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
-
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.
