Engineering Manager, App Insights, Services Data Science & Analytics

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! nnThe Apple Services Data Science u0026 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! nnOur 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 Apples most strategic and high-visibility services businesses. nnYour teams 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. nnA 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 teams output. nnYou 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. nnOver time you will help define the technical and operational roadmap for App Insights advocate for your teams needs and play a key role in shaping DSu0026As overall approach to data quality governance and self-service analytics.

Lead and develop a team of engineers and data practitioners across business intelligence data engineering self-service analytics and regulatory data support nSet technical direction and own delivery accountability for the App Insights roadmap ensuring quality reliability and business impact across all team outputsnPartner closely with legal compliance product and business stakeholders to translate complex time-sensitive data requirements into well-executed analytical solutionsnDrive hiring performance management and career development to build and retain a high-performing technically excellent teamnDefine and champion data quality governance and self-service standards in partnership with platform and analytics engineering peers across DSu0026AnCommunicate team progress risks and roadmap priorities clearly to senior leadership and cross-functional partners

8 years of experience in data engineering analytics engineering or business intelligence with at least 3 years in a people management rolenDemonstrated ability to lead and develop a team of engineers including hiring performance management and career developmentnStrong technical foundation in SQL data pipeline development and data modeling at scalenExperience supporting legal regulatory or compliance-adjacent analytics workflows with an understanding of the sensitivity and precision requirednProven stakeholder management skills comfortable operating at multiple levels of an organization from hands-on technical teams to senior business and legal leadershipnStrong written and verbal communication skills with the ability to synthesize complex data topics into clear executive-level narrativesnBS in Computer Science Statistics Engineering Mathematics Information Systems or a related fieldn

Experience managing teams in a fast-paced technology company or large-scale digital services business with exposure to subscription commerce or app platform data ecosystemsnProficiency with Python or similar scripting languages and familiarity with distributed computing frameworks (e.g. Spark) for large-scale data processingnExperience building or overseeing self-service BI tooling or analytics platforms used by non-technical stakeholdersnFamiliarity with data governance data quality practices or regulatory data production workflowsnMS in Computer Science Statistics Engineering Mathematics Information Systems or a related fieldn