Engineering Project Manager, Apps Analytics

4 Months ago • All levels
Software Development & Engineering

Job Description

Lead and manage large, multi-functional business data analytics and data services projects, including infrastructure and platform features. Oversee all project aspects like scope, timelines, and resource allocation. Optimize the process of feature building within the data analytics and services team. Collaborate with various teams across Apple's ecosystem, managing data pipelines for application features and reporting. Work on projects with cross-functional schedules, involving Analytics Engineering, other Apple groups, and backend reporting systems.
Must Have:
  • Manage data analytics and data services projects.
  • Lead project aspects including scope and timelines.
  • Collaborate with cross-functional teams.

Add these skills to join the top 1% applicants for this job

cross-functional
data-analytics
resource-allocation
resource-planning
quality-control
business-intelligence
data-science

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.\nLead all aspects of multiple concurrent projects and features including scope, requirements, timelines, resource allocation tracking, stakeholder management, communications, and risk assessments.\nOptimize process on how features are built and completed the data analytics, data services, and infrastructure team.\nAbility to work on cross-functional projects with multi-functional schedules across the Apple ecosystem.\nCollaborate 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.\nUnderstand 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.

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