AI Program Lead-Legal OMAI Transformation-Vice President

Job Description: AI Program Lead (Vice President - C13) Job Title: Vice President, AI Program Lead – Legal OMAI Transformation Job Function: Analytics & Information Management (AIM) Corporate Level: Vice President (C13) Location: Gurugram (Gurgaon), India Reporting Line: Reports to Senior Vice President (SVP) Employment Type: Full-time Position Overview Citi’s Analytics & Information Management (AIM) organization is seeking an experienced, visionary, and delivery-focused AI Program Lead (Vice President - C13) based in Gurugram. In this high-impact leadership role, you will be instrumental in executing the Legal Chief Operating Office (Legal COO) AI Implementation Priorities under the OMAI (Operating Model & AI) initiatives. Reporting directly to a Senior Vice President (SVP), you will serve as the strategic bridge connecting Legal leadership, Business stakeholders, Technology partners, and Advanced Analytics teams. You will chair strategic forums and working groups with senior Legal and business executives to translate business challenges into transformative AI strategies. You will oversee the end-to-end delivery of Citi’s in-house Generative AI and Agentic AI solutions, establishing robust governance, risk management, and adoption frameworks to ensure compliant, scalable, and mission-critical implementation across the global enterprise. Key Responsibilities 1. Strategic Program Leadership & Stakeholder Alignment Chair, facilitate, and steer high-level discussions with senior Legal executives, Business representatives, and Technology leaders to drive consensus on AI priorities, roadmaps, and delivery milestones. Champion the Legal COO Operating Model & AI (OMAI) roadmap, ensuring AI programs align with the overarching enterprise strategy, legal operational excellence, and regulatory mandates. Translate complex legal processes, compliance obligations, and business challenges into actionable AI transformation roadmaps and technical deliverables. 2. End-to-End Delivery of In-House Agentic & Generative AI Solutions Lead the program lifecycle for designing, developing, and deploying proprietary Agentic AI systems, Generative AI applications, and RAG (Retrieval-Augmented Generation) frameworks tailored to legal workflows (e.g., contract analysis, legal research, matter management, spend optimization). Collaborate with Analytics/AI Engineering teams utilizing state-of-the-art architectures (e.g., LangGraph, LangChain, multi-agent orchestrations, memory management, and feedback loops). Establish and track detailed program plans, milestones, resource allocation, and key performance indicators (KPIs) to measure business impact and return on investment (ROI). 3. Comprehensive AI Governance, Risk & Controls Drive rigorous governance and control standards across all in-house Agentic builds, addressing hallucination control, output validation, model monitoring, and data lineage.