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트렌딩 기업

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채용Amazon

Supply Chain Manager III: Labor Planning, WWRR Labor Planning

Amazon

Supply Chain Manager III: Labor Planning, WWRR Labor Planning

Amazon

Bellevue, WA, USA

·

On-site

·

Full-time

·

3d ago

The Supply Chain Manager for Labor Planning is a senior individual contributor responsible for designing and delivering end-to-end labor planning solutions across sites and the broader network. This role operates at the intersection of tactical execution and long-term strategic planning, requiring the ability to function independently, navigate ambiguity, and drive decisions that affect multi-site operations and organizational outcomes.

In this role, the manager owns both weekly operational labor planning cycles and longer-horizon analyses that integrate forecasting, transportation, capacity, and finance workstreams. The SCM is expected to set goals, harmonize cross-functional perspectives, and develop scalable, automated solutions that improve labor planning accuracy and cost efficiency across the network.

Key job responsibilities

Weekly Responsibilities:

Conduct weekly labor planning for sites and network
Develop hiring plans and variable labor plans
Perform labor planning bridging
Generate weekly reporting on site execution, execution to plan, and labor plan accuracy performance
Bridge network performance to leadership
Own input assumptions for supply chain management
Own short-term capacity management
Collaborate with Finance on operational plan management/audit and attribution of performance variances
Delineate responsibilities with Operations and Finance teams

Strategic & Long-Term Responsibilities:

Collaborate with Demand Planning, Forecasting, and Transportation teams on load-balancing and deviation in arrivals
Determine cost of inaccurate labor plans
Optimize labor planning according to costs
Invest in and produce products that automate labor planning
Integrate long-term labor planning with capacity planning team
Develop peak, prime week, and sales labor plans
Mentor and develop junior team members

A day in the life
Update weekly labor planning models with latest forecasts, run optimization scenarios, and perform variance bridging
Compile weekly reporting on execution performance, rate metrics, and cost impact of planning inaccuracies
Lead network labor plan review with senior leadership, presenting hiring strategies and facilitating trade-off discussions
Collaborate with Forecasting on volume changes and Transportation on inbound deviations affecting labor timing
Reconcile assumptions with Finance to attribute performance variances and support OP management
Progress strategic projects, including peak season labor planning
Respond to ad hoc escalations on staffing shortages or urgent scenario analysis requests

Basic Qualifications

  • 5+ years of supply chain experience
  • 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
  • Knowledge of Microsoft Excel at an advanced level, including: pivot tables, macros, index/match, vlookup, VBA, data links, etc.
  • Knowledge of SQL at an intermediate level, including: compile queries, subqueries, aggregation/grouping, data modification, etc.
  • Experience using prompt engineering and an ability to effectively interact with AI systems

Preferred Qualifications

  • 3+ years of driving process improvements experience
  • Master's degree, or MBA in business, operations, human resources, adult education, organizational development, instructional design or related field
  • 5+ years of identifying incomplete or inaccurate data, identifying the root cause and creating/implementing an escalation plan experience
  • Ability to translate business requirements into AI-driven solutions

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, WA, Bellevue - 115,400.00 - 160,000.00 USD annually

총 조회수

0

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

Amazon 소개

Amazon

Amazon

Public

Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

10,001+

직원 수

Seattle

본사 위치

$1.5T

기업 가치

리뷰

3.4

10개 리뷰

워라밸

2.3

보상

4.2

문화

3.1

커리어

3.8

경영진

2.7

65%

친구에게 추천

장점

Great benefits and competitive compensation

Learning opportunities and career advancement

Good teamwork and colleagues

단점

High pressure and long hours

Poor work-life balance

Toxic work culture and high turnover

연봉 정보

4개 데이터

L2

L3

L4

L5

L6

L2 · Data Analyst L2

0개 리포트

$108,330

총 연봉

기본급

$43,332

주식

$54,165

보너스

$10,833

$75,831

$140,829

면접 경험

6개 면접

난이도

4.0

/ 5

소요 기간

21-35주

경험

긍정 0%

보통 17%

부정 83%

면접 과정

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Technical Interview

6

Onsite/Virtual Interviews

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge