continuous assurance across all audit domains
Why This OMNIYAT Audit Analytics Role Is a Defining Dubai Career Opportunity
Pioneer Role: Build and own the audit analytics function from a position of real technical authority — shaping the Group’s entire approach to data-driven assurance
Responsible AI Leadership: Pilot and govern responsible AI use cases within audit — a rare opportunity to lead emerging AI governance in a senior assurance context
CAO/Chairman Visibility: Maintain insight dashboards reviewed at the very highest level of OMNIYAT Group’s leadership structure
Dubai Tax-Free: Competitive full-time salary in Dubai’s zero personal income tax environment
Position Overview
This Audit Analytics & AI Auditor role at OMNIYAT Group in Dubai bridges audit methodology and data science to deliver faster, deeper, and more consistent assurance across the entire Group. Working alongside the Director of Internal Audit, Senior Compliance Manager, and audit engagement teams, you will build, test, and maintain analytics-enabled audit routines and exception dashboards, develop risk-sensing analytics for payments and vendor activity, automate recurring audit and compliance tests, run responsible AI pilots within the function, maintain CAO and Chairman insight dashboards, coordinate with IT and Enterprise Technology on data access, design full-population testing models, validate analytics outputs before audit conclusions, deliver analytics training to audit colleagues, and monitor emerging AI and data analytics tools to continuously enhance the function’s capability. This is a role where data science expertise and audit intelligence converge into one of the most strategically significant technology-enabled assurance positions in Dubai’s premium real estate sector.
Why This OMNIYAT Audit Analytics & AI Auditor Role Is the Analytics Career of 2026 in Dubai: Audit Analytics professionals who can combine Power BI, SQL, Python, and ACL technical depth with genuine internal audit methodology understanding — and who can pilot responsible AI governance in a real corporate assurance context — represent one of the most rare and commercially valuable specialist profiles in Dubai’s corporate governance and risk management market. OMNIYAT Group’s commitment to continuous assurance, full-population testing, and responsible AI in audit makes this a genuinely forward-thinking role at a recognized premium real estate brand that is setting new standards for technology-enabled audit in the UAE.
Day-to-Day Responsibilities
Analytics-Enabled Audit Routines & Exception Dashboards
- Build, test, and maintain analytics-enabled audit routines, exception dashboards, and continuous monitoring scripts that automatically flag control breaches and anomalies across OMNIYAT Group’s operations — moving the audit function beyond periodic reviews to real-time detection of irregularities
- Design and maintain exception dashboards that provide the Director of Internal Audit and Senior Compliance Manager with continuously updated visibility into payment anomalies, vendor activity risks, procurement irregularities, and leakage indicators across the Group
- Automate recurring audit and compliance tests — designing script-based testing routines that run systematically and consistently, removing manual effort from repetitive procedures and freeing the audit team to focus on complex, judgment-intensive analysis
- Validate the accuracy, completeness, and integrity of all analytics outputs prior to their use in audit conclusions or management reporting — maintaining a rigorous quality assurance standard across every dashboard, routine, and automated test result
Risk-Sensing Analytics — Payments, Vendor & Leakage Detection
- Develop and continuously refine risk-sensing analytics covering payments, vendor activity, procurement processes, and leakage indicators — building early detection capability that identifies irregularities significantly faster than traditional sample-based audit approaches
- Design data models, algorithms, and analytical scripts that support full-population testing across priority risk areas — replacing sample-based testing with comprehensive, data-driven assurance that eliminates sampling risk from the audit conclusion
- Provide data extraction, cleansing, reconciliation, and analysis support to internal audit, compliance, and project audit engagements across the Group — ensuring audit teams have the clean, reconciled data they need to form reliable conclusions
- Coordinate with IT & Digital Security and Enterprise Technology on secure data access, system integrations, and change requests affecting analytics tools — maintaining robust, governed data pipelines that underpin the reliability of all audit analytics outputs
Responsible AI Piloting & Governance
- Run responsible AI pilots within the Internal Audit & Compliance function — identifying suitable audit and compliance use cases for AI application, designing pilot frameworks, executing carefully scoped experiments, and documenting outcomes, limitations, and governance considerations for senior stakeholder review
- Establish and maintain the function’s responsible AI governance approach — documenting the principles, review processes, human oversight requirements, and risk controls that ensure AI-assisted audit outputs are reliable, explainable, and aligned with OMNIYAT Group’s risk appetite
- Support the Director of Internal Audit in profiling emerging technology, data, and AI-related risks across the Group’s operations — translating technology risk intelligence into audit coverage decisions and risk-sensing analytics enhancements
- Monitor emerging data analytics, automation, and AI tools and technologies — recommending evidence-based enhancements to the function’s analytics capability and roadmap based on practical evaluation of new platform capabilities and industry best practice
CAO / Chairman Dashboards & Senior Stakeholder Reporting
