Technology

Senior Director – Internal Audit - Data Science and AI (Only W2)

Trispark IncReston, VA🇺🇸United StatesPosted Oct 15, 2026

Why This Role Stands Out

This hybrid role offers an exceptional opportunity to lead and shape the future of data science and AI within internal audit, leveraging your extensive experience to drive impactful transformations in a reputable technology company. You will thrive here if you possess a strong background in AI/ML, enjoy building and mentoring diverse teams, and are eager to develop innovative solutions in a collaborative environment. Apply now to advance your career and make a significant contribution!

Quick Overview

Seniority

Leader

Work mode

Hybrid

Location

Reston, VA, United States

Posted

5 days ago

Internal Audit

Job Description

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.