(usa) Senior Director, Software Engineering

Walmart Walmart · Retail · Sunnyvale, CA

Senior Director to lead an organization responsible for aligning workforce capacity, associate time, and operational execution to real customer demand at enterprise scale. This role combines platform ownership and changes leadership with greenfield innovation, driving workforce planning and execution systems while building new capabilities that connect associate behavior to measurable store and customer outcomes. The role requires a data-driven mindset with experience in data modeling, metrics, and machine learning.

What you'd actually do

  1. Lead a large, globally distributed engineering organization across the U.S. and India.
  2. Provide a data driven approach for optimizing associate time and oncomes by suggesting next best actions.
  3. Own workforce planning and demand-alignment platforms, including scheduling, staffing, and labor forecasting capabilities.
  4. Drive complex change initiatives across product, business, and engineering stakeholders, influencing senior leaders.
  5. Scale capabilities across U.S. and international markets while moving toward globally unified solutions.

Skills

Required

  • Experience leading large technical or engineering organizations (Director or Senior Director level)
  • Strong change management and executive influence skills
  • Proven ability to deliver results in ambiguous, loosely defined environments
  • Engineering or technical background with strong systems thinking
  • Highly metrics- and data-driven
  • Comfortable iterating toward solutions rather than relying on fully defined specifications

Nice to have

  • Experience in workforce management, retail, logistics, real-time task management or large-scale operational environments

What the JD emphasized

  • Data driven approach for optimizing associate time
  • building new capabilities that connect associate behavior to measurable store and customer outcomes
  • Data modeling, metrics, and machine learning

Other signals

  • Data driven approach for optimizing associate time
  • building new capabilities that connect associate behavior to measurable store and customer outcomes
  • Data modeling, metrics, and machine learning