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Senior Director – Internal Audit - Data Science and AI

Remote / Online - Candidates ideally in
Reston, Fairfax County, Virginia, 22090, USA
Listing for: Cephas Consultancy Services Private Limited
Remote/Work from Home position
Listed on 2026-10-18
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Data Science Manager, Data Analyst, Information Security & Data Protection
Salary/Wage Range or Industry Benchmark: 200000 - 260000 USD Yearly USD 200000.00 260000.00 YEAR
Job Description & How to Apply Below
Senior Director – Internal Audit - Data Science and AI

Cephas Consultancy Services Private Limited, Reston, Virginia, United States

About this position Job  : CLI-45935-0 Job Type: Permanent

Internal Audit – Data Science – Senior Director
AKA Senior Director – Internal Audit - Data Science and AI
Reston, VA or Washington, DC or Open to Remote
JR2539
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
  • 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.
  • Ex…
Position Requirements
10+ Years work experience
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