Engineering Manager, App Insights, Services Data Science & Analytics

Summary

Are you ready to lead a high-performing team of engineers and data practitioners at the intersection of analytics, data engineering, and business intelligence within Apple? If you are passionate about building teams that deliver reliable, scalable, and impactful data products — and thrive in environments that demand both technical depth and executive-level stakeholder partnership — we would love for you to apply!

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.

Description

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.

Responsibilities

Lead and develop a team of engineers and data practitioners across business intelligence, data engineering, self-service analytics, and regulatory data support
Set technical direction and own delivery accountability for the App Insights roadmap — ensuring quality, reliability, and business impact across all team outputs
Partner closely with legal, compliance, product, and business stakeholders to translate complex, time-sensitive data requirements into well-executed analytical solutions
Drive hiring, performance management, and career development to build and retain a high-performing, technically excellent team
Define and champion data quality, governance, and self-service standards in partnership with platform and analytics engineering peers across DS&A
Communicate team progress, risks, and roadmap priorities clearly to senior leadership and cross-functional partners

Minimum Qualifications

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

Preferred Qualifications

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

Pay & Benefits — Cupertino, California, United States

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $206,200 and $356,400, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Application Deadline

Apple accepts applications to this posting on an ongoing basis.