Program Manager I, Demand Planning, GO-AI Demand Planning team

Job Description

DESCRIPTION

Want to join the Earth's most customer centric company Do you like to dive deep to understand problems Are you someone who likes to challenge Status Quo Do you strive to excel at goals assigned to you If yes, we have opportunities for you. Global Operations - Artificial Intelligence (GO-AI) at Amazon is looking to hire candidates who can excel in a fast-paced dynamic environment.

Are you somebody that likes to use and analyze big data to drive business decisions Do you enjoy converting data into insights that will be used to enhance customer decisions worldwide for business leaders Do you want to be part of the data team which measures the pulse of innovative machine vision-based projects If your answer is yes, join our team. GO-AI is looking for a motivated individual with strong skills and experience in resource utilization planning, process optimization and execution of scalable and robust operational mechanisms, to join the GO-AI Demand Planning team. In this position you will be responsible for supporting our sites to build complex resource management processes for the rapidly expanding GO-AI business. The role requires the ability to work with a variety of key stakeholders across job functions with multiple sites.
The GO-AI Demand planning team is looking for a curious, resourceful, and experienced Demand Planners to join our team of Program Managers and analysts. Our mission is to ensure our customers have the right support at the right time to confidently and effectively grow their business through Amazon.

Key job responsibilities
Key responsibilities include:
1. Work closely with various stakeholders, including customer, operations and analytics teams to understand the demand patterns for short-term and long-term horizons across GO-AI programs.
2. Develop capacity planning models at multiple levels of aggregation for varied time horizons (short/med/long term) basis various programs demand forecast. Coordinate cross-functional research initiatives to reconcile significant variances, refine the forecast model to reflect updated assumptions and reduce forecast model variance.
3. Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. using automation tools to drive key business decisions. Ensure data accuracy by validating data for new and existing tools. Learn and understand a broad range of Amazon's data resources and know how, when, and which to use and which not to use.
4. Promote process improvement and standardization across all sites in the network. Identify, develop, manage, and execute analyses to uncover areas of opportunity, present written business recommendations and drive solutions that will help shape the direction of the business.
5. Proficiency in one or more industry analytics visualization tools (e.g. Excel, Tableau/Quicksight/MicroStrategy/PowerBI) and statistical modeling to deliver actionable insights to stakeholder

About the team
The Global Operations - Artificial Intelligence (GO-AI) team is an initiative, which remotely handles exceptions in the Amazon Robotic Fulfillment Centers Globally. GO-AI seeks to complement automated vision based decision-making technologies by providing remote human support for the subset of tasks which require higher cognitive ability and cannot be processed through automated decision making with high confidence. This team provides end-to-end solutions through inbuilt competencies of Operations and strong central specialized teams to deliver programs at Amazon scale.

BASIC QUALIFICATIONS

- 3+ years of program or project management experience
- Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
- Knowledge of Excel at an intermediate level (e.g., pivot tables & charts, multiple criteria lookups, nested logical/IF formulas, data cleansing, array formulas, etc.)
- Knowledge of SQL

PREFERRED QUALIFICATIONS

- Master's degree or above in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- Professional experience of 3 years and above in Data analytics

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