About this role
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.
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
• 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