AI&D Delivery Manager

Overview

We are seeking an experienced Delivery Manager to join our AI & Data Practice . The individual will manage one or more programs and multi-disciplinary teams delivering projects across data engineering, data migration, platform modernization, visualization, data science, machine learning, and Generative AI . This role requires strong expertise in managing data lifecycle projects, excellent stakeholder engagement skills, and proven experience in delivering large-scale programs on hybrid and cloud platforms (GCP,AWS, Azure).

Responsibilities

Key Responsibilities

• Program & Project Delivery
• Lead the end-to-end delivery of AI & Data programs across hybrid and cloud environments.
• Manage multiple teams (5-50 members) across data engineering, ML / AI, and visualization streams.
• Ensure adherence to project timelines, budgets, and quality standards.
• Stakeholder Management
• Serve as the primary point of contact for customers, ensuring clear communication and alignment.
• Work closely with business sponsors, product owners, and technical leads to define scope, outcomes, and priorities.
• Build strong relationships with customer stakeholders and executive sponsors.
• Solution Oversight
• Oversee design, migration, and implementation of solutions across data pipelines, platforms, and ML / AI models.
• Guide decisions on modernization, refactoring, and cloud adoption strategies.
• Support solution architects and technical leads in aligning delivery to business outcomes.
• Financial & Governance Management
• Own project financials, including budgeting, forecasting, and cost tracking.
• Ensure compliance with delivery governance, risk management, and reporting standards.
• Track and report on project KPIs, success metrics, and ROI.
• Team Leadership
• Lead distributed teams across engineering, data science, and platform operations.
• Provide guidance, mentorship, and conflict resolution within project teams.
• Foster a culture of accountability, innovation, and continuous improvement.
• Cloud & Data Lifecycle Knowledge
• Apply deep understanding of data lifecycle management, data science, ML / AI workflows, and Generative AI use cases.
• Leverage experience with at least one major cloud platform (GCP preferred; AWS or Azure beneficial).
• Stay current with evolving AI / ML and data technology trends to guide clients in adopting innovative solutions

Requirements

Required Qualifications

Preferred Qualifications

Skills Required

Data Migration, Aws, Data Science, data engineering , Azure, Visualization, Gcp, Machine Learning