Do you have a passion for harnessing vast amounts of data in innovative ways to make products better? The Apple Services Engineering's Analytics Data Engineering team is an exciting area involving Apple's long-held passion for combining analytical insight and customer privacy. We are the people who power the Wallet, Apple Gift Card, Apple Card, App Store, Apple TV, Apple Music, Apple Fitness+, and other major Apple software products - and we do it on a massive scale! Thanks to Apple's outstanding integration of hardware, software, and services, we collaborate on data across multiple areas yet with a deep dedication to strengthening Apple's commitment to user privacy. Although services are a bigger part of Apple's business than ever before, our teams remain small, nimble, and cross-functional, offering greater exposure to an array of ideas and opportunities.
This Commerce Subscriptions Engineering Program Manager will operate in a multi-functional role within a fast-paced, data-focused environment. You'll collaborate with small, highly skilled data engineering teams and partner groups to develop large-scale data capabilities and solutions to support Apple Services Engineering feature initiatives and deliver high-quality datasets and analytical outcomes. In this role, you'll often juggle multiple complex projects at once, balancing shifting priorities while keeping teams aligned and moving forward. Because our work touches sensitive customer and business data, a deep respect for privacy and a commitment to Apple's industry-leading privacy standards are essential. Successful candidates should bring strong program and project management skills, exceptional communication abilities, and a belief in the power of data-driven results.
6+ years of project management experience, specifically within a large-scale data engineering or analytics environment\n\nFamiliarity with big data technologies and modern data engineering concepts\n\nExperience with commerce, subscriptions, and/or customer lifecycle data ecosystems
Degree in Information Systems, Data Science, Computer Science, Business or Engineering\nExperience with hands-on SQL querying and Tableau dashboards is a plus\nProven success driving projects across engineering, data science, product, privacy and business teams
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90733111
- Position Id: 46f09b9c8a214d6373312b3325a738ca
- Posted 3 hours ago
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