AI-Driven Audit & Data Science Leader

Fannie Mae; United States; Remote; USD 226,000 - 306,000; Full time

Benefits offered by this job

Relocation assistance

Remote work may be available

Incentive program

Comprehensive benefits

Job summary

Fannie Mae is seeking a Senior Director in Internal Audit – Data Science to lead the AI, analytics, and automation strategy and build scalable, credit-safe data products. You will partner across Audit, Technology, and risk to deliver governance, reusable capabilities, and enterprise AI services.

You will mentor top talent, drive innovation, and influence executives while expanding AI-enabled capabilities across the audit lifecycle and risk reporting.

Qualifications

• 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 of data science, AI, automation, product, and technology professionals.
• Proven track record delivering enterprise AI, analytics, automation, or data products from strategy through production adoption with measurable business 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 partnering with Technology to design and scale platforms, reusable capabilities / microservices, governed data products, APIs, and enterprise-grade AI capabilities.
• Strong understanding of data governance, model risk, responsible AI, and regulatory expectations in financial services or similarly regulated environments.
• Executive-level communication and influencing skills, with the ability to advise executives and VP+ stakeholders, challenge assumptions, and explain technical ideas clearly to non-technical audiences.
• Experience establishing strategies, operating models, talent plans, and performance measures that accelerate delivery, reuse, workforce adoption, and measurable efficiency gains.
• Shows curiosity and adaptability in learning and responsibly applying new technologies, including artificial intelligence, to reimagine how we work.

Responsibilities

• Lead the development and execution of Audit's AI, analytics, and automation roadmap in alignment with Board goals, Audit priorities, and the broader enterprise AI vision.
• Own the strategy, product roadmap, delivery, and adoption of AI, GenAI, analytics, and automation capabilities that produce measurable efficiency, quality, and insight gains across the audit lifecycle.
• Partner with Technology to architect and scale a unified audit platform that enables reusable data assets, analytics, automation, GenAI services, model operations, secure delivery, and enterprise-grade controls.
• Build destination talent by attracting, developing, and retaining high-performing data science, AI engineering, product, and automation professionals while upskilling the existing audit workforce.
• Serve as a strategic thought leader to Audit executives and VP+ stakeholders, challenging the organization to maximize value from AI and advanced analytics while managing data, model, operational, and ethical risks.
• Shape a platform-based approach that reduces time to market, increases reuse, and allows auditors to focus on work requiring professional judgment while AI supports anomaly detection, full-population testing, evidence generation, actionable insights, and control-risk reporting.

Skills

Data science

AI

Leadership

Analytics

Product management

Technology delivery

Executive communication

Audit technology

Education

Bachelor's degree or equivalent in computer science, data science, statistics, engineering, information systems, business

Job description

Fannie Mae is seeking a Senior Director in Internal Audit – Data Science to lead the AI, analytics, and automation strategy and build scalable, credit-safe data products. You will partner across Audit, Technology, and risk to deliver governance, reusable capabilities, and enterprise AI services.

You will mentor top talent, drive innovation, and influence executives while expanding AI-enabled capabilities across the audit lifecycle and risk reporting.