Senior Manager, Tech Ops & Analytics – Post-Purchase Strategy

Walmart; Hoboken (NJ); On-site; USD 108,000 - 216,000; Full time

Benefits offered by this job

Health benefits

Live Better U – 100% tuition coverage

401(k) and stock purchase plans

Paid time off and family leave

Job summary

Walmart seeks a strategic, analytically strong problem solver to shape decisions across Marketplace post-purchase, blending strategy, analytics, operations, product, and customer experience. You will diagnose root causes, translate findings into executive-ready recommendations, and influence product and policy directions.

You will partner with Product, Operations, Finance, Data Science, and Engineering to turn insights into actions across returns, refunds, cancellations, and logistics.

Qualifications

• Bachelor's degree in a related field and 5 years of PM/ program/ operations experience.
• OR 7 years' experience with 2 years supervisory experience.
• Strong analytical skills and ability to translate data into recommendations.

Responsibilities

• Own high-impact business problems from question to recommendation and execution.
• Develop hypotheses and analytical frameworks for structured analyses.
• Launch new product features and capabilities.
• Use data to uncover trends, root causes, and opportunities; quantify tradeoffs.
• Write SQL and analyze large datasets independently.
• Build business cases and size opportunities (financial, operational, customer, seller).
• Partner with Product, Operations, Finance, Data Science, and Engineering to drive changes.

Skills

SQL

Data analysis

Structured problem solving

Executive communication

Cross-functional work

Education

Bachelor's degree in CS/IS/Engineering/Bus/Finance

5+ years PM/ops/program mgmt experience

Tools

SQL tools

Tableau/Power BI

Job description

Walmart seeks a strategic, analytically strong problem solver to shape decisions across Marketplace post-purchase, blending strategy, analytics, operations, product, and customer experience. You will diagnose root causes, translate findings into executive-ready recommendations, and influence product and policy directions.

You will partner with Product, Operations, Finance, Data Science, and Engineering to turn insights into actions across returns, refunds, cancellations, and logistics.