Senior Director - Internal Audit - Data Science & AI

Fannie Mae
United States
Workplace: RemoteFull timeFunction: Data Science & Machine LearningExperience: 8+ yearsEducation: bachelorsSkills: ["Leadership","Executive communication","Influencing","Strategic thinking","Adaptability"]

Lead the AI, analytics, automation, and data science vision for Internal Audit. Own the AI/GenAI roadmap across the audit lifecycle, partnering with Technology and enterprise AI groups to architect a unified audit platform with reusable data assets, models, and evidence-generation capabilities. Build and retain a high-performing team, while advising executives on AI value and managing data, model, operational, and ethical risks in a highly regulated environment.

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FursaFursa
Fannie Mae
Fannie Mae
1 week ago

Senior Director - Internal Audit - Data Science & AI

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Source: Company careers pageValidated by: Fursa AI
Last checked: 21 hours agoStatus: Live

Job Summary

Lead the AI, analytics, automation, and data science vision for Internal Audit. Own the AI/GenAI roadmap across the audit lifecycle, partnering with Technology and enterprise AI groups to architect a unified audit platform with reusable data assets, models, and evidence-generation capabilities. Build and retain a high-performing team, while advising executives on AI value and managing data, model, operational, and ethical risks in a highly regulated environment.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Director level

Key Responsibilities

  • •Lead the development and execution of Audit’s AI, analytics, and automation roadmap aligned with Board goals and Audit priorities.
  • •Own the strategy, product roadmap, delivery, and adoption of AI, GenAI, analytics, and automation across the audit lifecycle.
  • •Partner with Technology to architect and scale a unified audit platform with reusable data assets, analytics, automation, GenAI services, model operations, secure delivery, and enterprise-grade controls.
  • •Build and retain talent across data science, AI engineering, product, and automation, while upskilling the existing audit workforce.
  • •Serve as a strategic thought leader to Audit executives and VP+ stakeholders, maximizing AI value while managing data, model, operational, and ethical risks.

Key Requirements

  • •8+ years of relevant experience in data science, AI, analytics, automation, product management, technology delivery, audit technology, or related enterprise technology functions.
  • •5+ years of leadership experience building, coaching, and leading high-performing, diverse teams across data science, AI, automation, product, and technology.
  • •Proven track record delivering enterprise AI, analytics, automation, or data products from strategy through production adoption with measurable outcomes.
  • •Experience leading AI-enabled transformation in Internal Audit, risk, compliance, financial services, or another highly regulated enterprise environment.
  • •Deep expertise in AI/ML, GenAI, automation, advanced analytics, data platforms, cloud technologies, model lifecycle management, and scalable software/product delivery practices.
Experience:8+ yearsFinancial servicesInternal auditRisk managementComplianceRegulated environment
Education:Bachelor's
Skills:LeadershipExecutive communicationInfluencingStrategic thinkingAdaptability
Certifications:Machine Learning certificationCloud AI certificationAI certification
Tech Stack:AIMLGenAILLMsAnalyticsAutomationMicroservicesAPIsData platformsCloud technologiesMLOpsLLMOpsModel monitoringData governanceModel riskResponsible AIRetrieval-augmented generationNLPAnomaly detectionIntelligent agents

Company Brief

Fannie Mae
Fannie Mae is a government-sponsored enterprise that provides liquidity, stability, and affordability to the U.S. mortgage market by guaranteeing and purchasing residential mortgage loans and mortgage-backed securities.
Industry: Lending
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Government & Public Sector
Valuation: Public Company (Market Cap in USD)
Funding: Government Funded
Headquarters: Washington, United States
Founded: 1938
WebsiteLinkedIn