Data Analytics Manager Ethics/Compliance

ManTech is seeking a Data Analytics Manager Ethics/Compliance to play a critical role in the Compliance and Internal Audit teams’ ability to analyze large volumes of data more efficiently, identify patterns and anomalies, and gain deep insight into key processes and controls. This role will collaborate across the teams to ensure data-driven approaches are integrated into internal audits, compliance assessments, and fraud investigations. While this position does not supervise staff, it requires a high degree of technical expertise and a solid understanding of internal audit principles to optimize outcomes. This is a remote position. Responsibilities to include but not limited to: Collaborate with the internal audit team to design and implement data analytics strategies for audit engagements. Extract, process, and analyze large datasets to identify trends, anomalies, and potential areas of risk. Develop and execute data-driven audit tests and procedures to assess the effectiveness of internal controls. Partner with stakeholders across the organization to ensure data integrity and consistency in audit-related activities so that data analysis results are complete, timely and accurate. Provide real-time, actionable insights to compliance and investigation teams through data visualization and reporting tools. Create automated data analysis routines to support continuous auditing and monitoring initiatives. Prepare and present data analysis findings and recommendations to senior leadership. Assist in the development of dashboards and data analytics tools to enhance audit and risk assessment processes. Stay informed of emerging trends in data analytics, fraud detection techniques, and audit technologies. Integrate new insights into the audit, monitoring, and investigation processes. Basic Qualifications: Bachelor’s degree in Data Analytics, Computer Science, Accounting, Finance, or a related field. 7 years of experience in data analytics, with a focus on internal audit, compliance, or fraud investigation. Proficiency in data analytics tools such as SQL, ACL/Diligent, or IDEA. Strong experience with data visualization platforms such as Power BI, Tableau, or similar. Thorough understanding and experience with application of advanced data analytics using data lakes and data warehouses. In-depth knowledge of internal audit standards, risk management practices, compliance frameworks, and fraud detection methodologies. Excellent communication and presentation skills, with the ability to translate complex data findings into actionable insights for leadership at all levels and non-technical stakeholders. Ability to work independently and manage multiple priorities. Preferred Qualifications Advanced degree in Data Science, Finance, or related discipline. Certifications such as Certified Internal Auditor (CIA), Certified Information Systems Auditor (CISA), or Certified Analytics Professional (CAP). Experience with continuous auditing methodologies. Experience with machine learning models and predictive analytics for risk assessment and fraud detection. Physical Requirements: Must be able to remain in a stationary position 50% Constantly operates a computer Frequently communicates with co-workers, management and customers, which may involve delivering presentations Must be able to exchange accurate information in these situation