AddressYou will be a part of Manufacturing and Supply Chain (MSC-X), the analytics wing of McKinsey & Company's MSC practice, and will work directly with Indian client project teams on supply chain and integrated business planning related issues of McKinsey’s clients from various industry verticals.
You will focus on three main aspects amongst others: E2E supply chain planning (S&OP / IBP) quick & deep dive diagnostics with analytics, supply process design, and planning transformations & implementations. Next to McKinsey you will be working with our collaboration companies/software vendors of advanced planning solutions.
You will be working hands on with clients in need of supply chain solutions across different industries and geographical regions. This is a chance for you to come and be part of the future of integrated business planning.
You will be based in Gurugram/Chennai and will travel frequently to serve clients onsite.
You will spend a significant part of your time (>70-80%) working with the Manufacturing and Supply Chain (MSC-X) practice and consulting teams in McKinsey to design and implement advanced digital integrated planning solutions and demonstrate thorough solution of industry best practices, business process, Advanced Planning Solutions (APS) technical architecture and value proposition.
You will participate in the complete lifecycle of a project from design to delivery of APS solutions to customers across industries and geographies and gather understanding of our customer’s requirements by participating in workshops with functional and business owners of the processes and documenting it.
As part of your role, you will work closely with architects to develop clear functional and technical design and document data requirements and build complex datasets, as well as configure the APS platform based on the blueprint laid out during design to solve deep operations/supply chain problems. You will also create and execute workflow and data analytics test-cases and document issues and track progress of issue resolution.
You will be in the lead of the more junior system configurators (Delivery Analysts), taking care of day- to-day support, and review quality of work. You will also play a lead role towards clients.
You will play the role of a Support Super User and End User training, for a global user base, actively helping to improve internal processes and product features based on customer feedback by interfacing with the development and operations teams' qualifications.
- Post-graduate degree in operations management, statistics, or industrial engineering, with a strong quantitative underpinning
- 3+ years of experience with implementing planning applications like O9 and SAP IBP is a must, with demand or supply planning focus
- Additionally, exposure to Kinaxis / Blue Yonder / E2Open / OMP / Anaplan / Riverlogic / AIMMS is a plus
- Experience on working with clients, translating business requirements to technical features and integration accordingly
- Deep understanding of supply chain planning concepts including Distribution Planning, Master Planning, S&OP, Heuristic/Optimization based supply chain solvers
- Statistical, Optimization and Simulation skills through software tools and packages like R, SAS, CPLEX or similar is desirable
- Understand concepts of history cleansing, customer segmentation, statistical forecast algorithms and their uses, forecast errors, consensus planning and S&OP process. (for demand planning)
- Knowledge and training in databases (SQL Server, MySQL) and skills one or more languages like SQL, MDX, T-SQL or similar is desirable
- Proficient in the use of Microsoft Excel/PowerPoint for analysis and presentation
- Strong ability to lead by example and demonstrate proficiency in both product and domain
- Patient listener with the ability clearly articulate your view point to manage and deliver to customer expectations, even under pressure
- Ability to analyze and process large amounts of data and complement it with intuition to prioritize and focus on the highest value opportunities or the biggest risks is key
