AI Deliver Project Lead

NTT DATA, Inc.; Dadri; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

NTT DATA, Inc. in India seeks an experienced AI Delivery Manager with a strong background in end-to-end software delivery and at least 3 years hands-on AI/ML program leadership.

You will guide multi-disciplinary teams, govern delivery, realize business value, and drive AI initiatives across industries. The role requires managing large technology programs, defining scalable architectures, collaborating with product and engineering teams, and building governance, risk, and quality frameworks while

Qualifications

• 8+ years of technology or software delivery experience.
• 3 years delivering AI/ML or Generative AI programs.
• Experience leading large-scale IT/software projects.
• Strong expertise in Agile, Scrum, and hybrid delivery methodologies.
• Understanding of AI/ML lifecycle: data engineering, model development, deployment, and monitoring.
• Familiarity with cloud ecosystems (Azure, AWS, GCP) and MLOps tooling.

Responsibilities

• Lead delivery of AI/ML and Generative AI projects, ensuring timely, high-quality outcomes.
• Oversee data preparation, model development, deployment, and MLOps pipelines.
• Drive delivery of end-to-end solutions that integrate AI components into existing or new applications.
• Collaborate with engineering and product teams to define scalable AI architectures and workflows.
• Present program updates, metrics, and risks to senior leadership and client executives.
• Mentor delivery teams on best practices, execution discipline, and continuous improvement.

Skills

AI delivery

Program management

Stakeholder communication

Agile/Scrum

Budget management

Team leadership

Tools

Cloud platforms (Azure/AWS/GCP)

Job description

Job Description:

Job Summary

We are looking for an experienced AI Delivery Manager with a strong background in end-to-end software delivery andatleast3 years of hands-on experience in managing AI/ML or Generative AI/Agentic AI initiatives. The ideal candidate will lead multi-disciplinary teams, drive delivery governance, ensure business value realization, and execute AI programs across diverse industries.

This role is perfect for someone who has managed large-scale technology programs in the past and has transitioned into AI/ML delivery in recent years.

Key Responsibilities

AI/ML & Technology Delivery

• Lead delivery of AI/ML and Generative AI projects, ensuringtimely, high-quality outcomes.
• Oversee data preparation, model development, deployment, andMLOpspipelines.
• Drive delivery of end-to-end solutions that integrate AI components into existing or new applications.
• Collaborate with engineering and product teams to define scalable AI architectures and workflows.

Program & Project Management

• Manage multiple AI and software delivery workstreams simultaneously.
• Maintain program roadmaps, milestones, risk registers, and status reports.
• Develop delivery models, governance structures, and quality frameworks.
• Ensure adherence to timelines, scope, budget, and compliance standards.

Stakeholder & Client Management

• Serve as the primary point of contact for business and technical stakeholders.
• Translate business needs into AI delivery plans, PoC scopes, and implementation strategies.
• Present program updates, metrics, and risks to senior leadership and client executives.
• Maintain strong relationships with customer teams to ensure satisfaction and alignment.

Team Leadership & Collaboration

• Lead cross-functional teams including Data Scientists, ML Engineers, Data Engineers, Developers, QA, and Cloud Engineers.
• Facilitate collaboration between technical and non-technical teams.
• Mentor delivery teams on best practices, execution discipline, and continuous improvement.

Operational & Delivery Excellence

• Ensure AI solutions follow responsible AI principles, data security, and governance standards.
• Implement KPIs, SLAs, and performance dashboards to track model and program health.
• Promotedeliveryreusability frameworks, automation, and process optimization.

Required Skills & Qualifications

• 8+ years of experience in technology or software delivery, including:
• 3years of experience delivering AI/ML or Generative AI programs
• Prior experience leading large-scale IT/software projects
• Strongexpertisein Agile, Scrum, and hybrid delivery methodologies.
• Understanding ofAI/ML lifecycle, including data engineering, model development, deployment, and monitoring.
• Familiarity with cloud ecosystems (Azure, AWS, GCP) andMLOpstooling.
• Excellent skills in stakeholder communication, executive reporting, and expectation management.
• Proven ability to manage budgets, resource plans, and multi-vendor teams.
• Strong risk management, governance, and escalation handling experience.