Bright Vision Technologies
Senior Director – Internal Audit, Data Science & AI
Be an Early Applicant
Lead AI, machine learning, generative AI, analytics, and automation initiatives within Internal Audit. Develop and deploy production AI models, anomaly detection, continuous monitoring, automated audit evidence solutions, APIs, and scalable data products. Establish AI strategy, governance, model risk controls, and responsible AI practices while mentoring a technical team and remaining hands-on with coding and model development. Collaborate with technology, data science, executives, and other stakeholders to deliver measurable enterprise outcomes.
Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations.
We leverage cutting-edge technologies to create scalable, secure, and user-friendly applications. As we continue to grow, we’re looking for a skilled Senior Director – Internal Audit - Data Science and AI join our dynamic team and contribute to our mission of transforming business processes through technology.
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: Senior Director – Internal Audit, Data Science & AI
Location: Reston, VA / Washington, DC / Remote (U.S.)
Work Arrangement: Hybrid or Remote
Salary: $226,000–$340,000 per year + 35% Long-Term Incentive Cash Bonus
Relocation: Case-by-case
Job Summary
We are seeking a hands-on Senior Director – Internal Audit, Data Science & AI to lead AI, machine learning, analytics, and automation initiatives within Internal Audit. This role combines technical leadership with active coding and AI model development. The ideal candidate will lead a small technical team while personally contributing to AI solutions that improve audit efficiency, risk detection, and enterprise decision-making.
Key Responsibilities
Candidates local to Reston, VA or Washington, DC must work onsite at least 3 days per week. Remote candidates must reside within the United States, work Eastern Time business hours (8:30 AM–5:00 PM), and be available to visit the DC or Reston office at least once per quarter, with additional visits as needed.
Important: This is a hands-on technical leadership position. Candidates must be willing to perform coding and AI model development themselves while leading a small team. Candidates seeking exclusively strategic or people-management roles will not be a fit.
Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact us at (908) 650-6382
Bright Vision Technologies, we are committed to equal employment opportunities and fostering an inclusive work environment. If you require accommodations during the recruitment process, please let us know.
Position offered by “No Fee agency.”
We leverage cutting-edge technologies to create scalable, secure, and user-friendly applications. As we continue to grow, we’re looking for a skilled Senior Director – Internal Audit - Data Science and AI join our dynamic team and contribute to our mission of transforming business processes through technology.
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: Senior Director – Internal Audit, Data Science & AI
Location: Reston, VA / Washington, DC / Remote (U.S.)
Work Arrangement: Hybrid or Remote
Salary: $226,000–$340,000 per year + 35% Long-Term Incentive Cash Bonus
Relocation: Case-by-case
Job Summary
We are seeking a hands-on Senior Director – Internal Audit, Data Science & AI to lead AI, machine learning, analytics, and automation initiatives within Internal Audit. This role combines technical leadership with active coding and AI model development. The ideal candidate will lead a small technical team while personally contributing to AI solutions that improve audit efficiency, risk detection, and enterprise decision-making.
Key Responsibilities
- Lead AI, machine learning, Generative AI, analytics, and automation initiatives across Internal Audit.
- Personally contribute to coding, AI model development, and production implementation.
- Drive AI strategy, product roadmaps, and deployment of scalable enterprise solutions.
- Partner with Technology and Data Science teams to develop reusable platforms, APIs, and data products.
- Implement solutions for anomaly detection, continuous monitoring, and automated audit evidence generation.
- Ensure responsible AI practices, data governance, model risk management, and regulatory compliance.
- Lead and mentor a small technical team while remaining actively involved in hands-on technical work.
- Collaborate with executives and cross-functional stakeholders to deliver measurable business outcomes.
- 8+ years of experience in AI/ML, data science, analytics, automation, or enterprise technology.
- 5+ years of technical team leadership experience.
- Proven experience delivering AI, analytics, or automation solutions into production.
- Experience in Internal Audit, risk, compliance, financial services, or another regulated industry.
- Strong hands-on expertise in AI/ML, Generative AI, coding, model development, data platforms, cloud technologies, and model lifecycle management.
- Knowledge of data governance, responsible AI, model risk, and regulatory requirements.
- Experience with enterprise platforms, APIs, and scalable software or product delivery.
- Bachelor's degree in a relevant field or equivalent experience.
- Advanced degree in a relevant field.
- Experience with LLMs, RAG, AI agents, NLP, anomaly detection, or multi-agent workflows.
- Familiarity with cloud AI platforms, MLOps/LLMOps, and model monitoring.
- Knowledge of audit, controls, and risk management.
Candidates local to Reston, VA or Washington, DC must work onsite at least 3 days per week. Remote candidates must reside within the United States, work Eastern Time business hours (8:30 AM–5:00 PM), and be available to visit the DC or Reston office at least once per quarter, with additional visits as needed.
Important: This is a hands-on technical leadership position. Candidates must be willing to perform coding and AI model development themselves while leading a small team. Candidates seeking exclusively strategic or people-management roles will not be a fit.
Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact us at (908) 650-6382
Bright Vision Technologies, we are committed to equal employment opportunities and fostering an inclusive work environment. If you require accommodations during the recruitment process, please let us know.
Position offered by “No Fee agency.”
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What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
