Company

McKinsey & CompanySee more

addressAddressBrisbane, QLD
CategoryManagement

Job description

Who You'll Work With

You will join one of our McKinsey Gurugram/Chennai offices as a part of the Manufacturing and Supply Chain team (MSC-X), the analytics wing of McKinsey & Company's Operations practice, that focuses on deeply tech-enabling our client service. MSC-X comprises an ecosystem of customizable, web-based digital tools that turbocharge McKinsey diagnostics while serving as a platform on which clients can digitize their plants and production environments to improve performance. Our open-source technology allows groups to capitalize on existing modules and use pre-built benchmarking infrastructure. You will work directly with our clients and McKinsey colleagues to deploy our digital capabilities and ensure we bring tangible, lasting impact to clients. 

Our client project teams work with major global organizations across multiple industries to solve their most challenging problems. In most cases, this means working on site, directly with client engineering groups. Additionally, you will work with internal product development teams to ensure we optimize our capabilities and constantly innovate.

What You'll Do

You will spend a significant part of your time solving complex client problems in the Supply Chain domain, specializing in digital Supply Chain Planning supported by SCM Connections. You will work in teams to collaborate with our clients to define new organizational structures, roles and processes across global organizations. This includes gathering and analyzing information, formulating, and testing hypotheses, and developing recommendations for presentation to client management. 

You will make a meaningful, hands-on contribution to the analysis, design, and implementation of business performance approaches, developing tailor-made solutions and working closely with clients to ensure positive impact and sustainable results. In this exciting collaborative culture, you will not only have the opportunity to work directly with clients, you will also share your expertise and insights with colleagues globally, thereby expanding our knowledge and refining our approaches in the Manufacturing & Supply Chain field. 

In addition to client-facing responsibilities, you will also help to configure and deploy supply chain planning systems (e.g., O9, Kinaxis, SAP IBP, etc.) at various clients and facilitate the data integration of clients’ legacy systems and advanced planning solution. You will define and coordinate the execution of user acceptance testing (UAT) and created tailored, comprehensive training documentation to assist with change management. 

Additionally, you will help to enhance the collective firm knowledge with regards to supply chain technology, contributing to our knowledge base and helping to create new offerings to be deployed at clients. Projects may include leading the deployment of supply chain planning solutions at clients, assisting clients with selection of technology for supply chain planning, stochastic simulation of inventory levels with the objective of creating a robust inventory policy, and conducting diagnostics on supply chain health and performance for our clients. You will use your expertise to drive change in system and help guide clients on their digital supply chain journeys, as well as improvements to the overall execution of the supply chain. 

Qualifications
  • Post-graduate degree in operations management, statistics, or industrial engineering, with a strong quantitative underpinning
  • 8+ years’ experience in a client-facing consulting role configuring and deploying supply chain planning systems such as O9, SAP IBP, Kinaxis, Blue Yonder, E2Open, OMP, Anaplan, etc.
  • Good understanding of data requirements for advanced planning systems and the technical requirements for data integration and optimization 
  • Experience in leading a technical team on Solution Delivery
  • Experience with agile and scrum methodologies and/or familiarities with common ERP systems (e.g., SAP) preferred
  • Statistical, optimization and simulation skills through software tools and packages like R, SAS, CPLEX or similar is desirable
  • Knowledge and training in databases (SQL Server, MySQL) and skills one or more languages like SQL, MDX, T-SQL or similar is desirable
  • Ability to work collaboratively in a team environment and work effectively with people at all levels in an organization
  • Skills to communicate complex ideas effectively
  • Demonstrated aptitude for analytics
  • Comfortable with extensive travel, up to 80%
Refer code: 1332087. McKinsey & Company - The previous day - 2024-01-25 20:17

McKinsey & Company

Brisbane, QLD
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