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Chander Vijay Singh

@chandervijaysingh

Program management leader driving cross-functional transformation and data-driven impact.

India
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What I'm looking for

I seek senior roles leading cross-functional transformation where I can apply Lean Six Sigma, program/product management and AI/ML to drive measurable operational and business impact.

I am a program management leader with 22+ years of global experience delivering cross-functional initiatives that align technology, product, operations and business strategy to drive measurable outcomes. I have led large-scale transformation programs across Amazon, Tata, Philips, Ericsson and Honda, delivering $250M+ business impact, building predictive models for churn and sales, and piloting RPA/OCR automation to improve turnaround and efficiency.

I combine Lean Six Sigma mastery, product and program management, and growing AI/ML expertise (IBM PyTorch, IIT Madras) to create data-driven roadmaps, governance and KPI-driven operational improvements. I mentor teams, institutionalize continuous improvement, and translate analytic insights into executive decision-making to scale global programs.

Experience

Work history, roles, and key accomplishments

HI

Executive – Engine Manufacturing

Honda Motorcycles India

Aug 2003 - Oct 2005 (2 years 2 months)

Led crankcase machining line and implemented Lean tools including Poka-Yoke and 5S to improve manufacturing reliability and safety.

Education

Degrees, certifications, and relevant coursework

IIT Madras logoIM

IIT Madras

Advanced Certification Program, Applied AI/ML

Advanced Certification Program in Applied AI/ML (pursuing at time of record).

Symbiosis Centre for Distance Learning logoSL

Symbiosis Centre for Distance Learning

Master of Business Administration, Operations Management

Grade: 71.9%

MBA in Operations Management completed with 71.9% aggregate.

National Institute of Technology Hamirpur logoNH

National Institute of Technology Hamirpur

Bachelor of Technology, Mechanical Engineering

Grade: 72.8%

Bachelor of Technology in Mechanical Engineering completed with 72.8% aggregate.

Tech stack

Software and tools used professionally

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