Senior Director – Internal Audit - Data Science and AI

emergiTEL Inc.; Washington (District of Columbia); Hybrid; USD 180,000 - 240,000; Full time

Job summary

emergiTEL Inc. seeks a Senior Director of Internal Audit - Data Science and AI to lead AI strategy, analytics, and automation across audit operations.

You will build scalable AI-enabled solutions, govern analytics governance, and partner across Audit, Technology, and Risk to deliver measurable efficiency and insights. You will drive GenAI capabilities, data governance, and risk controls while shaping a workforce of top data science and engineering talent.

Qualifications

• 8+ years in data science/AI/analytics or related tech functions.
• 5+ years leading diverse teams of data professionals.
• Proven track record delivering enterprise AI/analytics products.
• Experience leading AI-enabled transformation in regulated environments.
• Deep expertise in AI/ML, GenAI, data platforms, cloud tech.
• Experience partnering with Technology to design scalable platforms.

Responsibilities

• Lead AI, analytics, and automation roadmap in line with audit goals.
• Own strategy, product roadmap, and adoption of AI and GenAI capabilities.
• Partner with Technology to scale a unified audit platform and reusable data assets.
• Build and retain top data science, AI, and product talent.
• Advise executives on AI value while managing data and model risk.
• Promote a platform-based approach to reduce time to market and increase reuse.
• Collaborate across risk, compliance, data science, and enterprise AI with stakeholders.
• Enable continuous monitoring, robust risk detection, and evidence generation.

Skills

Data science

AI/ML

Analytics

Leadership

Product management

Cloud technologies

Governance

Education

Bachelor's degree

Tools

APIs

MLOps

Job description

Senior Director – Internal Audit - Data Science and AI

• Washington DC, DC

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

The Senior Director - Audit AI, Product and Data Science role will offer you the flexibility to make each day your own while working alongside people who care so that you can deliver on the following responsibilities:

• 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.
• 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.
• Shows curiosity and adaptability in learning and responsibly applying new technologies, including artificial intelligence, to reimagine how we work.

Desired Experiences

• Advanced degree in computer science, data science, statistics, engineering, AI, analytics, business, finance, audit, risk, or a related field.
• Strong understanding of Audit, controls or risk management.
• Experience with GenAI/LLMs, retrieval-augmented generation, intelligent agents, NLP, anomaly detection, machine learning, orchestrated multi-agentic workflows, or knowledge graphs.
• Familiarity with cloud AI and data platforms, MLOps/LLMOps, model monitoring, data quality controls, secure software delivery, and enterprise architecture practices.
• Relevant certifications or credentials such as Machine Learning / Cloud / AI certifications, or equivalent professional experience.