Required Skills

• Must Have
• 15+ years of overall experience and primarily into program management leading complex, large-scale technology initiatives from inception through delivery.
• Entrepreneurial & founders mindset  to own end-to-end deliveries and guide customers through various phases
• Excellent stakeholder management and communication skills to collaborate with senior leadership, external vendors, and customers. 
• Strategic Thinking & Problem-Solving : Sharp analytical mindset to identify opportunities for process improvements and cost optimization

Nice to have

• Technical acumen in partnering with cross-functional teams (e.g., engineering, data science) and familiarity with cloud services like AWS, Azure, or GCP.
• Proficiency in Agile methodologies (e.g., Scrum, Kanban) and best practices for delivering high-impact AI solutions.
• Familiarity with AI/GenAI knowledge 
• including knowledge of machine learning, large language models (LLMs), prompt engineering, RAG (Retrieval-Augmented Generation), and related techniques. 
• Ability to understand and translate technical concepts into business impacts and vice versa.

Roles & Responsibilities

• Own end-to-end delivery of AI/GenAI programs, defining strategy, scope, and success metrics while ensuring alignment with organizational goals.
• Own and drive the successful execution of the Agentic AI POCs / Pilots / Productizations, ensuring alignment with client expectations.
• Define and manage project scope, timeline, deliverables, and quality standards.
• Collaborate closely with technical teams (e.g., data scientists, software engineers) to translate business requirements into actionable technical roadmaps and ensure timely execution.
• Manage program risks, budgets, and resources, proactively mitigating potential issues and optimizing for cost, quality, and timeline.
• Build and maintain strong stakeholder relationships, serving as the primary point of contact for executive sponsors, clients, and cross-functional partners. 
• Identify opportunities to extend the engagement beyond the POC and drive additional AI implementations.
• Continuously explore emerging AI/GenAI trends to identify opportunities for innovation, drive proof-of-concept initiatives, and showcase technical capabilities to clients.
• Establish governance frameworks (status reporting, steering committees, executive updates) and ensure clear communication across all levels of the organization.