Engineering Manager, App Insights, Services Data Science & Analytics

As the Engineering Manager of App Insights, you will 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.

Your team's scope spans business intelligence, self-service reporting, ad hoc analysis, data engineering, and regulatory and legal data support - delivering the analytical foundation that business, product, legal, and executive stakeholders rely on daily.

A great fit for this role is a technically grounded manager who leads with clarity and composure, builds trust across a wide range of stakeholders, and raises the bar for the engineers they develop. You will set direction, own delivery, and be accountable for the quality, reliability, and business impact of your team's output.

You will 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.

Over time, you will help define the technical and operational roadmap for App Insights, advocate for your team's needs, and play a key role in shaping DS&A's overall approach to data quality, governance, and self-service analytics.

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

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