Senior Director Internal Audit Data Science & AI

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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 Audits 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

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 Audits 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.
• Bachelors 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

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Qualifications

Education:

The future is what you make it to be. Discover compelling opportunities at most roles employees are expected to work onsite on a regular basis at their designated office -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 are 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 employees physical mental emotional and financial well-being. See more here.

Requisition compensation:

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