About the role
Senior executive role leading global audit coverage for data governance and artificial intelligence across a major financial institution. Responsible for designing and executing risk-based audit strategies, managing a team of audit professionals, and providing independent assurance to senior management and regulators on the effectiveness of data and AI controls.
BankingOnsite
Key Responsibilities
- Lead and execute comprehensive audits of data governance frameworks and AI/ML models across the enterprise
- Develop and maintain an enterprise-wide audit plan covering data management, AI governance, model risk management, and emerging technology risks
- Provide independent assurance on the design and operating effectiveness of data and AI controls to senior management, regulators, and the Audit Committee
- Assess compliance with regulatory requirements including BCBS 239, GDPR, CCPA, and emerging AI regulations
- Evaluate the adequacy of model development, validation, and monitoring processes for AI/ML applications
- Review data quality, lineage, and metadata management practices across critical business processes
- Lead audit teams in evaluating cloud-based data platforms and AI infrastructure controls
- Present audit findings and recommendations to executive leadership and regulatory bodies
- Drive continuous monitoring and risk assessment activities for data and AI risks
- Establish and maintain relationships with key stakeholders including Risk Management, Technology, Data Offices, and Business units
Requirements
- Bachelor's degree in Accounting, Finance, Information Systems, Computer Science, Data Science, or related field
- 12+ years of experience in internal audit, risk management, or technology audit within financial services
- Professional certification required: CPA, CIA, or CISA
- Experience auditing data governance programs and AI/ML models in financial services
- Deep knowledge of regulatory frameworks including SOX, COSO, COBIT, and emerging AI regulations
- Demonstrated experience with model risk management frameworks and AI governance practices
- Strong understanding of data management concepts including data quality, lineage, metadata, and master data management
- Experience auditing cloud platforms (AWS, Azure, GCP) and associated data/AI services
- Proven track record of managing audit teams and delivering complex audit engagements
- Experience presenting to senior executives and regulatory bodies
- Preferred certifications: CISM, CRISC, CISSP, CIPP, CIPM, PMP, or CFA
- Experience with regulatory examinations and regulatory remediation activities
- Strong analytical and problem-solving skills with ability to assess complex technical risks
- Excellent written and verbal communication skills with ability to explain technical concepts to non-technical audiences