Job Description
Summary
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 Analytics & Data Quality team is responsible for ensuring the end-to-end quality of Analytics offerings within Apple Services Engineering. In this role, you will support the Music Analytics vertical, leading a local team of Quality Engineering (QE) 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 Analytics & Data Quality team is responsible for ensuring the end-to-end quality of Analytics offerings within Apple Services Engineering. In this role, you will support the Music Analytics vertical, leading a local team of Quality Engineering (QE) 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.
Description
The Music Analytics QA team is seeking a highly organized and motivated Analytics & Data Quality Manager to support one of the fastest-growing sectors within Apple Services. In this role, you will collaborate closely with Analytics and Client Engineering teams, project managers, and data science teams to deliver exceptional products and services to Apple’s customers.
You will lead a team dedicated to ensuring the high-quality release of analytics data pipelines from client to server. Your responsibilities will include overseeing all quality assurance processes, such as test planning, estimation, execution, and automation, to guarantee timely delivery of our commitments.
We are looking for candidates with a strong background in data analytics and quality assurance.
Key skills include exceptional analytical thinking, attention to detail, hands-on coding and effective problem-solving abilities. Strong leadership capabilities and experience in mentoring and developing team members are essential. You should be adept at managing relationships with external contractors, ensuring their alignment with the company's quality standards and project timelines.
This role requires a passion for maintaining the highest standards of quality and the ability to drive continuous improvement in processes and outcomes.
You will lead a team dedicated to ensuring the high-quality release of analytics data pipelines from client to server. Your responsibilities will include overseeing all quality assurance processes, such as test planning, estimation, execution, and automation, to guarantee timely delivery of our commitments.
We are looking for candidates with a strong background in data analytics and quality assurance.
Key skills include exceptional analytical thinking, attention to detail, hands-on coding and effective problem-solving abilities. Strong leadership capabilities and experience in mentoring and developing team members are essential. You should be adept at managing relationships with external contractors, ensuring their alignment with the company's quality standards and project timelines.
This role requires a passion for maintaining the highest standards of quality and the ability to drive continuous improvement in processes and outcomes.
Minimum Qualifications
- In depth experience leading a quality engineering team.
- Proven experience managing projects and processes in a cross-functional environment.
- Adaptable and comfortable working in a dynamic environment, with a focus on driving key issues to resolution.
- Demonstrated ability to attract, hire, motivate, and develop top-quality talent.
- Exceptional cross-functional communication and influencing skills.
- In-depth knowledge and experience with one or more of the following technologies: Python, SQL, Hadoop, Kafka, Spark.
Preferred Qualifications
- Familiarity with Swift/XCUI is a plus.
- 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.
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