DirecciónYou will be based in our Madrid, Lisbon or Wroclaw office, working as part of MSC-X : the analytics wing of McKinsey & Company's Manufacturing and Supply Chain practice.
You will work directly with McKinsey project teams, system architects, partners, and clients across regions and sectors on complex Supply Chain planning problems.
You will also have opportunities to travel to client locations to directly support our clients and client service teams in designing and implementing 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, specializing in SAP IBP and Kinaxis software implementations, advanced planning analytics, and machine learning solutions.
As part of your role, you will build relationships with our clients through cross-functional Supply Chain consulting projects.
These projects will include aggregating and managing data to support Supply Chain software implementation and maintenance.
You will support implementation efforts with advanced analytics, project planning, communication, and tactical assistance around SAP IBP and / or Kinaxis modules of sales & operations planning, demand, inventory, and supply & response.
You will utilize data collection tools and analytics methodology for advanced Supply Chain analysis. You will interpret data around Supply Chain trends, optimization, and forecasting related to performance metrics and potential recommendations to clients.
You will collaborate with project leads, system architects, partners, and client teams to identify data best practices, develop success criteria, and optimize new reports features and models.
You will also work with McKinsey’s internal product teams as well as third-party planning solution providers to shape future solution roadmaps based on the client’s pain points and business requirements.
- Undergraduate degree in science, engineering, mathematics, or business; or master’s degree in Supply Chain optimization / operation research / industrial engineering is preferred
- 2+ years of experience in Supply Chain or a related field
- SAP IBP / APO, Kinaxis, Blue Yonder or o9 experience is required
- Good understanding of Supply Chain planning and demand planning, inventory optimization, or operational Supply Chain fundamentals
- Familiarity with Supply Chain data and Supply Chain data systems
- Familiarity with tech implementation and solution deployment
- 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
- Strong written and verbal communication skills in English
