Director, Advanced Analytics- Pricing Data, Merchandise Excellence

WalmartBentonville, AR
2d$110,000 - $220,000

About The Position

Want to shape the future of omni-channel pricing at scale while driving industry-leading EDLP strategy? The Director of Pricing Data – Merchandise Excellence is a highly strategic leadership role responsible for defining and executing the long-term vision for pricing data, analytics, and capabilities across all merchandising business units. Sitting at the intersection of customer expectations, enterprise data strategy, business transformation, and technology innovation, you will lead the development of foundational data ecosystems that power Walmart’s omni-channel pricing advantage. This role goes beyond execution—requiring enterprise-level thinking, organizational influence, and the ability to architect scalable solutions that unlock competitive differentiation. You will lead high-performing teams and cross-functional partnerships to reimagine how pricing data is structured, governed, and leveraged to deliver best-in-class customer value through EDLP. Reporting to the Senior Director, Pricing Data – Merchandise Excellence, you will set strategic direction, influence executive decision-making, and ensure alignment between data, product, and business strategies. What you'll do... You’re a strategic visionary: You anticipate where retail, customer expectations, and pricing intelligence are headed—and translate that into a multi-year roadmap that positions Walmart ahead of the competition. You’re an enterprise leader: You’ve led large-scale transformations, aligning multiple business units, product teams, and technology organizations around a unified data and analytics strategy. You influence at the highest level: You build trust with senior executives and drive alignment across complex stakeholder groups through clear, compelling storytelling and business cases. You architect modern data ecosystems: Deep expertise in scalable data architecture, cloud platforms (e.g., BigQuery, Snowflake), and data product design that enables high-performance, enterprise-wide analytics. You turn complexity into clarity: You simplify highly complex data environments into actionable insights, scalable tools, and business-ready capabilities that drive measurable impact. You develop world-class talent: You build, mentor, and lead high-performing teams while fostering a culture of innovation, accountability, and continuous improvement. You are fluent across data, product, and business: You seamlessly connect technical solutions with business value, partnering effectively with data science, engineering, merchandising, and product teams. What you'll bring.. You anticipate where retail, customer expectations, and pricing intelligence are headed—and translate that into a multi-year roadmap that positions Walmart ahead of the competition. You’ve led large-scale transformations, aligning multiple business units, product teams, and technology organizations around a unified data and analytics strategy. You build trust with senior executives and drive alignment across complex stakeholder groups through clear, compelling storytelling and business cases. Deep expertise in scalable data architecture, cloud platforms (e.g., BigQuery, Snowflake), and data product design that enables high-performance, enterprise-wide analytics. You simplify highly complex data environments into actionable insights, scalable tools, and business-ready capabilities that drive measurable impact. You build, mentor, and lead high-performing teams while fostering a culture of innovation, accountability, and continuous improvement. You seamlessly connect technical solutions with business value, partnering effectively with data science, engineering, merchandising, and product teams.

Requirements

  • Bachelor’s degree in Business, Finance, Accounting, Statistics, or related field and 5 years' experience in data analytics or related field OR 7 years' experience in data analytics or related field.
  • 4 years' supervisory experience OR experience leading cross-functional teams

Nice To Haves

  • Cluster analysis techniques, simulation, inferential statistics, neural networks, or data mining techniques
  • Masters: Business Administration
  • Masters: Information Systems
  • Masters: Statistics

Benefits

  • 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 https://one.walmart.com/notices.
  • 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 $110,000.00 - $220,000.00
  • Additional compensation includes annual or quarterly performance bonuses.
  • Additional compensation for certain positions may also include : - Stock
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