Senior Director - Internal Audit - Data Science and AI

Global Technical Talent, an Inc. 5000 Company; Washington (District of Columbia); Hybrid; USD 226,000 - 340,000; Full time

Benefits offered by this job

Medical Insurance

Vision Insurance

Dental Insurance

401k Retirement Fund

Job summary

Global Technical Talent is seeking a Senior Director - Internal Audit focused on Data Science and AI in Washington, DC. This role leads AI-enabled transformation within a highly regulated enterprise, delivering analytics, automation, and data products from strategy through production adoption.

The candidate will partner with Technology to scale platforms, govern data products, manage model risk, and advise C-suite stakeholders.

Qualifications

• 8+ years of data science, AI, analytics, automation, product management, technology delivery, audit tech, or related enterprise tech functions.
• 5+ years of leadership building and coaching diverse teams of data science, AI, automation, product, and tech professionals.
• Proven track record delivering enterprise AI, analytics, automation, or data products from strategy to production adoption.
• Experience leading AI-enabled transformation in Internal Audit, risk, compliance, financial services, or other regulated enterprises.
• Deep expertise in AI/ML, GenAI, automation, analytics, data platforms, cloud, model lifecycle, and scalable delivery practices.
• Experience partnering with Technology to design and scale platforms, APIs, and governance for enterprise AI.
• Strong understanding of data governance, model risk, responsible AI, and regulatory expectations in financial services.
• Executive communication and influencing skills to advise executives and explain technical ideas to non-technical audiences.
• Experience establishing strategies, operating models, talent plans, and performance measures to accelerate delivery and efficiency.
• Bachelor's degree or equivalent in CS, data science, statistics, engineering, info systems, or related field.

Responsibilities

• Lead AI-enabled transformation initiatives within Internal Audit and regulatory environments.
• Deliver enterprise-grade AI, analytics, automation, and data products from strategy through production adoption.
• Collaborate with technology teams to design scalable platforms and data governance practices.

Job description

Senior Director - Internal Audit - Data Science and AI

Location: Washington, DC

Onsite Flexibility: Hybrid — Local candidates in Washington, DC or Reston, VA are required to work in office 3 or more days per week. Remote candidates must reside in one of the 50 U.S. states, work Eastern Standard Time Zone business hours (8:30 AM–5:00 PM EST daily), and be willing to come into the DC or Reston, VA office at least once per quarter, with the possibility of more frequent visits depending on business needs.

Job Details

• Position Type: Direct Placement
• Pay / Salary: $226,000–$340,000 / Year (USD)
• Shift / Schedule: 8:30 AM–5:00 PM EST, Monday–Friday
• Work Authorization: Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Job Summary

This is a Senior Director role within Internal Audit focused on Data Science and AI, serving a leading mortgage financing provider dedicated to equitable and sustainable access to affordable housing. The role is responsible for leading AI-enabled transformation within a highly regulated enterprise environment, delivering enterprise-grade AI, analytics, automation, and data products from strategy through production adoption.

Important Notes

• Candidate Pre-Screen Question 1: Please explain how you have personally built ML, predictive models, or statistical models. Also — Can you guide a data scientist through technique selection, model refinement, and calibration?
• Candidate Pre-Screen Question 2: Have you had hands‑on experience with the architecture and development of multi-agentic AI workflows (including RAG, evaluation suites, and orchestration)? If so, what are the considerations to move these workflows to production?

Benefits

• Medical, Vision, and Dental Insurance Plans
• 401k Retirement Fund

Must-Have Requirements

• 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.

About the Client

This client is a leading mortgage financing organization dedicated to equitable and sustainable access to affordable housing, operating across the United States. The organization employs thousands of professionals — including data scientists, AI engineers, technology leaders, audit professionals, risk and compliance specialists, and financial services experts — who collaborate to advance its mission at scale.

Job Number: 26-16506 Industry: Data & Analytics

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