(usa) Senior Manager, Technical Program Management - Supply Chain Solutions

Walmart Walmart · Retail · Bentonville, AR

This role focuses on defining and implementing strategies for product provenance, origin, and traceability within Walmart's supply chain and catalog data. The Senior Manager will act as a platform and capability owner, shaping core concepts, data patterns, and adoption paths for cross-functional initiatives. The role requires bridging business, product, and technical teams to ensure consistency, defensibility, and reusability of these signals across various enterprise programs.

What you'd actually do

  1. Act as the primary point of contact for teams that need traceability, origin, or location signals to support operations, compliance, trade, or reporting.
  2. Define how traceability, origin, and location should be represented (what it means, where it applies, how it changes over time, and how it’s joined to item identity).
  3. Establish repeatable onboarding patterns and common definitions so teams can adopt shared provenance capabilities instead of building one-off solutions.
  4. Define success metrics and track progress in a way that stands up in leadership reviews (coverage, data quality, adoption in key workflows, reduced manual reconciliation).
  5. Collaborate with other Catalog Intelligent Solutions leaders on how provenance capabilities fit into the broader platform landscape.

Skills

Required

  • Experience leading cross-functional initiatives involving data, platforms, and complex stakeholder alignment.
  • Demonstrated ability to translate business needs into clear requirements, definitions, and measurable outcomes.
  • Bachelor’s degree in Business, Engineering, Computer Science, Information Systems, or related field (or equivalent experience).
  • 6+ years of experience in technical program management, product management, or equivalent roles bridging business and technology.

Nice to have

  • Experience with large product-based datasets (catalogs, item files) and/or operational supply chain data.
  • Familiarity with traceability/location signals, upstream documentation flows, origin-related concepts, or compliance-adjacent data programs.
  • Comfort working with data teams and structured analytics (e.g., able to reason in SQL/Python, sampling, reconciliation, data quality measurement).
  • Experience scaling a shared capability across multiple teams, workflows, or domains—driving adoption, consistency, and measurable value.

What the JD emphasized

  • provenance and defensibility matter
  • reusable at enterprise scale
  • avoiding one-off logic
  • preventing “two answers” problems
  • traceability/origin needs
  • traceability, origin, or location signals
  • traceability and origin initiatives
  • core concepts, data patterns, and adoption paths