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Delivery Manager (AI/ML - Senior Project Manager)

Delivery Manager (AI/ML - Senior Project Manager)

Prodapt

12 - 15 years

14 - 17 Lacs

gonda chennai

Posted:1 month ago| Platform:

Apply

Skills Required

pmp data migration project management machine learning agile budgeting risk management project delivery stakeholder management forecasting

Work Mode

Work from Office

Job Type

Full Time

Job Description

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. 2.

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. 3.

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. 4.

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. 5.

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. 6.

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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Delivery Manager (AI/ML - Senior Project Manager)

Experience & Salary

Skills Required

Work Mode

Job Type

Job Description

Senior Technical Project Manager

AI & Data Practice

data engineering, data migration, platform modernization, visualization, data science, machine learning, and Generative AI

hybrid and cloud platforms

Key Responsibilities

Program & Project Delivery

Stakeholder Management

Solution Oversight

Financial & Governance Management

Team Leadership

Cloud & Data Lifecycle Knowledge

data lifecycle management, data science, ML/AI workflows, and Generative AI use cases

Required Qualifications

12-15 years

6 8 years

program/project management

data engineering, migration, cloud modernization, and advanced analytics initiatives

data lifecycle management, data science, machine learning, and emerging Generative AI applications

cloud platform

project financial management, governance, and reporting

Agile and hybrid delivery models

Preferred Qualifications

Project Management certifications

Cloud certifications

global teams and large enterprise customers

Global System Integrator (GSI) environment

More Jobs at Prodapt