(usa) Senior Manager, Data Science - Strategic Execution

Walmart Walmart · Retail · Bentonville, AR

This role focuses on translating multi-year fulfillment strategy into actionable plans and coordinated execution across the Fulfillment ecosystem, ensuring initiatives progress in line with FY27 CVP goals. The Senior Manager, Data Science – Strategic Execution will partner with cross-functional teams to support execution of in-year fulfillment initiatives, translate strategic priorities into execution plans, provide analytical and planning support, establish feedback loops, leverage AI-enabled insights, and support cross-functional forums with data-driven insights.

What you'd actually do

  1. Partner with cross‑functional teams to support execution of in‑year fulfillment initiatives such as peak pop‑ups, Sortable definition updates, Same Day FC pilots, reaches expansion, new FC ramps, and more.
  2. Translate strategic priorities into execution plans by supporting assortment decisions, ramp planning, WFE configurations and decisioning, and exit strategies.
  3. Provide analytical and planning support to working teams to ensure initiatives stay aligned to CVP goals.
  4. Establish feedback loops between execution and strategy teams to inform future planning and prioritization reflects the learnings of the business.
  5. Leverage AI‑enabled insights to improve KPI visibility, identify root cause when deviating from plan, and track performance.

Skills

Required

  • Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field.
  • Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field.
  • 7 years' experience in an analytics or related field.
  • Strong analytical and data science background with experience supporting operational execution.
  • Solid understanding of fulfillment operations, inventory flow, and network dynamics.
  • Ability to work effectively across matrixed teams and influence without direct ownership.
  • Experience translating strategy into practical, executable plans.
  • Clear communication skills and comfort operating in fast-paced, cross-functional environments.

Nice to have

  • Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics.