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Responsibilities
Shape the Internal Audit strategy and roadmap using data-driven insights. Conduct annual risk assessments, leveraging data to drive risk-based audit planning. Integrate data analytics into all audit phases, including planning, fieldwork, reporting, and continuous monitoring. Design and maintain continuous auditing and data analytics methodologies to automate control testing. Work with the Global Internal Audit team on data-driven audit initiatives, ensuring consistent adoption at USDS. Maintain an inventory of applications, databases, and data warehouses to support audits. Proficiency in SQL for querying and analyzing large datasets to identify risks and trends relevant to audits. Collaborate with cross-functional teams (IT, Security, Compliance, Finance, Engineering) to ensure data governance and regulatory compliance. Oversee future in-house audit data analytics hires and support team development. Prepare and review audit workpapers from in-house and third-party audit consultants. Stay updated on industry trends, emerging data analytics tools, AI, and automation technologies. Adapt to the evolving needs of the IA function — additional responsibilities may be assigned. Qualifications
Minimum Qualifications: 5+ years of audit experience in technology, Big 4, or regulated industries. Bachelor’s degree or higher in Data Science, Computer Science, Information Systems, Accounting, Finance, or related fields. Proficiency in data analytics tools (SQL, Python, R, Power BI, Tableau, Qlik Sense). Experience with large datasets, data warehouses, and cloud platforms (Snowflake, AWS, Google Cloud, Azure). Proven ability to manage in-house teams, oversee third-party audit partners, and lead complex audits. Strong data analysis and visualization skills; knowledge of internal controls, audit methodologies, and compliance. Willingness to travel domestically and internationally. Preferred Qualifications: Professional certifications such as CISA, CIA, CPA, AWS Certified Data Analyst, Google Data Analytics Professional Certificate, or similar. Experience in statistical programming (R, Python, MATLAB) and data visualization tools (e.g., Mode Analytics, Tableau, Qlikview). Experience in FinTech, Financial Services, Retail, SaaS, or technology industries. Excellent communication, interpersonal, and written skills.
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Shape the Internal Audit strategy and roadmap using data-driven insights. Conduct annual risk assessments, leveraging data to drive risk-based audit planning. Integrate data analytics into all audit phases, including planning, fieldwork, reporting, and continuous monitoring. Design and maintain continuous auditing and data analytics methodologies to automate control testing. Work with the Global Internal Audit team on data-driven audit initiatives, ensuring consistent adoption at USDS. Maintain an inventory of applications, databases, and data warehouses to support audits. Proficiency in SQL for querying and analyzing large datasets to identify risks and trends relevant to audits. Collaborate with cross-functional teams (IT, Security, Compliance, Finance, Engineering) to ensure data governance and regulatory compliance. Oversee future in-house audit data analytics hires and support team development. Prepare and review audit workpapers from in-house and third-party audit consultants. Stay updated on industry trends, emerging data analytics tools, AI, and automation technologies. Adapt to the evolving needs of the IA function — additional responsibilities may be assigned. Qualifications
Minimum Qualifications: 5+ years of audit experience in technology, Big 4, or regulated industries. Bachelor’s degree or higher in Data Science, Computer Science, Information Systems, Accounting, Finance, or related fields. Proficiency in data analytics tools (SQL, Python, R, Power BI, Tableau, Qlik Sense). Experience with large datasets, data warehouses, and cloud platforms (Snowflake, AWS, Google Cloud, Azure). Proven ability to manage in-house teams, oversee third-party audit partners, and lead complex audits. Strong data analysis and visualization skills; knowledge of internal controls, audit methodologies, and compliance. Willingness to travel domestically and internationally. Preferred Qualifications: Professional certifications such as CISA, CIA, CPA, AWS Certified Data Analyst, Google Data Analytics Professional Certificate, or similar. Experience in statistical programming (R, Python, MATLAB) and data visualization tools (e.g., Mode Analytics, Tableau, Qlikview). Experience in FinTech, Financial Services, Retail, SaaS, or technology industries. Excellent communication, interpersonal, and written skills.
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