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Fast-Track Career Advancement Opportunity (This position is expected to advance quickly within the company over the next few months.)
Job Responsibility:
Lead the Internal Audit data analytics function, serving as the primary point of expertise for data analytics, automation, AI-enabled solutions, and continuous auditing within the department
Apply a data-driven mindset to build, enhance, and execute Internal Audit data solutions that deliver advanced audit capabilities, including automation, continuous auditing, and data analytics
Lead and oversee data analytics initiatives supporting audit, SOX, and risk projects, leveraging advanced analytical techniques to enhance audit procedures, expand coverage, and identify risks
Design and execute data-driven testing of key controls across in-scope processes, systems, and programs, elevating levels of assurance, consistency, and audit efficiency
Develop and implement AI-enabled and advanced analytics solutions using available tools to support audit teams and audit operations
Drive automation across audit, SOX, and risk activities, unlocking efficiencies and improving the quality and scalability of testing and analysis
Develop and enhance continuous auditing capabilities, including dashboards and monitoring solutions that provide timely control and business insights to support management action
Serve as a data champion within Internal Audit by elevating awareness of appropriate, effective, and responsible uses of data in assurance and advisory work
Collaborate closely with audit teams to integrate analytics into audit planning, execution, and reporting activities
Build and maintain strong relationships with key data leaders, system owners, and data custodians to enable timely and reliable access to data required for audit and risk initiatives
Leverage enterprise systems such as Workday, JD Edwards (JDE), Salesforce, and other core platforms as key data sources to support audit analytics, continuous auditing, and data-driven control testing
Use existing data sources and structures to provide more quantitative, evidence-based assessments of key risks, controls, and audit conclusions
Requirements:
5+ years of progressively responsible experience applying advanced data analytics, automation, and data-driven control testing within Internal Audit, SOX, compliance, and/or enterprise risk environments
Bachelor’s degree or equivalent in Computer Science, Data Science, Management Information Systems, Accounting, Finance, or a related field
Proven track record of delivering audit and risk solutions through the application of data analytics, scripting, and programming skills (e.g., Python, R, SQL) and relevant analytics platforms
Strong experience across the full data analytics lifecycle, including data acquisition, cleansing, transformation, analysis, and reporting
Experience designing and delivering continuous auditing capabilities, dashboards, and monitoring solutions that provide reliable, timely performance metrics and actionable insights
Experience working with enterprise platforms such as Workday, JD Edwards (JDE), Salesforce, and similar systems, including extracting, analyzing, and validating data for audit and risk purposes