Senior Executive Manager

The Senior Executive Manager is a key managerial role reporting to a Director Level within the Internal Audit Department, responsible for leading and executing Audit Excellence, Continuous Auditing, and Data Analytics initiatives. The incumbent supports the transformation of Internal Audit through advanced analytics, automation, continuous monitoring, and data-driven assurance. The role requires strong hands-on experience in SAS and the analysis of large and complex datasets, combined with a strong understanding of business processes, risk, controls, and assurance concepts. Prior Internal Audit experience is not mandatory; relevant experience may be gained through Enterprise Risk, Compliance, Fraud, Finance, Actuarial, Model Risk/Monitoring, Data Analytics, or other control and assurance-related functions. The incumbent is expected to independently translate complex business and risk requirements into executable analytical solutions, lead end-to-end analytics initiatives, challenge results, identify meaningful risk insights, and communicate outcomes effectively to Internal Audit management and senior stakeholders. Key Activities/Responsibilities Lead and execute continuous auditing and data analytics initiatives from planning and requirements gathering through data extraction, testing, analysis, reporting, and closure. Design and develop data-driven audit and monitoring methodologies to identify emerging risks, control weaknesses, anomalies, trends, and exceptions. Independently extract, reconcile, and analyze large and complex datasets using SAS and other relevant analytical tools. Translate business processes, risk scenarios, policies, and control requirements into robust analytical logic and executable testing procedures. Lead the development of analytical testing methodologies that enable full-population testing and continuous or recurring monitoring, where appropriate. Evaluate analytical results, investigate exceptions, perform root-cause analysis, and distinguish genuine risk/control issues from data-quality or process-related exceptions. Provide analytical support and challenge to Internal Audit engagements, helping audit teams identify higher-risk populations and enhance audit coverage. Lead discussions with business, IT, Risk, and Audit stakeholders to understand processes, identify data requirements, validate results, and communicate key insights. Prepare and present clear, concise, and actionable analytical insights and reports to Internal Audit management and senior stakeholders. Lead the development and enhancement of continuous auditing tools, automated analytics, dashboards, methodologies, and reporting capabilities. Ensure analytical solutions are appropriately documented, validated, repeatable, and supported by appropriate governance and quality controls. Identify opportunities to improve Internal Audit efficiency and coverage through automation, analytics, system integration, and innovative audit techniques. Support and coach junior team members in SAS, analytical techniques, risk-based thinking, data interpretation, and execution of analytics initiatives. Contribute to the broader development of the Internal Audit function, including strategy, methodology, reporting, training, digital transformation, and maturity enhancement. Supporting the Internal Audit Functions: Audit Operation and Audit Excellence. Academic Qualifications: Bachelor’s degree in Data Analytics, Computer Science, Finance, Accounting, Statistics, or any other related field. Minimum of ~8 years of relevant experience in data analytics, enterprise risk, assurance, financial analytics, model monitoring or similar functions. Professional Certifications: Advanced hands-on SAS enterprise/viya experience with demonstrated experience analyzing large and complex datasets and developing analytical solutions independently Strong understanding of risk, controls, testing, monitoring, and assurance concepts. Demonstrated ability to independently lead and execute complex analytical initiatives and engage with multiple stakeholders Show more Show less