Senior Manager, Data Analytics (supplier Finance Data Strategy)

Walmart Walmart · Retail · Bentonville, AR

Senior Manager role focused on data strategy for supplier finance initiatives, aiming to enhance supplier financing programs through data modeling, analytics, and AI/ML integration. The role involves cross-functional collaboration, data quality assessment, and building data products to drive business outcomes.

What you'd actually do

  1. Lead the data strategy for supplier finance initiatives, identifying and activating key data sources to enable scalable program growth
  2. Partner cross-functionally with technology, merchandising, Accounts Payable, and supply chain teams to define data requirements and priorities
  3. Assess and improve data quality, integrity, and completeness across multiple enterprise systems
  4. Design and build data models and analytics frameworks supporting trade flows, invoicing, and payment cycles
  5. Leverage advanced analytics, AI/ML, and automation to improve forecasting accuracy, scalability, and operational efficiency

Skills

Required

  • Bachelor's degree in Finance, Accounting, Economics, Data Analytics, or a related field
  • 8+ years of experience in data analytics, finance, treasury, or related areas with a strong data-driven focus
  • Strong financial acumen, including knowledge of lending principles, credit risk, and working capital dynamics
  • Experience with retail and financial processes such as order management, invoicing, and payment workflows
  • Proven ability to assess and manage data quality across complex, interconnected systems
  • Demonstrated success influencing cross-functional stakeholders across business and technology teams
  • Hands-on experience building data models, analytics solutions, or data products with measurable impact
  • Proficiency in tools such as SQL, Python, Power BI, Tableau, or similar analytics platforms
  • Familiarity with enterprise systems (e.g., SAP)
  • 1 year's supervisory experience

Nice to have

  • applying AI/ML or automation to analytics workflows

What the JD emphasized

  • AI/ML
  • data quality