Engineering Manager, App Insights, Services Data Science & Analytics

Apple • Cupertino, CA

7d

About The Position

The Apple Services Data Science & Analytics organization drives decisions that improve the customer experience, accelerate growth, and uncover new business opportunities while respecting user privacy and adhering to regulatory policy. We work on some of the largest e-commerce and media streaming businesses in the world and have an incredible team collaborating on the best ways to improve these services for our customers! Our culture is built on rapid iteration, open debate, and independent thinking — we take calculated risks and work as analytical advisors across product, design, engineering, marketing, editorial, legal, and business teams.

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, with an understanding of the sensitivity and precision required
• Proven stakeholder management skills — comfortable operating at multiple levels of an organization, from hands-on technical teams to senior business and legal leadership
• 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

Nice To Haves

• Experience managing teams in a fast-paced technology company or large-scale digital services business, with exposure to subscription, commerce, or app platform data ecosystems
• Proficiency with Python or similar scripting languages, and familiarity with distributed computing frameworks (e.g., Spark) for large-scale data processing
• Experience building or overseeing self-service BI tooling or analytics platforms used by non-technical stakeholders
• 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 supporting some of Apple's most strategic and high-visibility services businesses.
• Manage the team's scope which spans business intelligence, self-service reporting, ad hoc analysis, data engineering, and regulatory and legal data support.
• 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 across legal, compliance, product, and business teams — translating complex and often time-sensitive data requirements into well-executed analytical solutions.
• Help define the technical and operational roadmap for App Insights.
• Advocate for the team's needs.
• Play a key role in shaping DS&A's overall approach to data quality, governance, and self-service analytics.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager