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Tier-1 employer and metro location create moderate applicant density for this senior AI leadership role.
Strong consumer-banking operations and regulatory experience requirements make cross-industry transferability limited.
Explicit 10–14 years, mandatory generative AI production experience, and people-management requirements enforce strict filters.
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Lead and manage a team of 15-30 analytics and AI professionals focused on operations analytics within US Consumer & Commercial Banking (USCC).
Drive end-to-end analytics, automation, and AI initiatives including Generative AI and Agentic AI to improve operational efficiency, risk management, and client experience.
Partner closely with business and technology stakeholders to identify, design, implement, and scale data-driven solutions and measure their business impact.
10–14 years of experience in Analytics, Data Science, Business Intelligence, Operational Analytics, or AI.
3–6 years of people management experience leading high-performing teams.
Bachelor's degree in Engineering, Mathematics, Statistics, Economics, Computer Science, Business Analytics, or related quantitative field.
Hands-on experience with Generative AI (LLMs, prompt engineering, RAG architectures) and Agentic AI (workflow orchestration, multi-agent systems, task automation frameworks).
Proven track record implementing production-scale Generative AI and Agentic AI solutions that deliver measurable business outcomes in a financial services or complex enterprise environment.
Strong expertise in operations management, operational excellence, and process optimization, preferably within consumer banking operations.
Experienced in leading multi-stakeholder, strategic analytics initiatives with a focus on business impact, AI transformation, and scalability in global matrixed organizations.