The Apple Services Engineering team is one of the most exciting examples of Apple’s long-held passion for combining art and technology. These are the people who power the Wallet, Apple Gift Card, Apple Card, Apple Pay Later, App Store, Apple TV, Apple Music, Apple Fitness+, and Apple Podcasts. They do it on a massive scale, meeting Apple’s high expectations and high performance in more than 150 countries—Apple Services Engineering Program Managers partner with engineers who build secure, end-to-end solutions. Thanks to Apple’s unique hardware, software, and services integration, engineers and program managers are partners in achieving a unified vision. That vision always includes a deep commitment to strengthening Apple’s privacy policy, one of Apple’s core values. Although services are a more significant part of Apple’s business than ever, these teams remain small, agile, and cross-functional, offering more significant exposure to the array of opportunities here. Data and analytics engineering play a pivotal role in this environment, enabling the team to harness vast amounts of data to drive informed decision-making and innovative solutions. By leveraging cutting-edge analytics, these engineers ensure that the services operate efficiently and continue to meet the evolving needs of Apple’s global customer base.

Project manage the data engineering track for creating and enhancing data pipelines that support the Analytics Engineering space for Wallet, Payments, and Commerce Line of Business
Track multiple concurrent projects including scope, requirements, timelines, roadmaps, project plans, resource allocation, stakeholder management, communications, engineering sprint coordination, and risk assessments, both within the team and with multiple project partners
Collaborate with Engineering, Analytics, Production Support, QA, Information Security, Privacy, and other organizations to build and manage products to support Apple Services Engineering data pipelines.

6+ years of project management experience requiredProject management experience in a large-scale data engineering environment required