Manage a team of Automation engineers dedicated to ensuring high-quality releases of Apple Music Analytics Data from Client to Server Oversee all Quality Assurance processes, including test planning, estimation, execution, and automation to guarantee timely delivery on our commitments Perform technical analysis and functional qualification of new analytics features integration on various client platforms and backend pipelines Create and execute test plans, test cases, and test strategy for data validation and comparisons, and testing of client instrumentation and downstream data aggregates and reports Design and develop new internal tools and testing frameworks, and maintain existing automation to guarantees reliable end-to-end automation coverage Provide timely and accurate QA status and progress updates during all testing phases Act as a strong advocate for quality in the software development process 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. 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.