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채용Amazon

Program Manager, Worldwide Grocery Stores (WWGS) Labor Forecasting

Amazon

Program Manager, Worldwide Grocery Stores (WWGS) Labor Forecasting

Amazon

Seattle, WA, USA

·

On-site

·

Full-time

·

4d ago

The WWGS Workforce Management Team is seeking a Program Manager to play a central role in shaping and advancing the WWGS Labor Forecasting domain. This position contributes to forecasting strategy, roadmap execution, and delivery — supporting capacity planning and operational decision-making across 500+ stores and 100,000+ associates.

The ideal candidate is a systems thinker with deep expertise in workforce forecasting, a bias for simplification, and the ability to drive alignment across Finance, Engineering, and Operations stakeholders. This role is critical to rebuilding operator trust in labor targets and enabling the organization to plan and operate with confidence.

Key job responsibilities

Forecasting Ownership & Accuracy:

  • Contribute to the strategy, methodology, and planning accuracy of the WWGS labor forecasting domain, partnering with cross-functional stakeholders to drive improvements and ensure forecasting processes are well-defined, repeatable, and operationally grounded.
  • Define and document a repeatable weekly process to review the volume forecast(s) and establish variance thresholds that trigger deeper evaluation
  • Establish clear criteria for how to evaluate and override system generated forecasts.
  • Monitor short-range volume forecasting within our third-party system (UKG Pro), ensuring stability, accuracy, and continuous improvement of near-term demand signals
  • Track and review forecast accuracy across our multiple forecast solutions, establishing a consistent measurement framework
  • Simplify and reduce forecast systems.

Strategy & Roadmap:

  • Define forecasting methodologies and drive improvements in model performance across tools, processes, and capabilities
  • Lead the transition away from budget-adjusted labor forecasting (BALF) toward demand-based, operationally grounded targets
  • Incorporate management of holiday and discard events into the forecasting framework as appropriate

AI & Technology:

  • Leverage AI and Machine Learning technologies to improve forecast accuracy and automate existing manual processes
  • Identify opportunities to enhance predictive models and reduce manual intervention across the forecasting lifecycle

Financial Planning Alignment:

  • Partner closely with Finance to support long-range forecasting and financial planning, including operational planning cycles (OP1, OP2, QG)
  • Ensure alignment between workforce plans and financial targets, serving as the connective tissue between operational demand and financial guidance
  • Collaborate with Finance to define evaluation mechanisms and decisioning criteria for forecast overrides

Documentation & Process Excellence:

  • Create comprehensive methodology documentation, establishing a single source of truth for all forecasting processes
  • Develop internal SOPs for ongoing forecast and financial guidance operations
  • Improve and refine cross-team protocols and handoff procedures across Operations Finance, Workforce Planning, and OBS

Basic Qualifications

  • 3+ years of program or project management experience
  • 3+ years of defining and implementing process improvement initiatives using data and metrics experience
  • Knowledge of Excel (Pivot Tables, VLook Ups) at an advanced level and SQL
  • Experience using data and metrics to determine and drive improvements
  • Experience working cross functionally with tech and non-tech teams
  • 3+ years of program, product, or analytics management experience in workforce planning, operations, or a related field
  • Experience with labor forecasting, capacity planning, or workforce management systems (e.g., UKG Pro, Kronos/WFC, Adaptive)
  • Strong analytical skills with experience building or evaluating forecasting models
  • Excellent written and verbal communication skills; ability to influence without authority across senior stakeholders

Preferred Qualifications

  • Experience with AI/ML applications in forecasting or operations
  • Familiarity with retail or grocery workforce management at scale
  • Experience with financial planning cycles (OP/QG) and aligning workforce plans to financial targets
  • Track record of simplifying complex operational processes and driving adoption across large store networks.

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, 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

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

Junior/L3

M3

M4

M5

M6

Mid/L4

Senior/L5

Staff/L6

VP

Director

Junior/L3 · Product Manager L5

0개 리포트

$187,921

총 연봉

기본급

-

주식

-

보너스

-

$159,732

$216,110

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