Senior Internal Audit Manager - Big Data and AI Strategy for Internal Audit
Core
Strategic lead embedding advanced analytics, Big Data infrastructure, and AI into the Internal Audit lifecycle to provide independent assurance on data governance and ML controls.
Role type
Senior Internal Audit Manager (Big Data & AI Strategy)
Builds
AI-driven continuous monitoring frameworks, automated audit routines, and predictive risk models for enterprise platforms.
Domain
Financial Services / Big Data & AI Governance
Deliverable
production ML models | dashboards & analysis | client delivery
Required skills
AI governance, ML model auditing, Big Data architecture, regulatory compliance (EU AI Act, NIST, DORA), automated testing, data pipeline auditing, algorithmic bias evaluation, predictive modeling, stakeholder partnership
Preferred skills
Generative AI/LLM deployment auditing, ethical AI criteria establishment, team upskilling in data analytics
Technologies
Python, SQL, Snowflake, Databricks, AWS Big Data ecosystem, Spark, Tableau/PowerBI, AuditBoard, Claude
Responsibilities
Lead risk-based audits evaluating ML models and AI implementations for bias and governance; Assess compliance with EU AI Act, NIST AI RMF, and SR 11-7; Review Generative AI and LLM deployments for data privacy and security; Evaluate controls across enterprise Big Data infrastructure (Snowflake, Databricks, AWS); Develop and execute the Internal Audit Big Data & AI roadmap; Build predictive models and anomaly detection algorithms for real-time risk identification; Audit data protection mechanisms (GDPR/CCPA); Partner with Chief Data/AI Officers to provide proactive risk guidance.
Seniority
Senior, hands-on IC with strategic lead responsibilities
