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求人Amazon

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

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Amazonについて

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+

従業員数

Seattle

本社所在地

$1.5T

企業価値

レビュー

3.4

10件のレビュー

ワークライフバランス

2.3

報酬

4.2

企業文化

3.1

キャリア

3.8

経営陣

2.7

65%

友人に勧める

良い点

Great benefits and competitive compensation

Learning opportunities and career advancement

Good teamwork and colleagues

改善点

High pressure and long hours

Poor work-life balance

Toxic work culture and high turnover

給与レンジ

4件のデータ

L2

L3

L4

L5

L6

L2 · Data Analyst L2

0件のレポート

$108,330

年収総額

基本給

$43,332

ストック

$54,165

ボーナス

$10,833

$75,831

$140,829

面接体験

6件の面接

難易度

4.0

/ 5

期間

21-35週間

体験

ポジティブ 0%

普通 17%

ネガティブ 83%

面接プロセス

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Technical Interview

6

Onsite/Virtual Interviews

よくある質問

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge