APS Implementation Specialist - SCM Connections

Your Impact

You will spend a significant part of your time working with McKinsey clients to design and implement advanced digital planning solutions.

You will participate in the complete lifecycle of a project from design to delivery of Advanced Planning Systems (APS) solutions for clients across industries and geographies.

You will specialize in APS software implementations (o9, SAP/IBP), advanced planning analytics, configuration of advanced statistical forecasting models with a focus on driving continuous improvement and machine learning solutions.

As part of your role, you will work closely with solution architects to develop clear functional and technical design, document data requirements and build complex datasets, and configure the APS platform based on the blueprint laid out during design to solve deep operations / supply chain problems. You will create and execute workflow and data analytics test-cases and document issues and track progress of issue resolution.

You will also work with McKinsey’s internal product teams as well as third party planning solution providers to shape future solution roadmap based on client’s pain points and business requirements.

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 & Company's 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.

You will also have an opportunity to travel to client locations.

Your qualifications and skills

• 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
• Kinaxis, SAP/IBP, or o9 implementation and configuration experience required
• 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, TMS, WMS
• 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; understanding of both written and spoken English