Data Leader for Project Kuiper

Project Kuiper is an initiative to increase global broadband access through a constellation of 3,236 satellites in low Earth orbit (LEO). Its mission is to bring fast, affordable broadband to unserved and underserved communities around the world. Project Kuiper will help close the digital divide by delivering fast, affordable broadband to a wide range of customers, including consumers, businesses, government agencies, and other organizations operating in places without reliable connectivity. We are seeking a data leader to define the data infrastructure and analytics strategy for Kuiper's commercial revenue operations (CRO). You will deliver foundational infrastructure and integrate into the central data mesh to connect business tools with eCommerce systems; offer data as a service by hosting data lakes, pipelines, and analytics workbenches; instrument business metrics and insights for business reviews, operational planning, and run-time operational dashboards for revenue growth and cost reductions; and provide foresight into customer churn, up-sell / cross-sell recommendations, sales forecasting, and optimizing capacity management for maximizing contribution margin using AI/ML.

Key job responsibilities include developing data products, infrastructure and data pipelines leveraging AWS services and internal Amazon tools; building BI solutions and defining the BizOps team's BI strategy; delivering the BizOps data lake architectural design and enhancements; communicating effectively with senior management audiences; refining data strategies that cut across functional teams; understanding business requirements and providing customer, marketing, sales, operations, and planning metrics; designing data pipelines and implementing appropriate security, permissions, and access control models; supporting BizOps leaders and teams in ingesting data, analysis, dashboards, business review metrics, and other analytical insights; capturing and analyzing process insights to drive strategic shifts in product offering, service plans and pricing; driving best practices in operational excellence, data modeling, and analysis; ensuring that BI solutions are correctly and efficiently supporting the business; and participating in hiring activities and mentoring junior team members.

Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident, or lawfully admitted into the U.S. as a refugee or granted asylum.

Basic qualifications include 5+ years of data engineering experience, experience with data modeling, warehousing and building ETL pipelines, experience with SQL, experience in at least one modern scripting or programming language, and experience with Cloud technologies. Preferred qualifications include experience with big data technologies such as Hadoop, Hive, Spark, EMR, and experience operating large data warehouses.

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, please visit Amazon's accommodations page for more information.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900/year in our lowest geographic market up to $205,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit Amazon's employee benefits page.