Update:

"I am getting "consulting resumes", jumping around every year to a new contract. They don't want that. They want stable employment at end client companies as an employee. Example: Last 5-10 years at Rocket mortgage or Wells Fargo, etc (list below) as a full time perm employee". Companies to look for:

• Rocket Mortgage / Quicken Loans
• Wells Fargo
• JPMorgan Chase
• Bank of America
• U.S. Bank
• Mr. Cooper
• PennyMac

Job Title: Senior Director – Internal Audit, Data Science & AI
Location: Washington, DC / Reston, VA; open to remote
Relocation: May be available, subject to eligibility and business need
Full time roll

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.

Recruiter Screening Focus

Prioritize candidates who combine enterprise AI delivery, technical team leadership, and experience in regulated environments. Confirm their personal ownership of production deployments, team size, executive stakeholder exposure, and measurable results.

Please share the updated resume, current location, compensation expectations, work authorization, availability, and a brief summary of relevant AI leadership and audit/risk experience.