JobsEngineering Manager, App Insights, Services Data Science & Analytics
Apple logo

Engineering Manager, App Insights, Services Data Science & Analytics

Apple

Location

San Francisco Bay Area, CA

Type

Full-time

Posted

5/5/2026

Compensation

Not listed

Master's with 5+ Years of Experience
Approval 98.9%·Filings 5,543·New hires 2,691·
👑 Elite Sponsor
·FY 2025

Job description

The Engineering Manager of App Insights will lead a team of engineers focused on analytics and data engineering for Apple's strategic services. This role involves building reliable and impactful data products while collaborating with various stakeholders across the organization. The manager will set direction, ensure quality, and drive the team's output to meet business needs. A strong emphasis is placed on technical depth and stakeholder partnership.

Requirements

  • 8+ years of experience in data engineering, analytics engineering, or business intelligence, with at least 3 years in a people management role.
  • Demonstrated ability to lead and develop a team of engineers, including hiring, performance management, and career development.
  • Strong technical foundation in SQL, data pipeline development, and data modeling at scale.
  • Experience supporting legal, regulatory, or compliance-adjacent analytics workflows.
  • Proven stakeholder management skills, comfortable operating at multiple levels of an organization.
  • Strong written and verbal communication skills with the ability to synthesize complex data topics into clear executive-level narratives.
  • BS in Computer Science, Statistics, Engineering, Mathematics, Information Systems, or a related field.
  • Experience managing teams in a fast-paced technology company or large-scale digital services business.
  • Proficiency with Python or similar scripting languages, and familiarity with distributed computing frameworks.
  • Experience building or overseeing self-service BI tooling or analytics platforms.
  • Familiarity with data governance, data quality practices, or regulatory data production workflows.
  • MS in Computer Science, Statistics, Engineering, Mathematics, Information Systems, or a related field.

Responsibilities

  • Lead a team of engineers responsible for the full analytics and data engineering stack.
  • Deliver the analytical foundation that business, product, legal, and executive stakeholders rely on daily.
  • Set direction, own delivery, and be accountable for the quality, reliability, and business impact of the team's output.
  • Collaborate closely with cross-functional leaders to translate complex data requirements into analytical solutions.
  • Help define the technical and operational roadmap for App Insights.
  • Advocate for the team's needs and shape the overall approach to data quality, governance, and self-service analytics.

Benefits

  • Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.

Is this posting expired or inaccurate?