Labor Engineering PM III, Worldwide Grocery Stores (WWGS)

Key job responsibilities

• Data Feed Integration
• Own architecture and execution of all upstream data feeds into WFE: hours of operation, DC delivery calendars, format flags, event overrides
• Build and maintain scalable integrations that eliminate manual data sourcing and reconciliation by individual planners
• Establish governed processes for data ingestion, validation, and change notification
• Store Attribute Governance
• Define and maintain the store attribute library (square footage, format type, layout) used by all Labor Engineers
• Establish a consistent source of truth with update mechanisms to ensure data currency across the team
• Scale attribute frameworks to support new store formats
• Systems Connectivity
• Partner with WMT and IT teams to establish durable connections between WFE tools and source systems (UKG Pro, SPSU, 24hr Clocks, scheduling platforms)
• Own incident triage for data-related failures, reducing ambiguity between WFE logic failures and upstream data failures
• Reduce mean time to resolution for system integration issues impacting labor standards accuracy
• Technical Tooling & Automation
• Build and maintain scalable tools that remove one-off data pulls and reconciliation work from planner workflows
• Drive high-quality process improvements and establish operational excellence best practices for data management
• Cross-Functional Alignment
• Serve as WFE's technical point of contact for WMT, Store Ops, and Finance
• Own data accuracy validation and integration roadmap without day-to-day supervision
• Represent WFE's technical position in cross-functional reviews with WMT, Finance, and Ops leadership

Basic Qualifications

• 5+ years of program or project management experience
• Experience using data and metrics to determine and drive improvements
• Experience owning program strategy, end to end delivery, and communicating results to senior leadership
• Strong understanding of labor standards development and workforce planning methodologies.
• Expertise in data integration, ETL processes, and systems architecture.
• Adequate understanding of data governance frameworks
• Strong understanding of cross-functional influence and stakeholder management
• Data-driven decision making with ability to operate independently in ambiguous environments
• Strategic thinking with practical execution skills — ability to balance long-term architecture decisions with near-term delivery
• Strong written and verbal communication skills, including ability to write and defend technical narratives for leadership audiences
• Proven ability to build scalable tooling and automation to improve team efficiency
• Bachelor's degree in Industrial Engineering, Operations Research, Data Science, Business, or relevant field
• 5+ years of experience in labor engineering, workforce planning, industrial engineering, or data systems integration within retail or supply chain operations

Preferred Qualifications

• Experience with workforce management systems (UKG Pro, Kronos, or similar)
• Deep expertise in grocery or retail store operations, including multi-format environments
• Background in building data governance or master data management frameworks
• Experience with SQL, Python, or similar tools for data automation and integration
• Track record of operating independently across multiple cross-functional teams to deliver systems-level improvements