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Sr Inventory Optimization Manager


Sunnyvale, CA
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Job Description

Sr Inventory Optimization Manager(Job Number:SUP0007HC)

The Inventory Planning Control team is responsible for defining  and operating Target’s Inventory Planning and Control (IPC) systems and coming up with the overall inventory strategy. This team is responsible for defining the system that Inventory mangers will use to get recommended order quantity, strategizing how the company should manage its multi-echelon inventory network, implementing automated ordering, deciding how much inventory to buy, when to bring inventory into the Target network, and where to position it. The IPC team innovates and continuously improves processes that result in sophisticated, intelligent and self-learning models. This role will be within the Inventory Health pillar of IPC, specifically responsible for providing research and analysis to support initiatives to drive the efficiency of Target’s supply chain.   This role identifies and uses optimal statistical, simulation and modeling techniques to provide insight to its IPC team to deliver on IPC’s supply chain transformation objectives.

1. Understands Target’s supply chain data across dot com and store channels.
2. Based on data, learns the current status of supply chain and is able to align with the leadership vision for longer term strategy.
3. Works with other optimization managers to analyze opportunities, quantify scope for improvement and define core areas of focus to improve guest experience and cost to serve in Target’s supply chain.
4. Conducts mathematical modeling, simulation and statistical approaches to clearly define problems, build solutions and recommend next steps to the IPC lead team.
5. Builds root cause analysis and reporting to provide specificity/detail in analytical output(s) to drive deep understanding of the problems/defects and action across core process teams and partners.
6. Provides necessary information for and participates in pilot engagements to demonstrate business opportunities and ensures succession to standard process/practice where appropriate.
7. Works closely with data science and engineering teams to help deploy new algorithmic solutions to support inventory planning and control.
8. Has the passion to engage in deep analytical, algorithmic work while staying connected to the core business teams.

Reports to the Director of Analytics, Inventory Health.  Working relationships with EDABI (data analytics and business intelligence), technology solutions, product and business teams.

Location: Sunnyvale, CA or Bangalore, India


• MS/PhD in a quantitative disciple such as statistics, operations research, business analytics or mathematics
• 2 years of supply chain industry experience for candidates with MS, supply chain research experience for candidates with PhD
• Experience utilizing problem solving and analytical skills
• Familiarity with supply chain concepts such as forecasting, planning, optimization, and logistics - gained through work experience or graduate level education
• Familiarity with statistical tools such as SAS, R, SPSS and with scripting languages such as Python for analyzing data and building prototypes
• Knowledge of statistics and data mining techniques and tools to analyze and make insights from big data such as historical sales data and simulation/experiment results
• Technical aptitude for the design and use of complex logistics software systems
• A strong passion for empirical research and for answering hard questions with data
• Ability to communicate complex concepts in easy to understand terminology with multiple audiences.

Primary Location: United States-California-Sunnyvale
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