Senior Data Enablement Manager - Returns Analytics

Walmart; Bentonville (AR); On-site; USD 140,000 - 190,000; Full time

Job summary

Walmart is seeking a Sr. Manager of Data Enablement (Returns) within the Customer Engagement Services (CES) data/analytics area.

The role focuses on building a scalable data foundation, trusted data structures, and actionable insights to guide Returns decisions and reduce costs. You will partner with analytics, product and data engineering to standardize definitions, optimize pipelines, and enable self‑service analytics across the organization.

Qualifications

• Bachelor’s degree in Data Analytics, Data Science, Engineering, Statistics, or related field.
• 5+ years of experience in data enablement, data modeling, analytics engineering, or related roles.
• Strong experience working in highly cross‑functional environments.
• Experience supporting product, operations, or customer experience domains (Returns experience preferred).
• Deep expertise in data modeling.

Responsibilities

• Design scalable data models for Returns analytics, reporting and insight generation.
• Develop a trusted data foundation powering dashboards and self‑service analytics.
• Collaborate with Data Engineering and Analytics to improve data pipelines and data latency.
• Define data governance standards, lineage and quality controls for Returns data.
• Enable analytics that drive insights into returns drivers and operational improvements.
• Continuously improve data structures and enablement capabilities with emerging technologies.

Skills

Data modeling

Analytics engineering

Cross-functional collaboration

Education

Bachelor’s degree related field

Master’s degree preferred

Job description

Walmart is seeking a Sr. Manager of Data Enablement (Returns) within the Customer Engagement Services (CES) data/analytics area.

The role focuses on building a scalable data foundation, trusted data structures, and actionable insights to guide Returns decisions and reduce costs. You will partner with analytics, product and data engineering to standardize definitions, optimize pipelines, and enable self‑service analytics across the organization.