Audit Project Manager-Audit Data Analytics and Automation
Euronet Worldwide, Inc. Leawood, Kansas, United States
Financial Services · 5,001-10,000 employees
About the role
The Audit Project Manager will build and administer an internal audit data analytics program, designing strategies and implementing tools to automate audit processes. They will develop scripts and dashboards to identify risk indicators and provide training to audit staff to enhance data literacy.
What they look for
Requirements
Candidates must have a bachelor's degree and at least 5 years of experience in internal audit or risk management with hands-on data analytics expertise. Proficiency in SQL, Python or R, and data visualization tools like Power BI is required, along with a solid understanding of internal control frameworks.
Benefits
Full description
The Audit Project Manager, Internal Audit Data Analytics & Automation is responsible for building and administering the organization's internal audit data analytics program from the ground up. This role will design the analytics strategy, select and implement tools and methodologies, and establish repeatable processes that embed data-driven techniques into the audit lifecycle, from risk assessment and planning through fieldwork, continuous monitoring, and reporting. Working closely with audit leadership and engagement teams, this individual will develop scripts, dashboards, and automated routines that extract, transform, and analyze data from enterprise systems to identify risk indicators, control exceptions, and process anomalies across the organization's global operations.
Beyond building the program, this role will administer it on an ongoing basis, maintaining analytics infrastructure, managing access and data governance considerations, training audit staff on tools and techniques, and continuously enhancing capabilities to keep pace with the organization's evolving systems and risk landscape. The ideal candidate combines strong technical proficiency in data analytics and automation with a solid understanding of internal audit methodology, internal controls, and risk management, and is comfortable operating with significant autonomy to establish a new capability within the function.
• Design, build, and implement the internal audit function's data analytics and automation program, including strategy, methodology, tool selection, and governance.
• Administer the analytics program on an ongoing basis, including maintaining infrastructure, managing data access and security considerations, and overseeing version control of scripts and models.
• Develop and maintain scripts, queries, and automated workflows (e.g., Python, SQL, ACL/Diligent, Power BI, or similar tools) to extract and analyze data from enterprise systems.
• Partner with audit managers and engagement teams to identify opportunities where analytics and automation can enhance risk assessment, test design, sample selection, and audit execution.
• Build continuous auditing and continuous monitoring routines that flag control exceptions, anomalies, and emerging risk indicators between formal audit cycles.
• Create and maintain interactive dashboards and visualizations that communicate audit results, key risk indicators, and program metrics to audit leadership, the Audit Committee, and the Board.
• Translate business and audit requirements into technical specifications, and validate that analytics outputs are accurate, reliable, and audit-ready (i.e., fully documented and reperformable).
• Train, mentor, and provide hands-on support to audit staff to build broader data analytics literacy and adoption across the department.
• Stay current on emerging analytics, automation, and artificial intelligence tools and techniques relevant to internal audit, and recommend enhancements to the program accordingly.
• Ensure analytics work adheres to data governance, information security, and privacy requirements, in coordination with IT and information security teams.
• Support special projects, investigations, and ad hoc analyses requested by audit leadership, the Audit Committee, or executive management.
• Document methodologies, source data mappings, and analytic routines to ensure continuity, repeatability, and knowledge transfer within the department.
• Bachelor's degree in Accounting, Finance, Information Systems, Data Analytics, Computer Science, or a related field.
• 5+ years of experience in internal audit, risk management, or a related field, with demonstrated handson experience building or supporting data analytics programs.
• Proficiency in data querying and analysis using SQL and at least one scripting/analytics language such as Python or R.
• Experience with data visualization and business intelligence tools such as Power BI, or similar.
• Experience with audit analytics or GRC platforms (e.g., ACL/Diligent) strongly preferred.
• Solid understanding of internal audit methodology, internal control frameworks (e.g., COSO), and risk assessment concepts.
• Ability to work independently to design new processes and capabilities in an environment with limited existing infrastructure.
• Strong communication skills, with the ability to translate technical analytics work into clear insights for non-technical audit and business stakeholders.
• Experience working with large, complex data sets from general ledger, payments, treasury, or other enterprise systems in a global organization preferred.
• Professional certification such as CIA, CISA, CDA, or CPA preferred, or willingness to obtain within an agreed timeframe.
• Prior experience in financial services, payments, or a multinational corporate environment is a plus.
- 401(k) Plan with 6% Match
- Health/Dental/Vision Insurance
- Employee Stock Purchase Plan
- Company-paid Life Insurance
- Company-paid disability insurance
- Tuition Reimbursement
- Paid Time Off
- Paid Volunteer Days
- Paid Holidays
- Tuition Reimbursement
- Casual Office Attire
- Plus many more employee perks & incentives!
We are an Equal Opportunity Employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, or national origin, age, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
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