(usa) Senior Manager, Data Science - Cvp Strategy & Modeling

Walmart Walmart · Retail · Bentonville, AR

This role focuses on leveraging AI-enabled tools to accelerate analysis and provide thought leadership on how AI can support Customer Value Proposition (CVP) strategy within Walmart's fulfillment network. The Senior Manager will conduct data-driven insights and modeling to optimize promise speed, translate complex analyses into executive-ready narratives, and partner with cross-functional teams to articulate and execute CVP strategy. The role requires a strong data science, modeling, and analytical skillset, with an understanding of fulfillment networks and customer experience tradeoffs.

What you'd actually do

  1. Partner with cross‑functional teams to articulate our CVP strategy and bring it to life.
  2. Conduct analyses to quantify the value of speed and inform prioritization across initiatives, assets, and markets.
  3. Translate analytical insights into executive‑ready content for leadership forums such as MSM, ESM, and FOX.
  4. Support consistency and clarity of messaging across teams by aligning assumptions, metrics, and narratives.
  5. Lead deep‑dive analyses on priority topics, including market‑level ecosystem speed and asset impact assessments.

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 OR Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field OR 7 years' experience in an analytics or related field
  • Strong data science, modeling, and analytical skillset
  • Understanding of fulfillment networks, demand dynamics, and customer experience tradeoffs
  • Ability to synthesize complex analyses into clear, compelling narratives for senior audiences
  • Experience partnering cross‑functionally to influence strategic decisions
  • Comfort operating in ambiguous problem spaces with evolving priorities

Nice to have

  • Data science
  • machine learning
  • optimization models
  • PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics
  • Successful completion of one or more assessments in Python, Spark, Scala, or R
  • Supervisory experience
  • Using

What the JD emphasized

  • AI-enabled tools

Other signals

  • Leverage AI-enabled tools to accelerate analysis
  • provide thought leadership on where AI can best support CVP strategy
  • Strong data science, modeling, and analytical skillset
  • Understanding of fulfillment networks, demand dynamics, and customer experience tradeoffs
  • Ability to synthesize complex analyses into clear, compelling narratives for senior audiences