Senior Director - Internal Audit - Data Science & AI

Fannie Mae; Washington (District of Columbia); On-site; USD 226,000 - 306,000; Full time

Benefits offered by this job

Relocation assistance

Remote work may be available

Job summary

Fannie Mae seeks a Senior Director to lead Audit AI, Product and Data Science, driving AI strategy, analytics, and automation across the audit function. You will build scalable, reusable data products and partner with risk and technology to strengthen governance and insights.

Candidates need executive presence and a track record in regulated environments. The role emphasizes transformational leadership, platform thinking, and collaboration across Audit, Technology, and Risk to deliver measurable

Qualifications

• 8+ years in data science, analytics, or related enterprise tech.
• 5+ years leading diverse teams of data science, AI, automation, product, and technology professionals.
• Proven track record delivering enterprise AI, analytics, automation, or data products from strategy to production adoption.

Responsibilities

• Lead the 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 capabilities.
• Partner with Technology to architect and scale a unified audit platform with reusable data assets and enterprise-grade controls.
• Build destination talent by attracting and retaining top data science, AI engineering, and product professionals.
• Advise executives on AI value while managing data, model, and ethical risks.
• Shape a platform-based approach that reduces time to market and increases reuse across audits.
• Collaborate with Enterprise AI, risk, compliance, and business leaders to extend capabilities across the three lines of defense.
• Enable continuous monitoring and deeper data-driven insights to position Audit as an innovation beacon.

Skills

AI/ML expertise

GenAI/LLMs

Executive communication

Education

Bachelor's degree or equivalent in CS/DS/engineering

Job description

Playing an essential role in the U.S. economy, Fannie Mae is foundational to housing finance. Here, your expertise can help fuel purpose-driven innovation that expands access to homeownership and affordable rental housing across the country. Join Fannie Mae to grow your career and help people find a place to call home.

Job Description

Relocation assistance is available for this job (subject to eligibility and business need) or Remote work may also be available.

In this dynamic senior leadership position in Audit, you will lead the AI, Product, and Data Science vision and be responsible for advancing Audit's AI strategy, analytics, automation, and enterprise technology delivery. You will build and scale industry-leading technology solutions that improve audit and overall enterprise risk management quality, efficiency, and insight generation while maintaining a well-managed governance of analytics and technology enablers. Your team will partner across Audit, Technology, Enterprise AI, data science, and risk organizations to architect reusable products in a unified platform to deliver AI-enabled capabilities that strengthen risk detection, continuous monitoring, evidence generation, and control-risk reporting. You will be accountable to build a team with high-performing top talent, delivering measurable efficiency and insight-gains, and positioning Audit as a beacon for innovation across the enterprise.

THE IMPACT YOU WILL MAKE

Responsibilities

The Senior Director - Audit AI, Product and Data Science role will offer you the flexibility to make each day your own while working alongside people who care so that you can deliver on the following 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.
• Collaborate with Enterprise AI, data science, technology, risk, compliance, and business leaders to extend Audit-built capabilities across the three lines of defense and improve enterprise risk management effectiveness.
• Enable continuous monitoring, more robust risk detection, automated evidence generation, and deeper data-driven insights that establish Audit as a beacon of innovation and a destination for technical and future-skilled audit talent.

The Experience You Bring To The Team

Minimum Required Experiences

• 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.
• Bachelor's degree or equivalent experience in computer science, data science, statistics, engineering, information systems, business or a related field.
• Shows curiosity and adaptability in learning and responsibly applying new technologies, including artificial intelligence, to reimagine how we work.

Desired Experiences

• Advanced degree in computer science, data science, statistics, engineering, AI, analytics, business, finance, audit, risk, or a related field.
• Strong understanding of Audit, controls or risk management.
• Experience with GenAI/LLMs, retrieval-augmented generation, intelligent agents, NLP, anomaly detection, machine learning, orchestrated multi-agentic workflows, or knowledge graphs.
• Familiarity with cloud AI and data platforms, MLOps/LLMOps, model monitoring, data quality controls, secure software delivery, and enterprise architecture practices.
• Relevant certifications or credentials such as Machine Learning / Cloud / AI certifications, or equivalent professional experience.

Internal Audit - Data Science - Senior Director

Qualifications

Education:

Bachelor's Level Degree

The future is what you make it to be. Discover compelling opportunities at Fanniemae.com/careers.

For most roles, employees are expected to work onsite on a regular basis at their designated office location. In-office work cadence is determined by your manager. Proximity within a reasonable commute to your designated office location is preferred unless the job is noted as open to remote.

Fannie Mae is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, sex, national origin, disability, age, sexual orientation, gender identity/gender expression, marital or parental status, or any other protected factor. Fannie Mae is committed to providing reasonable accommodations to qualified individuals with disabilities who are employees or applicants for employment, unless to do so would cause undue hardship to the company. If you need assistance using our online system and/or you need a reasonable accommodation related to the hiring/application process, please complete this form.

The hiring range for this role is set forth below. Final salaries will generally vary within that range based on factors that include but is not limited to, skill set, depth of experience, certifications, and other relevant qualifications. This position is eligible to participate in a Fannie Mae incentive program (subject to the terms of the program). As part of our comprehensive benefits package, Fannie Mae offers a broad range of Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee's physical, mental, emotional, and financial well-being. See more here.

Requisition Compensation

226000 to 306000