What are the responsibilities and job description for the Engineering Manager, App Insights, Services Data Science & Analytics position at Apple, Inc.?
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! \\n\\nThe 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! \\n\\nOur 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.
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. \n\nYour 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. \n\nA 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. \n\nYou 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. \n\nOver 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\nDemonstrated ability to lead and develop a team of engineers - including hiring, performance management, and career development\nStrong technical foundation in SQL, data pipeline development, and data modeling at scale\nExperience supporting legal, regulatory, or compliance-adjacent analytics workflows, with an understanding of the sensitivity and precision required\nProven stakeholder management skills - comfortable operating at multiple levels of an organization, from hands-on technical teams to senior business and legal leadership\nStrong written and verbal communication skills with the ability to synthesize complex data topics into clear executive-level narratives\nBS in Computer Science, Statistics, Engineering, Mathematics, Information Systems, or a related field\n
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\nProficiency with Python or similar scripting languages, and familiarity with distributed computing frameworks (e.g., Spark) for large-scale data processing\nExperience building or overseeing self-service BI tooling or analytics platforms used by non-technical stakeholders\nFamiliarity with data governance, data quality practices, or regulatory data production workflows\nMS in Computer Science, Statistics, Engineering, Mathematics, Information Systems, or a related field\n
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. \n\nYour 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. \n\nA 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. \n\nYou 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. \n\nOver 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\nDemonstrated ability to lead and develop a team of engineers - including hiring, performance management, and career development\nStrong technical foundation in SQL, data pipeline development, and data modeling at scale\nExperience supporting legal, regulatory, or compliance-adjacent analytics workflows, with an understanding of the sensitivity and precision required\nProven stakeholder management skills - comfortable operating at multiple levels of an organization, from hands-on technical teams to senior business and legal leadership\nStrong written and verbal communication skills with the ability to synthesize complex data topics into clear executive-level narratives\nBS in Computer Science, Statistics, Engineering, Mathematics, Information Systems, or a related field\n
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\nProficiency with Python or similar scripting languages, and familiarity with distributed computing frameworks (e.g., Spark) for large-scale data processing\nExperience building or overseeing self-service BI tooling or analytics platforms used by non-technical stakeholders\nFamiliarity with data governance, data quality practices, or regulatory data production workflows\nMS in Computer Science, Statistics, Engineering, Mathematics, Information Systems, or a related field\n