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**