AIML Data Insights Engineering Program Manager

Apple Inc.

Cupertino, Northern (CA, KY)

Hybrid

USD 176,000 - 264,000

Full time

4 hours ago
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Benefits offered by this job

Medical and dental coverage
Discretionary bonuses/stock programs
Relocation assistance
Education reimbursement

Job summary

Apple Inc. is seeking an Engineering Program Manager (EPM) to collaborate with Data Scientists and Data Engineers to define, instrument, track, and report KPIs for Apple products. You will partner with engineering management and product teams to measure success, implement metrics, and report insights to stakeholders.

You should have a track record in data products and project management, strong communication skills, and the ability to drive multiple complex projects in a dynamic environment.

Qualifications

  • BS/MS in Computer Science, Engineering or related field.
  • At least 7 years of experience in project or program management leading cross-functional software or data teams.
  • Solid understanding of system architecture and release processes for complex software.
  • Excellent written and verbal communication, including presentation and negotiation.

Responsibilities

  • Define and measure KPIs for Apple products with cross-functional teams.
  • Partner with engineering management and product teams to define success metrics.
  • Work with data science to report insights to stakeholders including Marketing and Leadership.
  • Drive multiple complex projects, manage risks, and maintain clear status updates.

Skills

Program management
Cross-functional leadership
Data-driven
Communication

Education

BS/MS in Computer Science or related field

Tools

Build & release processes

Job description

Apple Inc. is seeking an Engineering Program Manager (EPM) to collaborate with Data Scientists and Data Engineers to define, instrument, track, and report KPIs for Apple products. You will partner with engineering management and product teams to measure success, implement metrics, and report insights to stakeholders.

You should have a track record in data products and project management, strong communication skills, and the ability to drive multiple complex projects in a dynamic environment.

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