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Tier-1 brand plus metro location increase competition, but seniority and niche AI-operational focus moderate it.
Role requires deep banking operations, regulatory and operational analytics experience, limiting cross-industry transferability.
Explicit 10–14 years, people-management, production GenAI and regulatory experience make screening highly selective.
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Lead delivery and execution of advanced analytics, automation, and AI initiatives focused on improving operational excellence, productivity, risk management, and client experience in US Consumer & Commercial Banking Operations.
Manage and develop a team of 15-30 analytics and AI professionals to build organizational capability in advanced analytics, Generative AI, and operational intelligence.
Own end-to-end solution lifecycle including problem definition, business case development, deployment, and measuring tangible business impact like cost savings and quality improvements.
10–14 years in Analytics, Data Science, Business Intelligence, Operational Analytics, or AI roles.
3–6 years of people management experience leading high-performing teams.
Hands-on experience implementing production-scale Generative AI (LLMs, prompt engineering, RAG) and/or Agentic AI solutions with measurable business outcomes.
Bachelor's degree in Engineering, Mathematics, Statistics, Economics, Computer Science, Business Analytics, or related quantitative field; Master’s preferred.
Experienced in operational analytics and driving business transformation within complex, regulated financial services or consumer banking environments.
Proficient at translating complex operational challenges into scalable analytics and AI-driven solutions with strong business impact.
Skilled in stakeholder management at senior levels and leading cross-functional teams in globally matrixed organizations.