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Amazon India Limited is hiring a Senior WFM Manager for LMAQ to drive end-to-end workforce management across the Last Mile Analytics and Quality space. You will design labor planning strategies, forecast headcount, and partner with multiple teams to meet SLA and optimize utilization.
The role requires 7+ years in program or project management and experience with data-driven decision making. You will build models, deliver dashboards, and lead cost-efficient workforce planning in a fast-paced,
WFM Manager, LMAQ
Have you ever thought about what it takes to successfully deliver millions of packages to Amazon customers seamlessly every day like clock work? In order to make that happen, behind those millions of packages, billions of decisions get made by machines and humans. What is the accuracy of the customer provided address? Do we know exact location of the address on a Map? Is there a safe place to leave the package at? Can we make an unattended delivery? Would a signature be required? Is the address a commercial property? Do we know open business hours of the address? What if customer is not home? Is there an alternate delivery address? Does the customer have any special delivery preference? What are the other addresses that also have packages to be delivered on the same day? Are we optimizing the delivery associate’s route? Does the delivery associate know the locality well enough? Is there an access code to get inside the building? And the list simply goes on. At the core of it all is the underlying data that can help make those decisions in time. The Last Mile Analytics and Quality (LMAQ) team capitalizes on Amazon’s scale, speed, and ability to invent and simplify to accelerate the data flywheel and curate fresh and authoritative geospatial datasets to improve customer delivery experience. We work closely with tech and science teams on multiple initiatives to automate processes to operate at scale across all regions.
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Experience Level Senior Level