About The Position

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 Sports, 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. We're looking an experienced Engineering Program Manager (EPM) with the ability to ship complex and often cross-functional data engineering projects in the marketing domain.

Requirements

  • 5+ years Technical project/program management experience or equivalent experience
  • Understanding of both waterfall and agile project management methodologies
  • Program management in data analytics, big data engineering, or software development
  • Strong facilitation skills to drive complex, cross functional, and comprehensive project plan
  • Exceptional verbal and written communication, including presentation skills to all levels of an organization
  • Information Systems, Computer Science, or Engineering majors preferred or equivalent work experience

Nice To Haves

  • Ability to deliver high quality results while working in a dynamic and fast paced environment
  • Experience with digital marketing technologies, automation, and analytics
  • Passionate about protecting privacy while delivery key product insights
  • Experience with big data technologies and tools for big data event management
  • Leadership and gravitas to drive conversations with analytics stakeholders
  • Aptitude and willingness to learn, and proactive attitude and energy
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