Labor Engineering PM III, Worldwide Grocery Stores (WWGS)

Amazon.com Services LLC•3h ago

United StatesOnsite$115.6K–$160KFull-timeMid Level5+ yrs exp

H-1B verified · 2310 LCAs

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Product ManagerVp Engineering

As a Labor Engineering PM III for Workforce Engineering (WFE) within WWGS Operations Business Support, you will own the technical systems layer that underpins labor standards development across all store formats. You will be responsible for data feed integration, store attribute governance
systems connectivity — ensuring that Labor Engineers have accurate, governed
scalable data inputs to build and maintain labor standards for hundreds of stores. This role operates at the intersection of WFE, Workforce Management (WMT), Store Operations, Finance
IT, requiring cross-functional influence and independent technical judgment to build durable solutions where no playbook currently exists. 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
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
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
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
communicating results to senior leadership - Strong understanding of labor standards development and workforce planning methodologies. - Expertise in data integration, ETL processes
systems architecture. - Ability to define and implement data governance frameworks from the ground up. - Cross-functional influence and stakeholder management at senior individual contributor and director levels. - 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
relevant field. - 5+ years of experience in labor engineering, workforce planning, industrial engineering
data systems integration within retail or supply chain operations.
Experience with workforce management systems (UKG Pro, Kronos
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
similar tools for data automation and integration - Track record of operating independently across multiple cross-functional teams to deliver systems-level improvements Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability
other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications
location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off
parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, IL, Chicago - 115,600.00 - 160,000.00 USD annually USA, TX, AUSTIN - 115,600.00 - 160,000.00 USD annually USA, VA, Arlington - 115,600.00 - 160,000.00 USD annually USA, WA, Seattle - 115,600.00 - 160,000.00 USD annually

Required skills

data integrationETLsystems architecturedata governanceSQLPythonworkforce managementlabor engineeringindustrial engineeringdata automation