Delivery Manager

7 days ago

Greater Chennai Area, India Prodapt Full time ₹ 12,00,000 - ₹ 24,00,000 per year

Overview
We are seeking an experienced
Senior Technical Project 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
(preferably GCP).

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

  • 12-15 years of IT experience, with at least 6-8 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.

Preferred Qualifications

  • Project Management certifications (PMP, PRINCE2, PMI-ACP, or equivalent).
  • Cloud certifications (Google Cloud Professional Data Engineer / Architect, AWS/Azure equivalents).
  • Experience working with global teams and large enterprise customers.
  • Prior experience in a Global System Integrator (GSI) environment is highly desirable.

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