As an experienced Project Manager in a fast-paced, innovation-led AI delivery team operating under a Managed Services model, your role will involve owning end-to-end delivery across multiple concurrent initiatives. This includes AI Agents, Chatbots, Generative AI solutions, PoCs, feasibility assessments, and production AI implementations. Your primary responsibility will be to ensure smooth execution with minimal dependency on client-side management. Key Responsibilities: - Lead and deliver multiple parallel AI/ML programs from planning through execution and closure. - Manage project scope, schedule, budget, quality, risks, dependencies, governance, and reporting. - Drive execution across innovation initiatives, PoCs, feasibility studies, and production implementations. - Prepare and publish periodic project status reports across all active initiatives in the client-agreed dashboard and governance format, providing clear visibility into delivery progress, milestones, risks, dependencies, resource utilization, financials (where applicable), and overall project health to enable proactive decision-making and stakeholder alignment. - Independently manage client communication, escalations, stakeholder alignment, and delivery governance. - Ensure predictable outcomes and high stakeholder satisfaction under a Managed Services operating model. - Lead cross-functional teams comprising AI/ML Engineers, Data Scientists, Business Analysts, QA/Test Engineers, MLOps/DevOps Engineers, and Solution Architects. - Drive resource planning, prioritization, operational excellence, and team productivity. Required Skills: - Possess PMP, PRINCE2, PgMP, CSM, PSM, or SAFe certifications. - Strong Project/Program Management experience in technology delivery environments, especially in Python or Java or any Programming Language. - Experience managing AI/ML or Data-focused teams. - Working knowledge of AI/ML, Generative AI, AI Agents, Chatbots, LLMs, and RAG. - Familiarity with Data & analytics lifecycle, Cloud platforms (Azure/AWS/GCP), APIs, SDLC, testing, deployment, DevOps & MLOps concepts, and Front End Technologies like React, Angular, CSS. - Agile/Scrum delivery experience. - Excellent communication, stakeholder management, and executive reporting skills. - Ability to operate effectively in dynamic, fast-changing environments. Preferred Skillsets & Certifications: - Exposure and/or certifications in Machine Learning, Deep Learning, Data Science, Generative AI, Cloud platforms and AI services (Azure/AWS/GCP), API Management and enterprise integration, Python or equivalent programming awareness, Data engineering and solution architecture concepts, and AI platform, ML, Data Science, or Cloud certifications. Success Measures: - Consistent on-time delivery across multiple AI initiatives. - Reduced client operational dependency. - High delivery predictability and stakeholder satisfaction. - Effective conversion of PoCs into scalable production solutions. As an experienced Project Manager in a fast-paced, innovation-led AI delivery team operating under a Managed Services model, your role will involve owning end-to-end delivery across multiple concurrent initiatives. This includes AI Agents, Chatbots, Generative AI solutions, PoCs, feasibility assessments, and production AI implementations. Your primary responsibility will be to ensure smooth execution with minimal dependency on client-side management. Key Responsibilities: - Lead and deliver multiple parallel AI/ML programs from planning through execution and closure. - Manage project scope, schedule, budget, quality, risks, dependencies, governance, and reporting. - Drive execution across innovation initiatives, PoCs, feasibility studies, and production implementations. - Prepare and publish periodic project status reports across all active initiatives in the client-agreed dashboard and governance format, providing clear visibility into delivery progress, milestones, risks, dependencies, resource utilization, financials (where applicable), and overall project health to enable proactive decision-making and stakeholder alignment. - Independently manage client communication, escalations, stakeholder alignment, and delivery governance. - Ensure predictable outcomes and high stakeholder satisfaction under a Managed Services operating model. - Lead cross-functional teams comprising AI/ML Engineers, Data Scientists, Business Analysts, QA/Test Engineers, MLOps/DevOps Engineers, and Solution Architects. - Drive resource planning, prioritization, operational excellence, and team productivity. Required Skills: - Possess PMP, PRINCE2, PgMP, CSM, PSM, or SAFe certifications. - Strong Project/Program Management experience in technology delivery environments, especially in Python or Java or any Programming Language. - Experience managing AI/ML or Data-focused teams. - Working knowledge of AI/ML, Generative AI, AI Agents, Chatbots, LLMs, and RAG. - Familiarity with Data & analytics lifecycle, C