Senior Manager, Data Science - Strategic Execution

Position Summary

As Senior Manager, Data Science – Strategic Execution, you will bring our Customer Value Proposition to life by enabling in‑year strategic fulfillment priorities alongside Operations, Supply Chain, Merchandising, WFS, Engineering, and Last Mile Delivery teams. 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 Fulfillment Strategy and Optimization team designs our Fulfillment network (assets and capabilities), optimizes our inventory flow strategy between assets, and partners across Walmart to bridge strategy and execution. This role plays a critical connective function, ensuring strategic intent is reflected in daily execution while creating feedback loops that informs longer‑term planning.

• 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.

• Translate strategic priorities into execution plans by supporting assortment decisions, ramp planning, WFE configurations and decisioning, and exit strategies.

• Provide analytical and planning support to working teams to ensure initiatives stay aligned to CVP goals.

• Establish feedback loops between execution and strategy teams to inform future planning and prioritization reflects the learnings of the business.

• Leverage AI‑enabled insights to improve KPI visibility, identify root cause when deviating from plan, and track performance.

• Support cross‑functional forums with clear, data‑driven insights on progress, risks, and tradeoffs.

• 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.

The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.

Benefits & Perks: Beyond competitive pay, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.

For information about benefits and eligibility, see One.

Walmart ().

The annual salary range for this position is $ - $ Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
Stock

Option 1:
Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field. Option 2:
Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 years' experience in an analytics or related field.

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 open source frameworks (for example, scikit learn, tensor flow, torch), We value candidates with a background in creating inclusive…