Position Summary...This is a leader within Merch Data & Analytics Enablement (MDAE), responsible for building and scaling analytics capabilities, data products, and governance solutions across Demand, Assortment, Space, and Inventory.
This role sits at the intersection of merchandising strategy, data, analytics, and technology. You will lead a multidisciplinary team of product managers, data stewards, and analysts, while remaining deeply hands-on: shaping solutions, reviewing designs, and, building scrappy prototypes yourself when needed.
You will partner closely with Merchandising business teams, Product, Engineering, and Enterprise Data teams to translate complex merchandising problems into scalable, trusted, and automated data and analytics solutions that power decision-making, enable AI-driven workflows, and advance Merchandising Transformation.
What you'll do...Lead strategy, execution, and delivery - Own the product and program strategy for analytics capabilities, data products, and governance solutions across Demand, Assortment, Space, and Inventory.
- Translate merchandising priorities into a clear roadmap of data products, platforms, metrics, and inspection mechanisms that deliver measurable business impact.
- Drive initiatives from concept to customer, balancing speed, quality, and long-term scalability.
- Build "scrappy" solutions and proofs of concept where needed, while also guiding teams toward durable, enterprise-ready architectures.
Be a hands-on technical and analytical leader - Maintain strong technical depth to review solution designs, data models, metrics, and analytics approaches.
- Partner with engineers and analysts to design scalable data pipelines, semantic layers, and reusable analytics assets.
- Apply structured problem-solving and analytical techniques (e.g., DMAIC, Design Thinking, experimentation, optimization) to ambiguous, high-impact merchandising problems.
- Use data storytelling to clearly communicate insights, tradeoffs, and recommendations to senior and executive stakeholders.
Build and lead high-performing teams - Lead, mentor, and develop a team of product managers, stewards, and analysts, setting a high bar for craftsmanship, ownership, and impact.
- Establish best practices for product management, analytics delivery, data stewardship, and governance.
- Create an environment where associates are empowered to operate independently while staying aligned to shared goals and standards.
- Actively coach leaders and individual contributors on structured thinking, prioritization, and stakeholder influence.
Partner across Merchandising and Technology - Serve as a trusted thought partner to Merchandising leaders, helping articulate business needs, frame problem statements, and define success metrics.
- Collaborate with Engineering, Enterprise Data Strategy, and platform teams to ensure solutions align with enterprise standards while meeting merchandising needs.
- Influence roadmaps across teams to drive convergence, reduce duplication, and improve speed-to-value.
Advance Merchandising Transformation - Help shift Merchandising from reactive reporting to proactive, automated, and insight-driven decision-making.
- Champion consistent, trusted metrics and governance that increase confidence in data and reduce friction for associates.
- Enable AI-driven and agentic workflows by ensuring data foundations, context, and quality are fit for automation at scale.
What you'll bring..
- Building scalable analytics and data products that directly improve merchant decision-making across Demand, Assortment, Space, and Inventory.
- Driving adoption of governed metrics and shared data assets that increase trust and consistency across the enterprise.
- Delivering insights that improve availability, reduce markdowns, optimize inventory, enhance customer experience and integrate external data into workflows
- Developing leaders and teams that consistently deliver high-quality, high-impact solutions.
- Have strong business acumen in retail merchandising, with the ability to connect data and analytics to real-world merchant decisions.
- Are structured in your thinking and apply disciplined problem-solving to complex, ambiguous problems.
- Take a hands-on approach: you're comfortable diving into data, reviewing SQL, challenging models, or building prototypes when needed.
- Can balance strategic leadership with execution, knowing when to zoom out and when to roll up your sleeves.
- Communicate complex technical and analytical concepts with clarity to non-technical audiences, including executives.
- Have experience defining and operationalizing enterprise-level metrics, KPIs, and governance models.
- Are adept at technical and business writing, including strategy documents, design reviews, and executive communications.
- Are curious, resourceful, and biased toward action.
- Lead with humility, empathy, and accountability: developing people while holding a high bar for outcomes.
At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.
For information about PTO, see
Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
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 $130,000.00 - $260,000.00
Additional compensation includes annual or quarterly performance bonuses.
Additional compensation for certain positions may also include :
- Stock
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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 computer science, information technology, engineering, or related area and 7 years' experience in engineering, engineering program management, technical program management, product management, or related area.
Option 2: 9 years' experience in engineering, engineering program management, technical program management, product management, or related area.
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, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, 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...601 Respect Dr, 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.
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