Labor Engineering PM II, Worldwide Grocery Stores (WWGS)

Amazon • Seattle, WA • 2h ago

Description

As a Labor Engineering PM II for Workforce Engineering (WFE) within WWGS Operations Business Support, you will execute the core labor engineering process - conducting time studies, performing workflow observations, analyzing task-level data, and developing labor standards that drive accurate staffing models across store formats. You will work closely with store operations teams to observe, measure, and document work processes, translating field observations into data-driven labor standards. This role requires strong analytical rigor, attention to detail, and the ability to manage multiple concurrent studies while delivering accurate, defensible results that directly impact store-level labor planning.

Key job responsibilities

Time Studies & Workflow Observation:

Conduct time and motion studies across store departments to establish and validate labor standards

Perform on-site and remote workflow observations to document task sequences, durations, and frequency

Apply appropriate allowance factors (fatigue, personal, delay) to develop fair and accurate standard times

Ensure study methodologies are consistent, repeatable, and statistically sound

Labor Standards Development & Maintenance:

Develop, document, and maintain labor standards for assigned store departments or process areas

Analyze task-level data to identify variances between actual and standard performance

Update standards based on process changes, new store formats, or operational shifts

Validate standards through periodic re-observation and data analysis

Data Analysis & Reporting:

Perform quantitative analysis on labor data to identify trends, outliers, and opportunities for standards improvement

Build and maintain reporting tools to track standards accuracy and coverage across assigned areas

Present findings and recommendations to team leadership with clear, data-backed rationale

Process Documentation & Standardization:

Create and maintain detailed process documentation (SOPs, task breakdowns, flow diagrams) for observed workflows

Ensure documentation is clear, auditable, and accessible to stakeholders

Contribute to WFE's methodology standards to ensure consistency across the team

Cross-Functional Collaboration:

Partner with store operations teams to schedule observations, gather @context, and validate findings

Coordinate with other Labor Engineers to ensure standards align across departments and formats

Support senior team members on larger-scale projects requiring multi-department analysis

Basic Qualifications

3+ years of program or project management experience

Experience using data and metrics to determine and drive improvements

Experience working cross functionally with tech and non-tech teams

Bachelor's degree in Industrial Engineering, Operations Research, Business, or relevant field

3+ years of experience in labor engineering, industrial engineering, workforce planning, or process analysis within retail, supply chain, or manufacturing operations Strong understanding of time study methodologies

Analytical rigor with attention to detail in data collection and statistical analysis

Proficiency in Excel and data analysis tools for standards calculation and reporting

Ability to observe and document complex workflows accurately and objectively

Strong project management skills - ability to manage multiple concurrent studies and meet deadlines

Clear written and verbal communication skills for documenting standards and presenting findings

Comfort working in store environments and adapting observation plans based on operational realities

Collaborative mindset with ability to build trust with store operations partners

Preferred Qualifications

Experience conducting formal time and motion studies in a retail or warehouse environment

Familiarity with predetermined time systems (MOST, MTM, or similar)

Experience with workforce management systems (UKG Pro, Kronos, or similar)

Background in grocery or multi-format retail store operations

Proficiency in SQL, Python, or similar tools for data analysis and automation

Track record of delivering accurate, defensible labor standards that drive measurable operational outcomes

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or 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, and 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .

USA, IL, Chicago - 74,200.00 - 129,800.00 USD annually

USA, TX, AUSTIN - 74,200.00 - 129,800.00 USD annually

USA, VA, Arlington - 74,200.00 - 129,800.00 USD annually

USA, WA, Seattle - 82,700.00 - 129,800.00 USD annually

Amazon

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