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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Director Internal Audit- Data, Information & AI Infrastructure Management - **Company:** United Services Automobile Association - **Location:** San Antonio, TX, United States - **Experience:** Experienced - **Salary:** $143,320.0 - $273,930.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Big Data, Control Objectives for Information and Related Technology (COBIT), Cyber Security, Information Systems, Data Governance, Data Integrity, Data Structures, Data Warehousing, Information Management, Information Systems Security Architecture Professional, Python (Programming Language), Open Web Application Security, PCI Data Security Standards, Power BI, SQL Databases, Data Streaming, Tableau (Software), AI Infrastructure, Cloud Platform System, Snowflake, Generative AI, National Institute of Standards and Technology Cybersecurity Framework, Data Lakes, AI Platforms, Information Technology, Data Lineage, Data Analytics, Data Management, CIS Benchmarks, Artificial Intelligence Governance, Alteryx, Databricks - **Published:** October 7, 2026 - **Apply:** https://usaa.wd1.myworkdayjobs.com/USAAJOBSWD/job/Charlotte-NC---CENTS/Director-Internal-Audit---Data--Information---AI-Infrastructure-Management_R0121167/apply ## About the Role * Bachelor's degree; OR 4 years of relevant education and/or experience. * 10+ years of progressive experience in Internal Audit, Data Governance, Data Management, Technology Risk, Information Technology, Risk Management, Financial Services, AI Governance, Reporting Assurance, or related disciplines. * 3 years of direct team lead or management experience leading and directing work with both internal and external partners in a highly collaborative environment. * 5 years' audit experience in the technology or information security areas with proven progressive and expanded responsibility. * Experience performing internal audits, external audits, or applying audit, risk, or compliance acumen in a complex operational and regulatory environment. * Experience directly leading or managing work of both internal and external partners. * Broad and comprehensive experience in Audit theory, internal audit principles with demonstrated experience in audit examining, analyzing, assessing, and drawing conclusions from audit work. * Demonstrated experience effectively communicating and challenging Controls with business partners and influencing business outcomes. * Demonstrated critical thinking and knowledge of data analysis tools and techniques and decision-making abilities. * Demonstrated experience in highly dynamic environment and ability to deal with competing priorities. * Specific industry frameworks and standards knowledge required includes COBIT, NIST 800-53, NIST CSF, CRI Profile, OWASP, STIGs, CIS Benchmarks, ISO 27001/2, SOC 2, PCI DSS, ITIL, and FFIEC booklets (e.g., information security, business continuity, etc.). Additionally, experience with compliance requirements including GDPR, GLBA, and CCPA. What Sets You Apart: * Deep expertise in one or more of the following areas: Data Governance, Data Management, Data Quality, Data Lineage, Data Risk Management, Reporting Assurance, Information Integrity, AI Governance, Technology Risk, or Internal Audit. * Experience auditing or assessing data governance frameworks, critical data element programs, reporting processes, or large-scale data transformation initiatives. * Strong understanding of AI governance principles, Generative AI technologies, AI infrastructure, advanced analytics platforms, and emerging industry expectations. * Experience evaluating controls supporting AI platforms, cloud environments, data lakes, data warehouses, vector databases, knowledge repositories, and AI-enabled business capabilities. * Ability to assess the governance, quality, security, lineage, traceability, and integrity of information used in business processes, reporting, analytics, and AI solutions. * Demonstrated success partnering across business, financial, operational, compliance, technology, cybersecurity, infrastructure, and audit functions to deliver integrated assurance. * Ability to connect business processes, technology platforms, data, reporting processes, and AI capabilities to deliver holistic risk insights. * Experience using tools such as SQL, Python, Alteryx, Power BI, Tableau, Snowflake, Databricks, or similar technologies to support assurance, analytics, and risk assessment activities. Preferred Relevant IT, Data, AI, and/or Risk related Certifications: * Certified Information Systems Auditor (CISA) * Certified Data Management Professional (CDMP) * Certified in Risk and Information Systems Control (CRISC) * Certified Information Security Manager (CISM) * Certified Information Systems Security Professional (CISSP) * Artificial Intelligence Governance Professional (AIGP) or comparable AI governance certification * Certified Internal Auditor (CIA) * Certified Public Accountant (CPA) * Other relevant audit, risk management, data management, cybersecurity, AI, or technology certifications ## Description At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Director Internal Audit- Data, Information & AI Infrastructure Management, you will provide strategic leadership and independent assurance over enterprise data governance, reporting integrity, and AI-enabled technologies. You will serve as Internal Audit's lead subject matter expert for data, information, and AI technology-related risks, developing and executing a risk-based audit strategy that evaluates the effectiveness of governance, controls, risk management practices, and accountability across data, reporting, and AI environments. Partnering closely with business, technology, cybersecurity, risk, compliance, finance, and enterprise data teams, you will assess emerging risks, strengthen organizational risk management, and deliver integrated assurance across critical business processes and technology platforms. Additionally, you will drive innovation in audit practices through data analytics, automation, continuous monitoring, and technology-enabled assurance techniques, helping shape the future of Internal Audit's oversight of data, reporting, and AI capabilities during a period of significant technological transformation. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX and Charlotte, NC. What you'll do: Data, AI & Reporting Audit Strategy * Develop and execute the audit strategy and risk-based audit plan covering data governance, reporting, AI technologies, and supporting infrastructure. * Serve as Audit Services' subject matter expert for data, reporting, and AI technology-related risks. * Lead complex audits, risk assessments, and advisory engagements. * Monitor emerging risks, industry trends, and regulatory developments impacting data, information management, and AI. Data Governance & Risk Assurance * Evaluate the effectiveness of data governance, quality, stewardship, lineage, and lifecycle management practices. * Assess governance frameworks, policies, standards, accountability structures, and controls that support reliable, secure, and accurate information. * Review end-to-end data flows, including sourcing, transformation, aggregation, reconciliation, and reporting processes. * Provide assurance over data integrity and information used in operational, financial, regulatory, risk management, and AI-enabled processes. * Assess the organization's ability to identify, manage, and remediate data, reporting, and AI technology-related risks. * Evaluate risks associated with manual processes, end-user computing tools, and undocumented data transformations. AI Technology-Related Controls * Provide independent assurance over governance, risk management, and controls supporting AI technology and Generative AI capabilities. * Assess controls supporting AI infrastructure, cloud environments, data platforms, and related technologies. * Evaluate security, privacy, resiliency, compliance, and data integrity controls supporting AI-enabled solutions. * Review management's approach to governing and monitoring AI technology-related risks. Integrated Audit Leadership & Collaboration * Partner across business, technology, cybersecurity, compliance, finance, risk, and data functions to deliver integrated assurance. * Support audit teams in evaluating data dependencies, reporting controls, and AI technology-related risks. * Promote consistent audit methodologies and identify systemic risks across businesses, processes, and technologies. * Establish end-to-end assurance by connecting business, technology, data, reporting, and AI controls.