
Chief Supply Chain Strategist
1 day ago
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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