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Tier-1 brand, metro location, and broad ML/AI leadership requirements increase candidate competition.
Requires banking operations and AI governance expertise, limiting transferability across industries.
Requires bank-grade ML/AI leadership, governance, and specific platform/tool experience, creating strict filters.
Lead design, development, and implementation of AI solutions to improve Corporate Banking and Investment Banking Operations and Controls.
Drive AI solution adoption to simplify operations, achieve cost savings, and enhance revenue growth within CBIBOC.
Collaborate with IT and cross-functional teams to deliver scalable AI applications, ensuring governance and performance monitoring.
Experience delivering production AI solutions in a tier 1 or G-SIB bank environment, preferably in Operations or Controls.
Proficient with AI/ML tools such as PyTorch, TensorFlow, scikit-learn, MLflow, Google Vertex, and no-code/low-code AI tools like Microsoft AI Builder or Google AI Studio.
Strong knowledge of AI risk management practices and experience working under Software Development Lifecycle (SDLC) frameworks.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced leader capable of managing a multi-disciplinary Data Science and AI Engineering team and driving adoption of AI best practices in large banking operations.
Technical expert comfortable balancing hands-on AI development with stakeholder management and governance.
Strategic thinker with ability to prioritize AI use cases by ROI, feasibility, and alignment to business goals, especially within Corporate Banking and Investment Banking controls.