- Maintain and continuously enhance CAO and Chairman insight dashboards — ensuring data accuracy, timely refresh, and clear, professionally presented visualization of the key risk, compliance, and assurance metrics that matter most to OMNIYAT Group’s executive leadership
- Present analytics insights, dashboard outputs, and audit findings clearly and confidently to non-technical stakeholders — including senior management and where required the Group’s Chairman — translating complex data analysis into concise, actionable executive narratives
- Deliver structured training and knowledge-sharing sessions to Internal Audit and Compliance colleagues on analytics tools, dashboards, and the correct interpretation of analytical results — building the team’s collective analytical capability and data literacy
Audit Engagement Support & Team Collaboration
- Partner with Assistant Managers and Auditors to design, build, and execute analytics-based testing that directly supports specific audit engagement objectives — ensuring every analytics deliverable is anchored in a clear audit purpose and produces findings that the engagement team can use with confidence
- Document all analytics methodologies, assumptions, transformation logic, and testing results comprehensively — maintaining a reusable, version-controlled script and testing library that preserves institutional knowledge and enables efficient re-use across future audit engagements
- Maintain, version-control, and troubleshoot the underlying data pipelines and scripts that power all audit analytics outputs — ensuring the technical infrastructure of the function is robust, documented, and resilient to system changes or data source updates
Qualifications & Requirements
Educational Requirements
- Bachelor’s degree in Data Science, Information Technology, Computer Science, Accounting, or a closely related analytical or business field
- A data analytics certification (e.g., ACL/Galvanize, Power BI, Python data analytics) or audit technology qualification is a valued additional advantage
Experience Requirements
- 5+ years of professional experience in audit analytics, data analytics, or technology-enabled assurance — with direct, hands-on involvement in exception dashboard design, automated testing, and continuous monitoring implementation
- Demonstrated experience in risk-sensing analytics covering payments, vendor activity, procurement risk, and leakage indicators — particularly within ERP-heavy environments common in real estate, construction, or asset management sectors
- Proven experience designing and building exception dashboards and continuous monitoring routines — not just consuming analytical outputs but engineering the underlying data models, scripts, and visualization layers
- Experience with responsible AI piloting, documentation, and governance — either in an internal audit context or in a broader data science / analytics governance role
Technical Skills
- ACL (Galvanize / Diligent HighBond) — audit data analytics platform proficiency for data extraction, exception testing, and continuous monitoring routine development
- Power BI — advanced dashboard development for exception monitoring, insight reporting, and executive-level stakeholder visualization
- SQL — strong querying, data extraction, transformation, and reconciliation capability across relational databases and ERP data sources
- Python — scripting, automation, and data pipeline development for audit analytics workflows and AI piloting
About OMNIYAT Group & Audit Analytics in Dubai
OMNIYAT Group is one of Dubai’s most recognized and respected premium real estate and integrated development organizations — known for landmark luxury projects that have shaped Dubai’s skyline and set standards for design excellence, commercial ambition, and operational sophistication across the emirate. As OMNIYAT Group continues to grow its portfolio and operational complexity, the Internal Audit & Compliance function’s investment in data analytics, automation, and responsible AI reflects a genuine organizational commitment to world-class corporate governance — building the assurance infrastructure that protects the Group’s financial integrity, vendor relationships, and reputational standing at the highest level. The Audit Analytics & AI Auditor role sits at the center of this ambition — a technically demanding, strategically significant, and professionally prestigious position that gives the right candidate the opportunity to build and lead a genuinely transformative audit analytics capability inside one of Dubai’s most important real estate organizations.
Your Career Growth Path: Audit Analytics AI Auditor → Senior Audit Analytics Manager → Head of Audit Technology & Analytics → Director of Internal Audit → Chief Audit Executive — a rigorous, globally respected, and professionally consequential audit analytics career trajectory built at the center of corporate governance excellence in Dubai’s premium real estate sector.
Who Should Apply?
- Audit Analytics Specialists: With 5+ years of ACL, Power BI, SQL, and Python experience building exception dashboards, continuous monitoring routines, and automated audit testing frameworks
- Technology-Enabled Assurance Professionals: With internal audit backgrounds who have transitioned into data analytics roles and want to lead the full analytics capability of a prestigious Dubai Group
- Data Scientists with Audit / Compliance Exposure: With Python, SQL, and risk analytics experience who want to apply data science skills in the corporate governance and assurance domain
- Responsible AI Governance Professionals: With experience piloting AI in audit or compliance contexts and documenting governance frameworks for senior stakeholder review
- ERP Data Analysts in Real Estate or Construction: With payments, vendor, and procurement analytics experience in complex ERP environments who want a senior audit analytics leadership role
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