Chief Supply Chain Strategist

1 day ago


Bengaluru, Karnataka, India beBeeOptimization Full time US$ 1,00,000 - US$ 1,50,000
Job Overview

A strategic role in Supply Chain Optimization involves developing cutting-edge intelligence solutions to drive exceptional guest experiences at the lowest cost. The ideal candidate will focus on creating industry leading supply chain planning and optimization systems running large-scale solves for complex optimization problems.

This is a data-focused position where you will use advanced analytical techniques, statistical knowledge, simulation and modelling skills to propel Targets Supply Chain. You will work closely with cross-functional teams including building operations, transportation, and technology to develop data-driven recommendations and implement solutions.

As part of the Global Supply Chain and Logistics team, this role is responsible for providing insights, leading strategy, and optimization-based initiatives to drive the efficiency of Targets overall supply chain network.

Key Responsibilities:

  • Analyse large volumes of granular supply chain data to develop key performance metrics across sales, transportation, operations, and inventory.
  • Conduct root cause analysis to identify key drivers of operational performance and variances from projected outcomes.
  • Collaborate with business to evaluate opportunities, quantify potential improvements, and define key focus areas for enhancing guest experience and cost efficiency in Targets supply chain management (SCM).
  • Apply mathematical modelling, simulation techniques, and statistical analysis to identify and solve complex supply chain challenges.
  • Work closely with cross-functional teams to develop data-driven recommendations and implement solutions.
  • Partner with product, analytical, and global supply chain teams to drive business objectives such as reducing shipping expenses, improving network speed, and optimizing inventory availability for various service levels.

Requirements:

  • Bachelor's/Master's degree in a quantitative discipline such as Engineering, Statistics, Operations Research, or Mathematics.
  • 8-10 years of relevant experience in retail/supply chain management.
  • Strong experience in solving business problems using data-driven analytical techniques.
  • Expertise in SQL, PySpark, and statistical tools such as R or Python for data analysis and building prototypes.
  • Understanding of algorithm analysis, computational complexity, and optimization techniques.


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