Delivery Manager (AI/ML - Senior Project Manager)

As an experienced Senior Technical Project Manager, you will be joining Prodapt's AI & Data Practice team. Your role will involve managing one or more programs and multi-disciplinary teams delivering projects across various domains such as data engineering, data migration, platform modernization, visualization, data science, machine learning, and Generative AI. Strong expertise in managing data lifecycle projects, excellent stakeholder engagement skills, and proven experience in delivering large-scale programs on hybrid and cloud platforms (preferably GCP) will be essential for this role. Key Responsibilities: - Lead the end-to-end delivery of AI & Data programs across hybrid and cloud environments. - Manage multiple teams (550 members) across data engineering, ML/AI, and visualization streams. - Ensure adherence to project timelines, budgets, and quality standards. - Serve as the primary point of contact for customers, ensuring clear communication and alignment. - Oversee design, migration, and implementation of solutions across data pipelines, platforms, and ML/AI models. - Own project financials, including budgeting, forecasting, and cost tracking. - Lead distributed teams across engineering, data science, and platform operations. - Apply deep understanding of data lifecycle management, data science, ML/AI workflows, and Generative AI use cases. Qualifications Required: - 1215 years of IT experience, with at least 68 years in managing data and ML/AI lifecycle projects. - Proven experience in program/project management across data engineering, migration, cloud modernization, and advanced analytics initiatives. - Strong understanding of data lifecycle management, data science, machine learning, and emerging Generative AI applications. - Hands-on exposure to at least one cloud platform (GCP preferred; Azure/AWS beneficial). - Solid expertise in project financial management, governance, and reporting. - Strong background in Agile and hybrid delivery models. - Excellent communication, leadership, and stakeholder management skills. As you consider applying for this opportunity, you can follow these steps: 1. Click On Apply! And Register or Login on our portal. 2. Complete the Screening Form & Upload updated Resume. 3. Increase your chances to get shortlisted & meet the client for the Interview. Uplers' goal is to make hiring reliable, simple, and fast. They are dedicated to helping talents find and apply for relevant contractual onsite opportunities and progress in their careers. They assure support for any grievances or challenges faced during the engagement. If you are prepared for a new challenge, a great work environment, and an opportunity to advance your career, do not hesitate to apply today. Uplers is looking forward to welcoming you! As an experienced Senior Technical Project Manager, you will be joining Prodapt's AI & Data Practice team. Your role will involve managing one or more programs and multi-disciplinary teams delivering projects across various domains such as data engineering, data migration, platform modernization, visualization, data science, machine learning, and Generative AI. Strong expertise in managing data lifecycle projects, excellent stakeholder engagement skills, and proven experience in delivering large-scale programs on hybrid and cloud platforms (preferably GCP) will be essential for this role. Key Responsibilities: - Lead the end-to-end delivery of AI & Data programs across hybrid and cloud environments. - Manage multiple teams (550 members) across data engineering, ML/AI, and visualization streams. - Ensure adherence to project timelines, budgets, and quality standards. - Serve as the primary point of contact for customers, ensuring clear communication and alignment. - Oversee design, migration, and implementation of solutions across data pipelines, platforms, and ML/AI models. - Own project financials, including budgeting, forecasting, and cost tracking. - Lead distributed teams across engineering, data science, and platform operations. - Apply deep understanding of data lifecycle management, data science, ML/AI workflows, and Generative AI use cases. Qualifications Required: - 1215 years of IT experience, with at least 68 years in managing data and ML/AI lifecycle projects. - Proven experience in program/project management across data engineering, migration, cloud modernization, and advanced analytics initiatives. - Strong understanding of data lifecycle management, data science, machine learning, and emerging Generative AI applications. - Hands-on exposure to at least one cloud platform (GCP preferred; Azure/AWS beneficial). - Solid expertise in project financial management, governance, and reporting. - Strong background in Agile and hybrid delivery models. - Excellent communication, leadership, and stakeholder management skills. As you consider applying for this opportunity, you can follow these steps: 1. Click On Apply! And Register or Login