Engineering Program Manager, Analytics & Data Engineering, Apple Services Engineering

Socket.dev

Seattle (WA)

On-site

USD 120,000 - 170,000

Full time

7 days ago
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Job summary

Apple's Services Engineering team is seeking an experienced Engineering Program Manager to steer cross-functional data engineering projects in the marketing domain, delivering complex, end-to-end initiatives. You'll collaborate with engineers, data scientists, and product partners to ship high-impact programs while upholding privacy and security standards across a global footprint.

Strong communication, program management expertise, and a track record of delivering data-driven results in

Qualifications

  • 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

Responsibilities

  • Lead cross-functional data engineering initiatives within marketing domain
  • Ship complex programs from concept to deployment across regions
  • Collaborate with analytics stakeholders and product teams to deliver insights while protecting privacy

Skills

Project management
Cross-functional collaboration
Agile methodologies
Waterfall methodologies
Data analytics
Big data
Communication
Presentation skills

Education

Information Systems, Computer Science, or Engineering majors preferred

Tools

Big data tools

Job description

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.

Description

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.

Minimum Qualifications
  • 5+ years Technical project/program management experience or equivalent experienceUnderstanding 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
Preferred Qualifications
  • 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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