Master's degree in operations research or industrial engineering
2+ years enterprise-level solution deployment experience
Hands-on experience with advanced planning systems (aps)
The company aims to be the most value-creating platform for enterprises by transforming decision-making through an AI-first approach
Job Summary
The company aims to be the most value-creating platform for enterprises by transforming decision-making through an AI-first approach.
This role involves leading teams through the full lifecycle of supply chain planning solutions, from requirement gathering to go-live and value realization.
Candidates will utilize advanced statistical tools like R, SAS, and CPLEX to analyze large enterprise data and provide actionable business insights.
Matching Summary
The company aims to be the most value-creating platform for enterprises by transforming decision-making through an AI-first approach.
Skills & Requirements
Must-have
Master's degree in Operations Research or Industrial Engineering
2+ years enterprise-level solution deployment experience
Hands-on experience with advanced planning systems (APS)
Deep domain expertise in multi-echelon inventory optimization
Proficiency in R, SAS, CPLEX, SQL, and statistical modeling
Experience leading full lifecycle supply chain implementations
Agile methodology and Jira tool proficiency
Nice-to-have
Mentoring junior analysts and team leadership skills
Creating executive-level PowerPoint decks and dashboards
Knowledge of AI-powered management and Enterprise Knowledge Graph
Experience with change management and post-implementation reviews
Cross-functional collaboration across global geographies
Key Requirements
Master's degree required
2 years minimum experience
Operations Research or Industrial Engineering background