Staff Connect SAUDI
Senior Executive Manager
Jeddah, Saudi ArabiaPosted 1 weeks ago
- Salary
- AED 12k–18k a month· est.
- Job type
- Full time
- Level
- Lead
- Field
- Data & Analytics
- Work mode
- On site
About the role
Job Title: Senior Executive Manager Job Location: Jeddah, Saudi Arabia 1. Job Purpose The Internal Senior Executive Manager is a key managerial role reporting to a Director-level leader within the Internal Audit Department. The role leads and executes Audit Excellence, Continuous Auditing, and Data Analytics initiatives, supporting the transformation of Internal Audit through advanced analytics, automation, continuous monitoring, and data-driven assurance. The position requires strong hands-on expertise in SAS and the ability to analyze large and complex datasets, alongside a sound understanding of business processes, risk, controls, and assurance concepts. Prior Internal Audit experience is not mandatory; relevant experience may come from Enterprise Risk, Compliance, Fraud, Finance, Actuarial, Model Risk/Monitoring, Data Analytics, or other control- and assurance-related functions. The role holder is expected to translate complex business and risk requirements into executable analytical solutions, lead initiatives end to end, critically assess results, identify meaningful risk insights, and communicate outcomes effectively to Internal Audit management and senior stakeholders. 2. Key Responsibilities Lead end-to-end 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. Develop analytical testing methodologies that support full-population testing and continuous or recurring monitoring, where appropriate. Evaluate analytical results, investigate exceptions, perform root-cause analysis, and distinguish genuine risk or control issues from data-quality or process-related exceptions. Provide analytical support and constructive challenge to Internal Audit engagements, helping audit teams identify higher-risk populations and improve audit coverage. Engage with Business, IT, Risk, and Audit stakeholders to understand processes, establish data requirements, validate results, and communicate key insights. Prepare and present clear, concise, and actionable analytical reports and insights for 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 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. Coach and support junior team members in SAS, analytical techniques, risk-based thinking, data interpretation, and analytics execution. Contribute to the development of the Internal Audit function through strategy, methodology, reporting, training, digital transformation, and maturity enhancement. Support the Internal Audit functions of Audit Operations and Audit Excellence. 3. Job Requirements Academic Qualifications Minimum: Bachelor’s degree in Data Analytics, Computer Science, Finance, Accounting, Statistics, or a related field. Preferred: Master’s degree in a relevant analytical, business, risk, or technology field. Professional Experience Minimum: Approximately 8 years of relevant experience in data analytics, enterprise risk, assurance, financial analytics, model monitoring, or similar functions. Preferred: Experience in a regulated industry or complex organizational environment, including leading analytics or assurance initiatives. Data Analytics and Technical Skills Minimum: Advanced hands-on experience with SAS Enterprise or SAS Viya, including demonstrated ability to analyze large and complex datasets and independently develop analytical solutions. Preferred: Experience with SQL, Power BI, Python, data visualization, automation, or other advanced analytics tools. Risk, Controls, and Assurance Minimum: Strong understanding of risk, controls, testing, monitoring, and assurance concepts. Preferred: Experience designing risk-based analytics, continuous monitoring, model monitoring, or data-driven assurance. Leadership and Execution Demonstrated ability to independently lead and execute complex analytical initiatives and engage effectively with multiple stakeholders. Language Proficiency English: Proficient. Arabic: Proficient. Professional Certifications Relevant professional certifications are an advantage, such as CISA, CMA, CPA, CRMA, or other related certifications. 4. Key Competencies Advanced analytical thinking and problem-solving Risk-based thinking and control assessment Attention to detail and analytical quality assurance Stakeholder engagement and communication Leadership, coaching, and collaboration Continuous improvement, automation, and innovation
Requirements
- Minimum: Approximately 8 years of relevant experience in data analytics, enterprise risk, assurance, financial analytics, model monitoring, or similar functions.
- Preferred: Experience in a regulated industry or complex organizational environment, including leading analytics or assurance initiatives.
- Minimum: Advanced hands-on experience with SAS Enterprise or SAS Viya, including demonstrated ability to analyze large and complex datasets and independently develop analytical solutions.
- Preferred: Experience with SQL, Power BI, Python, data visualization, automation, or other advanced analytics tools.
- Minimum: Strong understanding of risk, controls, testing, monitoring, and assurance concepts.
- Preferred: Experience designing risk-based analytics, continuous monitoring, model monitoring, or data-driven assurance.
- Demonstrated ability to independently lead and execute complex analytical initiatives and engage effectively with multiple stakeholders.
Responsibilities
- Lead end-to-end 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.
- Develop analytical testing methodologies that support full-population testing and continuous or recurring monitoring, where appropriate.
- Evaluate analytical results, investigate exceptions, perform root-cause analysis, and distinguish genuine risk or control issues from data-quality or process-related exceptions.
- Provide analytical support and constructive challenge to Internal Audit engagements, helping audit teams identify higher-risk populations and improve audit coverage.
- Engage with Business, IT, Risk, and Audit stakeholders to understand processes, establish data requirements, validate results, and communicate key insights.
- Prepare and present clear, concise, and actionable analytical reports and insights for 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 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.
- Coach and support junior team members in SAS, analytical techniques, risk-based thinking, data interpretation, and analytics execution.
- Contribute to the development of the Internal Audit function through strategy, methodology, reporting, training, digital transformation, and maturity enhancement.
- Support the Internal Audit functions of Audit Operations and Audit Excellence.
Skills
- SAS Enterprise
- SAS Viya
- SQL
- Power BI
- Python
- data visualization
- automation
- continuous auditing
- data analytics
- risk assessment
- auditing
- monitoring
- analytical testing
- root-cause analysis
- stakeholder engagement
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