Walmart-posted 3 months ago
$110,000 - $220,000/Yr
Full-time • Mid Level
Bentonville, AR
General Merchandise Retailers

If you're passionate about building scalable data solutions, have a strong foundation in data governance and privacy, and thrive in a collaborative, cross-functional environment, this is the role for you! This is an opportunity to take ownership of meaningful challenges, grow alongside a supportive team, and change the future of healthcare. We are the Digital Business Services segment of the Consumer Health and Data Solutions Team at Walmart. Our team includes customer identity and business analytics to support health and wellness lines of business. We drive scalable data solutions across Walmart Health and Wellness to harness data-driven insights, improve patient engagement, and drive innovation across the health journey. This role is based in Bentonville, AR and will report to the Senior Director of Data Analytics.

  • Lead the design, development, and governance of certified datasets and data models
  • Implement data stewardship frameworks and privacy analytics strategies
  • Ensure data quality, security, and compliance with regulatory standards such as GDPR and HIPAA
  • Design and apply de-identification, tokenization, and data masking techniques to protect sensitive information
  • Collaborate with product, legal, engineering, and domain experts to develop scalable, secure, and ethical data solutions
  • Drive innovation in data architecture to support business intelligence and analytics
  • Create documentation for data governance and privacy practices
  • Establish and enforce data governance policies and compliance protocols
  • Mentor junior analysts and contribute to the growth of the data analytics team
  • Experience in e-commerce/omnichannel retail or health data, with a focus on data modeling and privacy
  • Experience leading large-scale data analytics or engineering projects
  • Strong understanding of data modeling, warehousing, and real-time/batch data processing pipelines
  • Expertise in de-identification, tokenization, and data masking techniques
  • Deep knowledge of data governance, data quality frameworks, and regulatory requirements (e.g., GDPR, HIPAA)
  • Proven experience in data governance, privacy analytics, and data stewardship
  • Proven track record of delivering high-quality data pipelines and models aligned with business needs
  • Experience with modern data platforms, tools, and technologies
  • Demonstrated success in leading distributed development or analytics teams
  • PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics
  • 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
  • 401(k) match
  • Stock purchase plan
  • Paid maternity and parental leave
  • PTO
  • Multiple health plans
  • 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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