Senior Executive Manager – Audit Analytics

For one of our clients, we are looking for a Senior Executive Manager to lead data analytics and continuous auditing initiatives within the Internal Audit function. This role will help transform audit delivery through advanced analytics, automation, and data-driven assurance. Key Responsibilities • Lead end-to-end continuous auditing and data analytics initiatives, from requirements gathering and data extraction through testing, analysis, reporting, and closure. • Develop analytical methodologies to identify emerging risks, control weaknesses, anomalies, trends, and exceptions. • Use SAS to independently extract, reconcile, and analyze large, complex datasets. • Translate business processes, risk scenarios, policies, and controls into analytical logic and testing procedures. • Investigate exceptions, conduct root-cause analysis, and distinguish genuine control issues from data-quality or process-related matters. • Support audit engagements by identifying higher-risk populations and strengthening audit coverage. • Engage with business, IT, Risk, and Audit stakeholders to understand processes, validate findings, and communicate insights. • Enhance continuous auditing tools, automated analytics, dashboards, and reporting capabilities. • Ensure analytical solutions are documented, validated, repeatable, and supported by appropriate governance and quality controls. • Coach junior team members and contribute to the development of the Internal Audit function. Requirements • Bachelor’s degree in Data Analytics, Computer Science, Finance, Accounting, Statistics, or a related field. • Around 8 years of relevant experience in data analytics, enterprise risk, assurance, financial analytics, model monitoring, or a similar area. • Advanced, hands-on experience with SAS Enterprise and/or SAS Viya, including independent analysis of large, complex datasets. • Strong understanding of risk, controls, testing, monitoring, and assurance concepts. • Proven ability to lead complex analytical initiatives and work effectively with multiple stakeholders. • Proficiency in English and Arabic. • Experience in a regulated or complex organization is preferred. • Knowledge of SQL, Power BI, Python, data visualization, or automation is an advantage. • A relevant master’s degree or professional certification (such as CISA, CMA, CPA, or CRMA) is an advantage.