Required Qualifications:

• Minimum 8 years of relevant experience in data science, AI, analytics, automation, product management, audit technology, or enterprise technology delivery.
• Minimum 5 years of leadership experience building and managing high-performing technical teams.
• Proven delivery of enterprise AI, analytics, automation, or data products into production with measurable business outcomes.
• Experience leading AI transformation in Internal Audit, risk, compliance, financial services, or another highly regulated environment.
• Strong expertise in AI/ML, GenAI, advanced analytics, cloud technologies, data platforms, and model lifecycle management.
• Experience with scalable platforms, reusable services, APIs, governed data products, and enterprise software delivery.
• Strong understanding of responsible AI, data governance, model risk, and regulatory expectations.
• Executive communication skills and experience influencing senior stakeholders.
• Bachelor’s degree or equivalent experience in a relevant discipline.

Preferred Qualifications:

• Advanced degree in AI, data science, computer science, engineering, business, finance, audit, or risk.
• Knowledge of internal audit processes, controls, and enterprise risk management.
• Experience with LLMs, RAG, intelligent agents, NLP, anomaly detection, knowledge graphs, or multi-agent workflows.
• Familiarity with MLOps/LLMOps, model monitoring, secure software delivery, and enterprise architecture.
• Relevant AI, machine learning, or cloud certifications.