Senior Director Internal Audit, Data Science & AI at Washington, DC / Reston, VA- Remote//USC//FTE

Job Title: Senior Director Internal Audit, Data Science & AI
Location: Washington, DC / Reston, VA; open to remote

Fulltime

Role Overview

Lead the AI, data science, analytics, and automation strategy for Internal Audit. This leader will build technology products and high-performing teams that improve audit quality, risk detection, continuous monitoring, evidence generation, and reporting.

Key Responsibilities

• Develop and execute the Internal Audit AI, analytics, and automation roadmap.
• Lead AI and GenAI products from strategy and development through production deployment and adoption.
• Partner with Technology to build a unified audit platform with reusable data assets, APIs, AI services, and secure model operations.
• Recruit, coach, and develop data science, AI engineering, product, and automation professionals.
• Apply AI to anomaly detection, full-population testing, automated evidence generation, and control-risk reporting.
• Establish governance covering data quality, model risk, responsible AI, security, and regulatory expectations.
• Advise senior executives and collaborate across Audit, Technology, Enterprise AI, risk, and compliance.
• Measure business outcomes, including efficiency gains, adoption, audit quality, and improved risk insights.

Required Qualifications

• Minimum 8 years of relevant experience in data science, AI, analytics, automation, product management, audit technology, or enterprise technology delivery.
• Minimum 5 years of leadership experience building and managing high-performing technical teams.
• Proven delivery of enterprise AI, analytics, automation, or data products into production with measurable business outcomes.
• Experience leading AI transformation in Internal Audit, risk, compliance, financial services, or another highly regulated environment.
• Strong expertise in AI/ML, GenAI, advanced analytics, cloud technologies, data platforms, and model lifecycle management.
• Experience with scalable platforms, reusable services, APIs, governed data products, and enterprise software delivery.
• Strong understanding of responsible AI, data governance, model risk, and regulatory expectations.
• Executive communication skills and experience influencing senior stakeholders.
• Bachelor's degree or equivalent experience in a relevant discipline.

Preferred Qualifications

• Advanced degree in AI, data science, computer science, engineering, business, finance, audit, or risk.
• Knowledge of internal audit processes, controls, and enterprise risk management.
• Experience with LLMs, RAG, intelligent agents, NLP, anomaly detection, knowledge graphs, or multi-agent workflows.
• Familiarity with MLOps/LLMOps, model monitoring, secure software delivery, and enterprise architecture.
• Relevant AI, machine learning, or cloud certifications.

Regards,

Ayush Sharma Sr. US Technical Recruiter

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