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Sr. Engineer Project Manager, App Analytics



Operations, Data Science
Cupertino, CA, USA
Posted on Friday, May 24, 2024


Role Number:200549145
Our successful Project Managers are responsible for shipping new features. We're looking for people with the ability to ship complex, customer-facing and internal analytics products under demanding timelines. This is a hands-on position where the Project Manager will be involved in requirements analysis, functional and technical design discussions, testing, proof- of-concept, and more. This is not a task-based job; you will be responsible for successful outcomes and delivery. Strong fundamentals are a requirement but you have more. You take responsibility; you feel a personal stake in the product you ship; you communicate responsibilities and scope clearly; you value integrity; you thrive in complex situations; you know how things work; you work for the success of the entire Project Management team; you thrive in uncertainty and strive to bring order to it; you have deep wisdom and judgment; you keep your eye on the ball; you build positive relationships; you are aware of politics but do not get mired in them; you are constantly looking to improve yourself and your team; you're prescient; and you ship code which millions of customers will use.


Drive and ship large, multi-functional Business data analytics and data services projects including infrastructure and platform features to support analytics and reporting of various applications. Lead all aspects of multiple concurrent projects and features including scope, requirements, timelines, resource allocation tracking, partner management, communications, and risk assessments. Optimize process on how features are built and completed the data analytics, data services and infrastructure team. Ability to work on cross functional projects with multi-functional schedules across the Apple ecosystem. Collaborate with Engineering, QA, Legal, Privacy, Finance, Marketing, and other organizations both inside and outside of Apple to manage the data pipelines to support various application product features and reporting requirements. Understand and work on projects with multi-functional schedules, across Analytics Engineering, other Apple groups (e.g. client teams, data science teams, business teams), and the backend reporting systems and business intelligence visualization and analysis tools.

Minimum Qualifications

Key Qualifications

  • Thorough understanding of instrumentation, analytics and data governance
  • Detailed understanding of experimentation platforms
  • Prior experience establishing and maintaining data pipelines and building analytics products and tools required
  • Understand both waterfall and Agile project management methodologies
  • Successful track record in cross team and cross organization collaboration
  • Strong facilitation skills to drive a sophisticated, cross-functional, and comprehensive project plan
  • Self-starter, self-motivated, focused, and self-sufficient with interest in learning
  • Outstanding verbal and written communication, including presentation skills to all levels of an organization (is a must)

Preferred Qualifications

Education & Experience

Bachelor of Science in Computer Science, Engineering, Mathematics, or related subject area, with a minimum of 5 years within the software development industry

Additional Requirements

Pay & Benefits

  • Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.