Analytics QA Manager

The Apple Services Engineering (ASE) team is one of the most exciting examples of Apple’s long-held passion for combining art and technology. These are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books. And they do it on a massive scale, meeting Apple’s high expectations with commitment to deliver a huge variety of entertainment in over 35 languages to more than 150 countries.

The Media Services QA team is responsible for ensuring the end-to-end quality of Analytics offerings within Analytics & Data Engineering.

In this role, you will support the Music Analytics vertical, leading a local team of Quality Engineers dedicated to testing and automating client metrics instrumentation, as well as overseeing quality and integrity of data ingestion, processing, aggregation pipelines, reports, and dashboards for both internal and external customers.

The Apple Music Analytics QA team is seeking a highly organized and motivated Quality Manager to support one of the fastest growing areas of Apple. We are looking for candidates with a strong background in data analytics and quality assurance. You will collaborate with ADE engineering, Client engineering, Project managers and Data science teams to deliver high-quality features and services to Apple Music customers.

You will lead a team that is instrumental in delivering high quality releases of analytics data pipelines from client to server, responsible for testing and automation of Analytics features end to end.

Computer Science degree or equivalent relevant experience In-depth knowledge and experience in one or more of the following technologies: Python, SQL, Swift, XCTest/XCUI, Java Knowledge and experience with Spark, Hadoop, Kafka or other distributed systems a big plus Experience leading or strong demonstrated readiness to lead a QA team Experience managing or coordinating projects and processes cross-functionally Comfortable working in a continually changing and dynamic environment and driving top issues to resolution Self-motivated and must be able to grasp issues quickly and make educated, critical decisions in the absence of complete requirements Excellent verbal and written communication

Strong leadership capabilities and experience in mentoring and developing team members are essential Expertise in test automation architecture, test planning, execution, and triage across multiple platforms Strong presentation skills, capable of distilling complex analyses and concepts into concise, business-focused insights