Job Description

AI Powered Supply Chain – Job Description 

  • Candidate should have good understanding in  

  • Supply chain network design and optimization 

  • Inventory Optimization 

  • Forecasting and Demand Planning 

The candidate should be able to apply the same in wider Supply Chain context, in client situations for different industry verticals.  

Additionally, the role would require participating in client discussions. Jointly work with other Accenture/ Client teams for business development, capability development and on project for quality delivery.  

The work would require the following: 

  • Good understanding of the Network / Inventory / Forecasting 

  • Experience with tools in the supply chain design/ network/ inventory / planning/ forecasting (like Llamasoft, ToolsGroup, Servigistics, oracle- demand planning tool, JDA, etc.) 

  • Good understanding of warehouse management / analytical tools (like Llamasoft, Manhattan etc.) and methods to optimize logistics costs and improve service levels 

  • Experience in inventory optimization (Single echelon and MEIO) and replenishment planning 

  • Appreciation of underlying business fundamentals in the supply chain domain  

  • Good written and oral communication skills. 

Mandatory Skills: 

  • Strong process knowledge of demand planning, supply planning, sales and operations planning 

  • Prior experience on leading delivery of projects throughout its life cycle and driving conversations, workshops, and presentations with the clients 

  • Drive continuous improvement capability with regards to methodology, tools, practices, and maturity 

  • Will be responsible for training team members and take active part in capability development 

  • Relationship building with teams/stakeholders in selling, shaping and solution development for client deals by providing SME expertise on SC&O related topics 

  • Hands on experience with best in class Supply Chain Planning and Optimization tools  

  • Proficiency with MS word, excel and PowerPoint 

  • Postgraduate: MBA/Industrial Engineering or management / PhD in Operation research / Optimization domain/ Master’s degree in Economics or Mathematics or Statistics 

  • Minimum Experience:  5-8 years (M level), 10+ years (SM level)  

Preferred Skills: 

  • Experience in leading teams, projects and initiatives 

  • Strong design, analytical and problem-solving skills. 

  • Excellent presentation and organizational skills. 

  • Excellent communication skills (both written and verbal) 

  • Articulation of story from unstructured data and inputs 

  • Ability to establish relationships with business stakeholders 

  • Auto/Hi-Tech/Retail/ FMCG industry experience 

  • Articulation of story from unstructured data and inputs 

  • High level understanding of R/Python programming, machine learning models, planning and cloud platforms (Azure/AWS/GCP) 

  • Visualization experience (Qlikview, Power BI etc.) 

  • Manufacturing/Auto/Hi-Tech/Retail/ FMCG industry experience 

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Qualifications

  • Proficiency with MS word, excel and PowerPoint 

  • Postgraduate: MBA/Industrial Engineering or management / PhD in Operation research / Optimization domain/ Master’s degree in Economics or Mathematics or Statistics 

  • Minimum Experience:  5-8 years (M level), 10+ years (SM level)  

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

Accenture is committed to providing veteran employment opportunities to our service men and women.

COVID-19 update:  The safety and well-being of our candidates, our people and their families continues to be a top priority. Until travel restrictions change, interviews will continue to be conducted virtually. 

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