Program Manager, Worldwide Grocery Stores (WWGS) Labor Forecasting

Amazon.com Inc

Seattle, WA

JOB DETAILS
SKILLS
Artificial Intelligence (AI), Budgeting, Capacity Management, Continuous Improvement, Cross-Functional, Documentation, Finance, Financial Analysis, Financial Operations, Financial Planning, Financial Procedures, Forecasting, Grocery Stores, Machine Learning, Operations Planning, Operations Processes, Performance Modeling, Predictive Modeling, Process Capability, Process Improvement, Project/Program Management, Standard Operating Procedures (SOP), Workforce Management, Workforce Planning
LOCATION
Seattle, WA
POSTED
30+ days 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

About the Company

A

Amazon.com Inc

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
COMPANY SIZE
10,000 employees or more
INDUSTRY
Retail
FOUNDED
1994
WEBSITE
http://Amazon.com/militaryroles