Distribution Planning Manager — Data-Driven Leader

Gap Inc.; San Francisco (CA); On-site; USD 108,000 - 140,000; Full time

Benefits offered by this job

Merchandise discount

Paid time off

Volunteer hours

401(k) plan with company match

Employee stock purchase plan

Medical, dental, vision & life ins.

Employee benefits

Job summary

Old Navy, part of Gap Inc., in San Francisco is seeking a Manager of Distribution Planning to lead allocation strategies and ensure store-level distribution aligns with broader product and financial plans. You will partner across merchandising, supply chain, and stores to translate data into actionable distribution decisions and optimize in-season replenishment.

You will design initial release strategies, analyze large datasets, and develop reports to inform recommendations while collaborating

Qualifications

• Display expert analysis and problem-solving skills, driving for innovative approaches to meet objectives with speed and conviction
• Demonstrate analytical and problem-solving capabilities
• Comfortable with complex systems and large data sets
• Ability to assess relatively complex situations and analyze data to make judgments and recommend solutions

Responsibilities

• Strategize with cross functional teams and leaders to design initial release strategies; ensure consistent and profitable in season replenishment
• Drive business and systems strategy, develop requirements, and implement practical business solutions
• Work ranges from tactical execution, statistical data analysis, preparation and population of reports, and interpretation/summary of findings to inform recommendations

Skills

Analytical thinking

Analytical skills

Data analysis

Data-driven decision making

Job description

Old Navy, part of Gap Inc., in San Francisco is seeking a Manager of Distribution Planning to lead allocation strategies and ensure store-level distribution aligns with broader product and financial plans. You will partner across merchandising, supply chain, and stores to translate data into actionable distribution decisions and optimize in-season replenishment.

You will design initial release strategies, analyze large datasets, and develop reports to inform recommendations while collaborating