Top Project Manager Jobs in Chennai

Manage construction project schedules, coordinate with teams, monitor progress, manage resources, identify risks, and prepare reports for successful project completion.

Manage projects' scope, schedule, budget, and quality, ensuring deliverables are met while coordinating with stakeholders and adapting plans as necessary.

Lead and coordinate R&D projects in substation control, ensuring compliance with industry standards, managing teams, and delivering solutions efficiently.

Lead medium to large GIS projects, ensure compliance with regulations, manage risk, and coordinate with stakeholders on project execution and delivery.

The Project Manager is responsible for managing OEM/OES projects, ensuring achievement of project KPIs, budget management, communication with customers, and promoting Valeo values within project teams.

Responsible for managing the Kronos-IR Program by defining products, resolving complex problems with engineering teams, and ensuring project quality and timelines.

Manage technical project for Panel Inspection Program, lead engineering teams, resolve complex issues, and communicate effectively with stakeholders.

Assist in managing interior and finish works for large-scale projects, coordinating with teams on design compliance, quality monitoring, and progress tracking.

The Assistant Project Manager - MEP oversees the management of MEP systems, coordinating design, procurement, site supervision, and compliance across project phases to ensure timely delivery and client satisfaction.

As a Project Manager, you'll lead Salesforce and other application projects, manage schedules, resources, and risks, and ensure clients' success with implementation.

The Project Manager coordinates publishing projects, manages print and digital content, negotiates with vendors, and solves routine problems, ensuring timely delivery.

The Project Manager P0 will assist in project lifecycle phases, manage project documentation, support coordination of team activities, and learn best practices in project management.

The P1 Project Manager will oversee OEM/OES projects, manage budgets, drive team activities, ensure quality and profitability, and maintain client communication.

The Project Manager - Finance will drive project success through financial planning, stakeholder management, and progress tracking, ensuring project alignment and timely completion.

The Project Manager will lead software development for wafer inspection systems, coordinate cross-functional teams, engage with customers, manage risks, and ensure product integration and business alignment.

Manage R&D projects in the power industry focusing on HVDC, ensuring compliance with standards and effective communication with stakeholders.

The Project Manager will oversee R&D projects in the power industry, developing plans, managing teams, and ensuring compliance with standards.

Leads engineering execution of large FEED, EPC, EPCm projects in sectors like Oil and Gas. Manages multidisciplinary teams, ensuring project deliverables meet standards and constraints.

The Advanced Project Manager will oversee large-scale technology projects, focusing on planning, tracking, stakeholder management, and global team coordination using Agile methodologies.

The Project Manager for MEP – QAQC ensures high-quality standards for MEP systems in data centres, overseeing QA/QC plans, compliance, documentation, and coordination with stakeholders.

Lead cross-functional teams in product development for R&D projects in e-Mobility. Manage project scope, budget, timelines, and stakeholder communications while ensuring compliance with regulations.

The Project Quality & Governance Manager oversees project delivery standards, ensuring quality, compliance, and continuous improvement in managed services implementations.

Manage and optimize data annotation and machine learning workflows, ensuring high-quality data for AI models, while engaging with clients and providing team training.

The Project Manager will oversee project planning, execution, and delivery for engineering teams working on AI-driven applications, ensuring Agile processes are followed and quality is maintained.

Manage end-to-end delivery of data engineering projects, coordinating teams and stakeholders, while ensuring adherence to best practices and timelines.