SoFi

Manager, Internal Audit – AI Strategy & Innovation

SoFi

full-time

Posted on:

Location Type: Remote

Location: Remote • Utah • 🇺🇸 United States

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Salary

💰 $105,600 - $198,000 per year

Job Level

SeniorLead

Tech Stack

CloudPythonSQL

About the role

  • Define AI Strategy & Methodology: Develop, socialize, and govern a forward-looking AI methodology and framework to guide the Internal Audit department's adoption and responsible use of AI.
  • Identify Opportunities Across the Audit Lifecycle: Proactively identify and prioritize high-impact AI opportunities across the entire audit lifecycle (e.g., risk assessment, planning, testing, reporting, follow-up, and continuous auditing).
  • Feasibility & Working Group Alignment: Determine the technical and business feasibility of AI use cases and present them to the organization's AI Working Group for approval and resource allocation.
  • Responsible AI Governance (SME Role): Act as the department's Subject Matter Expert (SME) on auditing the organization's enterprise-wide AI systems, ensuring adherence to regulatory, ethical, and responsible AI governance standards.
  • Develop & Measure Pilots: Develop AI pilot programs across various stages of the audit lifecycle, and rigorously measure their effectiveness and efficiency gains to justify scaling.
  • Partner with other relevant teams within the organization to understand practical AI applications and determine potential synergies.
  • Continuous Monitoring/Auditing & Automation: Partner with the Data Analytics team to strategically determine and implement use cases for audit fieldwork execution, continuous monitoring, continuous auditing, and automation, moving the department toward real-time assurance.
  • Professional Practices Group Collaboration (PPG): partner with PPG to optimize technology enablement opportunities using core tools (e.g. AuditBoard).
  • IT Audit Collaboration: Partner closely with Internal Audit's IT Audit team to integrate AI assurance procedures into the IT audit plan and evaluate the integrity of the underlying AI infrastructure and controls.
  • Vendor Management: Partner with and manage third-party vendor relationships related to AI tooling, ensuring solutions meet technical requirements, security protocols, and strategic objectives.
  • End-to-End Deployment: Oversee the full deployment lifecycle of AI tools, ensuring successful technical implementation, data integration, security, and sustained maintenance.
  • Develop and Deliver Training: Develop and deliver comprehensive training materials and programs to upskill all audit personnel on AI concepts, data literacy, and the practical application of new AI tools.
  • Technical Coaching: Provide dedicated, hands-on coaching and technical mentorship to drive the practical adoption of new technologies within audit teams.

Requirements

  • Deep AI & Technical Acumen: Must have a strong understanding of current AI tools, machine learning concepts (e.g., supervised, unsupervised, deep learning), and the technical requirements for deploying models in a production environment.
  • Data Analytics Proficiency: Strong command of data analytics tools and techniques (Python, R, SQL, cloud environments) for data extraction, transformation, analysis, and visualization.
  • Audit Risk Frameworks: Exceptional knowledge of Internal Audit standards (IIA), risk management (COSO), and control design, specifically as they relate to automated controls and algorithmic decision-making.
  • Communication & Leadership: Proven ability to translate highly technical AI concepts and risks into clear, actionable, and value-driven insights for executive leadership and non-technical stakeholders.
  • Project Management: Demonstrated experience leading complex, cross-functional technology projects, managing timelines, budgets, and stakeholder expectations.
  • Education: Bachelor’s degree in Computer Science, Data Science, Information Technology, Accounting, Finance, or a related quantitative field. A Master’s degree is a strong plus.
  • Experience: Minimum 7+ years of progressive experience in Internal Audit, IT Audit, Risk Consulting, or a specialized data/AI role within a regulated industry.
  • Minimum 3+ years of direct experience in developing, deploying, and managing data analytics, AI, or automation projects.
  • Must have demonstrated success in deploying AI tools to solve complex business problems.
  • Certifications: Professional certification is required (e.g., CIA, CISA, CPA). Specialized AI/Data Science certification is highly desirable.
Benefits
  • This role is also eligible for a bonus, long term incentives and competitive benefits.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
AI methodologymachine learningdata analyticsPythonRSQLcloud environmentsautomated controlsalgorithmic decision-makingdata integration
Soft skills
communicationleadershipproject managementtechnical coachingcollaborationmentorshipstakeholder managementproblem-solvingtraining developmentstrategic thinking
Certifications
CIACISACPAAI/Data Science certification