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# Implementation Specialist - Advanced Planning Systems - SCM Connections

- **Company:** McKinsey & Co Inc
- **Location:** Boston, MA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Data Transformation, Data Mining, Data Systems, Data Visualization, Integer Programming, Machine Learning, SAP APO, SAP (Applications), Optimization Algorithms
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/implementation-specialist-advanced-planning-systems-scm-connections-boston-ma--665c35f8-6287-4b21-9fa3-52c9c6f25790

## About the Role

Coaching, Mentoring, Diversity, SAP, Machine Learning, Project Design, Project Lifecycle, Problem Solving Skills, Blueprints, Technical/Engineering Design, * Graduate or postgraduate degree in science, engineering, mathematics, business or MBA; master's degree in supply chain optimization / operation research / industrial engineering is a plus

 * 5+ years of experience in supply chain or related field
 * SAP IBP and/or o9 implementation experience required
 * CI-DS experience is preferred
 * Exposure to agentic AI and how it is leveraged in supply chain planning
 * Good understanding of demand planning, inventory optimization, supply chain planning or operational supply chain fundamentals
 * Familiarity with supply chain data and supply chain data systems such as ERP platforms
 * Familiarity with data extraction, data transformation, analytics, and visualization tools
 * Exposure to advanced optimization techniques such as mixed integer linear programming, statistical analyses, and machine learning
 * Good written and verbal communication skills in English are required; Bilingual (Spanish/English) skills are preferred

## Description

You will be based in our Atlanta, Boston, Chicago, Dallas or Washington DC office. You will be a part of MSC-X, the analytics wing of McKinsey & Companys Manufacturing and Supply Chain practice and will work directly with McKinsey project teams and clients across regions and sectors on complex supply chain planning problems.