Senior Assistant Vice President

Job Description: Lead enterprise-scale AI and Generative AI delivery programs , driving measurable business outcomes across clients. Own end-to-end execution, stakeholder engagement, and solution scaling , while shaping AI-led transformation journeys.

This role combines delivery leadership, client advisory, and AI expertise , with accountability for program success, growth, and team excellence.

Responsibilities: Delivery Leadership

• Own end-to-end delivery of AI/GenAI programs across multiple accounts
• Drive timely, high-quality execution with clear business outcomes (revenue, cost, efficiency)
• Establish delivery governance, KPIs, and performance tracking

Program & Portfolio Management

• Manage a portfolio of AI initiatives (GenAI, automation, advanced analytics)
• Lead program planning, risk management, and cross-functional alignment
• Ensure scalable delivery using Agile, MLOps, and LLMOps practices

Client & Stakeholder Management

• Act as a trusted advisor to senior client stakeholders
• Translate business problems into AI-led solutions and execution roadmaps
• Drive client satisfaction, retention, and growth

AI Solution Oversight

• Guide teams on LLM-based applications, RAG architectures, and agentic workflows
• Ensure solutions meet enterprise standards (scalability, security, governance)
• Promote use of reusable assets and accelerators

Business Growth & Pre-Sales

• Support AI solutioning for large deals and strategic bids
• Partner with sales to develop value propositions and proposals
• Identify expansion opportunities within accounts

Team Leadership

• Build and lead high-performing AI teams (architects, data scientists, engineers)
• Mentor leaders and drive capability development in GenAI
• Foster a culture of ownership, innovation, and delivery excellence

• Qualifications: 12–15 years in AI/Analytics delivery, consulting, or digital transformation
• Proven experience managing end-to-end delivery of enterprise-scale programs
• Strong exposure to Generative AI (LLMs, RAG, AI automation)
• Experience working with enterprise clients and senior stakeholders
• Solid understanding of cloud ecosystems (AWS / Azure / GCP)
• Track record of leading teams and driving multi-program execution