Digital Transformation Project Manager

Sarthee Consultancy; Indore District; On-site; INR 3,000,000 - 5,500,000; Full time

Job summary

Sarthee Consultancy in Mumbai seeks a Senior Manager Digital & Product Manager to lead the design, development, and deployment of digital tools across Engineering functions. You will define the roadmap, drive data-driven initiatives, and mentor teams to ensure robust delivery in an EPC environment.

Candidate should have a strong background in AI/ML, data analytics, and open-source integrations, linking digital efforts to tangible business outcomes and productivity gains.

Qualifications

• 10+ years in digital transformation, product management, or tech leadership.
• Proven ability to lead technical teams and deliver digital tools.
• Experience implementing tools in EPC/Engineering/Infrastructure contexts.
• Ability to tie digital initiatives to business outcomes (productivity, cost, cycle time).

Responsibilities

• Lead design, development, and implementation of digital tools for Engineering.
• Be the first line of resolution for digital/software issues.
• Mentor and train a team of developers for high-quality delivery.
• Define and execute product vision, roadmap, and adoption strategy across functions.
• Collaborate with Engineering, IT, and Business teams to digitize processes.
• Drive AI/ML, data science, analytics, automation, and computer vision initiatives.

Skills

Leadership

Digital transformation

Product management

Technology leadership

EPC/Engineering domain knowledge

Business outcomes orientation

Education

Bachelors/Masters in Engineering or Computer Science

MBA (preferred)

Certifications in AI/ML/Cloud (preferred)

Tools

TensorFlow

PyTorch

Scikit-Learn

YOLO / Open Source CV APIs

Job description

Job Summary

Position Title: Senior Manager Digital & Product Manager

Department: Engineering / Digital Transformation

Location: Mumbai

Working Days: 5 Days

Industry: EPC

Responsibilities

• Lead design, development, and implementation of digital tools and solutions for the engineering department.
• Act as the first line of resolution for all digital and software issues.
• Manage, mentor, and train a team of developers, ensuring productivity and high-quality delivery.
• Define and execute the product vision, roadmap, and adoption strategy across functions.
• Collaborate with Engineering, IT, and Business teams to identify opportunities for digitization.
• Drive innovation by introducing AI/ML, Data Science, analytics, automation, and computer vision solutions.
• Explore and integrate Open-Source APIs/software (e.g., YOLO for computer vision, automation use cases).
• Oversee Data Lake, data pipelines, and analytics platforms to enable enterprise-wide data-driven decision-making.
• Monitor KPIs, measure product impact, and continuously enhance digital offerings.
• Keep track of the technology roadmap and emerging digital trends, aligning them with product innovation.
• Foster a digital-first culture across engineering and project execution teams.

Experience & Skills

• 10+ years of experience in digital transformation, product management, or technology leadership.
• Strong leadership and people management skills with ability to guide technical teams.
• Proven record of implementing digital tools in EPC/Engineering/Infrastructure context.
• Ability to link digital initiatives with business outcomes (productivity, cost, cycle time).

Technical Expertise

• Python, SQL, AI/ML frameworks (TensorFlow, PyTorch, Scikit-Learn).
• Experience in Data Science, Data Lakes, data pipelines, and enterprise analytics platforms.
• Proficiency in at least one additional programming language (Java, C++, R, or JavaScript).
• Knowledge of Open Source APIs/software (e.g., YOLO, computer vision, NLP, automation).
• Hands-on troubleshooting, debugging, and issue resolution.
• Familiarity with APIs, cloud platforms, and integration frameworks.

Desired Qualifications

• Bachelors/Masters in Engineering, Computer Science, Data Science, or related field.
• MBA (preferred) with specialization in Technology, Operations, or Product Management.
• Certification in AI/ML, Product Management, or Cloud Technologies (preferred).