Walmart-posted 3 months ago
$80,000 - $155,000/Yr
Full-time • Senior
Bentonville, AR
General Merchandise Retailers

We are seeking a skilled and experienced Senior, Data Steward to join our Merchandising Data Enablement team at Walmart. In this role, you will be responsible for understanding the business value and relevance of data and data-enabled insights/decisions. You will collaborate closely with data providers, engineering teams, and business stakeholders to ensure the best data assets are selected, enriched, and made available for Merchandising needs. Your knowledge in assortment and space decisions will be key to ensure the right data fuels decision-making and innovation. You will have an understanding of the data ecosystem, including data management, data quality standards, data governance, accessibility, storage, and scalability. Additionally, you should have an understanding of the methods and applications that unlock the monetary value of data assets.

  • Understand, articulate, interpret and apply the principles of our defined strategy to unique, moderately complex business problems that may span multiple functions or domains.
  • Responsible for data source identification, data governance, data quality management, and master data and metadata management.
  • Identify suitable data sources, perform data quality checks, establish and implement data governance practices, manage data quality issues, and maintain master data and metadata.
  • Provide recommendations to business stakeholders to solve complex business issues, develop business cases for projects, and translate business requirements into projects, activities, and tasks aligned with the overall business strategy.
  • Contribute to the expansion and governance of Walmart's AI data agents including Wally, by implementing trusted, scalable data strategies that enhance transparency, accuracy, and user experience.
  • Understanding of organization's needs and ability to drive change.
  • Leadership and communication skills as well as the ability to influence key decision-makers and understand their points of view.
  • Must be able to work effectively both on teams as well as be self-motivated, task oriented, and organized.
  • Experience with data analysis, data documentation, data quality monitoring and improvement, including SQL experience.
  • Customer focus and obsession with quality.
  • Ability to work in a fast-paced and agile development environment.
  • Data Management certification (for example, Certified Data Management Professional).
  • Driving taxonomy development and application particularly with large and complex sets of information.
  • Industry experience (for example, retail, supply chain, eCommerce, healthcare).
  • Master's degree in Mathematics, Finance, Computer Science, Data Architecture, Business Administration, Information Systems, or Statistics.
  • 401(k) match
  • Stock purchase plan
  • Paid maternity and parental leave
  • PTO
  • Multiple health plans
  • Performance-based bonus awards
  • Medical, vision and dental coverage
  • Company-paid life insurance
  • Short-term and long-term disability
  • Company discounts
  • Military Leave Pay
  • Adoption and surrogacy expense reimbursement
  • Live Better U education benefit program
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