Position Summary...We are seeking a highly skilled and hands-on Sr. Manager of Data Enablement to lead the development of a robust data foundation for the Returns business within Customer Engagement Services (CES). This role will focus on designing scalable data models, enabling trusted data structures, and accelerating actionable insights that guide business decisions and measure impact.
As a key partner across analytics, product, and data engineering teams, this role will translate complex business needs into structured data solutions-ensuring data is reliable, accessible, and optimized for reporting, analytics, and insight generation. This position plays a critical role in enabling a single source of truth and driving measurable improvements in customer experience, cost reduction, and operational efficiency.
What you'll do...Data Foundation & Modeling (Returns Focus)- Design and build scalable, standardized data models to support Returns analytics, reporting, and insight generation.
- Establish clean, structured datasets that enable consistent KPI tracking (e.g., returns rate, defect drivers, cost impacts).
- Ensure data structures are extensible to support future business needs and additional use cases.
Data Enablement & Single Source of Truth - Develop and maintain a trusted data foundation that powers dashboards, reporting, and advanced analytics.
- Eliminate data inconsistencies by aligning definitions, metrics, and sources across teams.
- Enable a unified data layer that supports self-service analytics and reduces manual data validation work.
Partnership with Data Engineering & Analytics - Work closely with Data Engineering to define data requirements, optimize pipelines, and improve data latency and reliability.
- Collaborate with analytics teams to ensure data models support business questions, root cause analysis, and actionable insights.
- Translate business requirements into scalable data solutions and technical specifications.
Data Governance & Quality - Define and enforce data governance standards, including metric definitions, lineage, and quality controls.
- Ensure Returns data is accurate, consistent, and decision-ready across reporting and analytics use cases.
- Proactively identify and resolve data gaps or inconsistencies.
Business Impact & Insight Enablement - Enable analytics that identify key drivers of returns, customer pain points, and operational inefficiencies.
- Support measurement frameworks to evaluate impact of business initiatives (e.g., return reduction, policy changes, self-service improvements).
- Partner with stakeholders to ensure data outputs translate into actionable business decisions.
Continuous Improvement & Innovation - Continuously improve data structures, processes, and enablement capabilities to reduce time-to-insight.
- Leverage emerging technologies (e.g., GenAI, automation) to enhance data accessibility and insight generation.
- Identify opportunities to scale data solutions across CES and broader Walmart use cases.
What you'll bring: Education: - Bachelor's degree in Data Analytics, Data Science, Engineering, Statistics, or related field; Master's preferred.
Experience: - 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)
Technical & Functional Skills: - Deep expertise in data modeling, data structures, and scalable data architecture
- Strong experience with SQL/AI Coding tool and working with large-scale data platforms
- Experience partnering with Data Engineering on pipelines, ETL processes, and data optimization
- Strong understanding of data governance, quality frameworks, and best practices
Business & Communication Skills: - Strong business acumen with ability to connect data solutions to measurable outcomes
- Ability to translate complex data concepts into clear, actionable insights
- Excellent stakeholder management and cross-functional collaboration skills
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 responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.
Minimum Qualifications...Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 4 years' experience in data analysis, data science, statistics, or related field. Option 2: Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in data analysis, data science, statistics, or related field. Option 3: 6 years' experience in data analysis, data science, statistics, or related field.
1 year's supervisory experience.
Preferred Qualifications...Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Data science, data analysis, statistics, or related field, Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field, Related industry experience (for example, retail, merchandising, healthcare, eCommerce), Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau), Supervisory experience
Primary Location...805 Respect, Bentonville, AR 72716, United States of America
Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.
