Senior Director – Internal Audit - Data Science and AI

Fox Point Recruitment LLC; Washington (District of Columbia); Hybrid; USD 226,000 - 340,000; Full time

Job summary

Fox Point Recruitment LLC is recruiting a Senior Director – Internal Audit for Data Science and AI, guiding AI strategy and analytics across the audit lifecycle. The role centers on leading AI-enabled transformation, building scalable platforms, and delivering measurable efficiency gains in a regulated enterprise environment.

The position requires executive communication skills and a strong track record in data science, AI, and risk-aware product delivery, with hybrid in-office and remote work

Qualifications

• 8+ years in data science, AI, analytics, automation, product management, technology delivery, audit technology, or related functions.
• 5+ years of leadership building and guiding diverse teams of data science, AI, automation, product, and tech professionals.
• Proven track record delivering enterprise AI/analytics/automation products from strategy to production with measurable outcomes.
• Experience leading AI-enabled transformation in internal audit, risk, compliance, or regulated environments.
• Deep expertise in AI/ML, GenAI, data platforms, cloud technologies, model lifecycle management, and scalable delivery practices.

Responsibilities

• Lead the development and execution of AI, analytics, and automation roadmaps aligned to audit priorities and enterprise AI vision.
• Own strategy and delivery of AI, GenAI, analytics, and automation capabilities across the audit lifecycle.
• Partner with Technology to scale a unified audit platform with reusable data assets and secure delivery.
• Build talent in data science, AI engineering, product, and automation while upskilling the audit workforce.
• Advise executives and VP+ stakeholders on value from AI and analytics while managing data and model risks.
• Shape platform-based approaches to reduce time-to-market and increase reuse in audit processes.
• Collaborate across risk, compliance, and business leaders to extend capabilities across defense lines.

Skills

Data science

AI

Analytics

Automation

Product management

Technology delivery

Audit technology

Executive communication

Education

Bachelor's degree

Tools

APIs

Cloud platforms

MLOps

Job description

Job Title

Senior Director – Internal Audit - Data Science and AI

Locations

Reston, VA or Washington, DC or Open to Remote

Work Arrangements

Hybrid Option: 3 or more days per week in office for candidates local to Washington, DC or Reston, VA

Remote Option:Must live in the 50 US states, work Eastern Standard Time Zone Business hours (8:30-5 PM EST daily) and be willing to come into the DC or Reston, VA office at least 1 time per quarter

Relocation Eligibility: Case-by-case

Compensation

Salary - USD $226,000 – $340,000 / yr plus35% long term incentive cash bonus

Job Summary

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. 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.

Key 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.

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.