Senior Director Internal Audit

Audit Data Search, Inc.; United States; Remote; USD 180,000 - 260,000; Full time

Job summary

Audit Data Search, Inc. seeks a Senior Director to lead Internal Audit at the intersection of AI, Data Science, and enterprise risk management. You will shape strategy, oversee a small, highly technical team, and remain hands-on with coding and model development.

You will partner with senior stakeholders across Audit, Technology, Data Science, Risk, and Compliance to deploy AI-enabled audit capabilities, ensure governance, and deliver measurable improvements across the organization.

Qualifications

• 8+ years in Data Science, AI, Analytics, Automation, or Enterprise Technology.
• 5+ years in leadership building and mentoring AI/DS/Analytics teams.
• Experience leading enterprise AI transformations in regulated environments.
• Hands-on coding and AI model development alongside teams.

Responsibilities

• Lead AI strategy, analytics, and automation aligned with Internal Audit priorities.
• Promote AI governance, model risk management, and responsible AI practices.
• Direct and mentor a small, highly technical team across Data Science, AI Engineering, Analytics, and Automation.
• Develop and implement scalable AI/ML, Generative AI, analytics, and automation solutions for Internal Audit.
• Improve risk identification, anomaly detection, continuous monitoring, and internal controls through AI technologies.
• Collaborate with Audit, Technology, Enterprise AI, Data Science, Risk, and Compliance leaders to implement solutions.
• Drive enterprise technology integration and reusable data products.

Skills

AI leadership

Data science

Audit risk

Hands-on coding

Regulated environment

Education

Bachelor's degree in CS/DS/Engineering

Advanced degree preferred

Tools

Cloud platforms

AI/ML pipelines

Enterprise data platforms

Job description

Senior Director, Internal Audit | Data Science & AI

REMOTE | United States

About the Company

Our client, a leading financial services organization, is seeking an accomplished Senior Director, Internal Audit | Data Science & AI to lead strategic initiatives at the intersection of Internal Audit, Artificial Intelligence, Data Science, and Enterprise Risk Management.

This is a highly visible leadership opportunity within an established organization committed to leveraging emerging technologies, advanced analytics, and responsible AI practices to strengthen audit capabilities, risk oversight, and operational effectiveness.

About the Role

We are seeking an experienced leader with a strong understanding of Internal Audit, Risk Management, and Controls, combined with deep expertise in AI, Data Science, Advanced Analytics, and AI Governance.

This individual will be responsible for shaping and executing the Internal Audit function's AI and analytics strategy, leading a small, highly technical team, and actively contributing to the development and implementation of innovative, scalable AI/ML solutions.

In addition to managing a small team of highly technical individuals, the Director will be expected to remain actively involved in coding, AI model development, and technical implementation, working alongside the team in addition to overseeing its work.

The role requires a combination of strategic leadership, technical expertise, AI governance, and proven experience delivering enterprise-level transformation.

You will collaborate closely with senior stakeholders across Internal Audit, Technology, Enterprise AI, Data Science, Risk, and Compliance to advance AI-enabled audit capabilities while ensuring appropriate governance, security, and regulatory alignment.

Responsibilities

• Lead AI Strategy and Transformation: Develop and execute a comprehensive AI, advanced analytics, and automation strategy aligned with Internal Audit priorities and broader organizational objectives.
• Drive AI Governance and Responsible Adoption: Promote effective governance of AI-enabled solutions, addressing model risk, data integrity, regulatory compliance, and responsible AI practices.
• Lead a High-Performing Technical Team: Develop, mentor, and lead a small team of professionals across Data Science, AI Engineering, Analytics, and Automation while remaining actively involved in technical execution.
• Develop and Implement AI and Analytics Solutions: Contribute directly to the coding, development, implementation, and adoption of scalable AI/ML, Generative AI, analytics, and automation solutions supporting Internal Audit.
• Enhance Audit and Risk Capabilities: Leverage emerging technologies to improve risk identification, anomaly detection, continuous monitoring, internal controls assessment, and audit efficiency.
• Partner Across the Enterprise: Collaborate with leaders across Audit, Technology, Enterprise AI, Data Science, Risk, and Compliance to design and implement innovative technology solutions.
• Drive Enterprise Technology Integration: Partner with technical teams to develop scalable platforms, reusable technology capabilities, data solutions, and AI-enabled applications.
• Deliver Measurable Business Outcomes: Establish performance measures and evaluate the effectiveness, adoption, and business impact of AI and analytics initiatives.
• Provide Executive-Level Leadership: Serve as a strategic advisor to senior executives, providing guidance on AI innovation, emerging technologies, governance, and risk management.
• Promote Innovation and Talent Development: Foster a culture of continuous improvement, technical excellence, and responsible adoption of emerging AI technologies within the Audit organization.

Qualifications and Skills

• 8+ years of relevant experience in Data Science, Artificial Intelligence, Advanced Analytics, Automation, Audit Technology, Product Management, or Enterprise Technology.
• 5+ years of leadership experience building, mentoring, and managing high-performing teams of AI, Data Science, Analytics, Automation, Product, or Technology professionals.
• Demonstrated experience leading enterprise AI, analytics, or technology transformation initiatives, from strategy and development through implementation, production deployment, and adoption.
• Experience delivering AI-enabled transformation within Internal Audit, Risk Management, Compliance, Financial Services, or another highly regulated enterprise environment.
• Deep technical expertise in AI/ML, Generative AI, advanced analytics, automation, cloud technologies, enterprise data platforms, and scalable technology solutions, with the ability and interest to remain hands-on with coding, AI model development, and technical implementation.
• Strong understanding of AI Governance, Model Risk Management, Responsible AI, Data Governance, and regulatory expectations within regulated environments.
• Experience partnering with Technology teams to design and implement enterprise AI platforms, APIs, reusable technology solutions, microservices, and governed data products.
• Knowledge of AI/ML model lifecycle management, enterprise technology architecture, and modern software/product development practices.
• Proven ability to develop and execute technology strategies, operating models, talent development plans, and performance measures that deliver measurable improvements.
• Strong executive presence and communication skills, with demonstrated ability to advise and influence senior leadership and communicate complex technical concepts to non-technical stakeholders.
• Ability to balance innovation, technical execution, governance, and risk management in a complex enterprise environment.
• Bachelor's degree or equivalent experience in Computer Science, Data Science, Statistics, Engineering, Information Systems, Business, or a related discipline.

Preferred Skills

• Advanced degree in Computer Science, Data Science, Statistics, Engineering, Artificial Intelligence, Analytics, Business, Finance, Audit, Risk Management, or a related field.
• Strong understanding of Internal Audit, internal controls, risk assessment, and enterprise risk management frameworks.
• Experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), intelligent agents, and Natural Language Processing (NLP).
• Knowledge of Machine Learning, anomaly detection, multi-agentic AI workflows, and knowledge graphs.
• Familiarity with cloud-based AI and data platforms, MLOps/LLMOps, model monitoring, data quality controls, secure software delivery, and enterprise architecture practices.
• Relevant professional certifications or credentials in Artificial Intelligence, Machine Learning, Cloud Technologies, or related disciplines, or equivalent professional experience.

NOTE:

Must be authorized to work in the US without the need for sponsorship now or in the future.