Job Description
Summary
The App Store is the world’s safest and most vibrant app marketplace, home to over 1.8 million apps and serving more than half a billion customers every week across all the Apple devices. Since the App Store launched in 2008, it has changed how we all live; it has enabled countless new companies, spawned new industries, and built millions of jobs. But we believe we are just getting started. Imagine what you could do here. At Apple, new ideas have a way of becoming exceptional products, services, and customer experiences.
As a member of the App Store Analytics & Data Engineering group, you will contribute to App Store features and developer-facing products such as App Analytics. You will work with an extraordinary dedicated and versatile team of engineers to drive and deliver scalable, performant, and high quality analytics and data driven services to a wide variety of internal collaborators across Apple and entire app developers ecosystem. We\'re looking for an experienced hands-on leader who excels in large scale program execution, to partner with data engineering, data science, product, and iOS engineering teams.
Do you have a track record of successfully driving massive programs from inception to delivery across sophisticated initiatives? Have you worked on establishing SDLC processes, compute efficiency initiatives, or data quality programs? Are you passionate about leading software engineering teams to scale efficiently, ensuring services meet SLAs for millions of users while pushing the boundaries of new technology? Do you excel at guiding teams to prioritize what truly matters? If so, we’d love to connect with you.
As a member of the App Store Analytics & Data Engineering group, you will contribute to App Store features and developer-facing products such as App Analytics. You will work with an extraordinary dedicated and versatile team of engineers to drive and deliver scalable, performant, and high quality analytics and data driven services to a wide variety of internal collaborators across Apple and entire app developers ecosystem. We\'re looking for an experienced hands-on leader who excels in large scale program execution, to partner with data engineering, data science, product, and iOS engineering teams.
Do you have a track record of successfully driving massive programs from inception to delivery across sophisticated initiatives? Have you worked on establishing SDLC processes, compute efficiency initiatives, or data quality programs? Are you passionate about leading software engineering teams to scale efficiently, ensuring services meet SLAs for millions of users while pushing the boundaries of new technology? Do you excel at guiding teams to prioritize what truly matters? If so, we’d love to connect with you.
Description
- Design and develop scalable frameworks and provide technical leadership across multiple teams.
- Build and define a roadmap that aligns with efficient utilization of resources, SDLC standard methodologies, and technology modernization goals, then own the execution of these initiatives.
- Advocate for industry standard processes and promote internal technological advancements within engineering teams, prioritizing and driving their adoption.
- Facilitate multi-functional communication with internal partners and up to the executive leadership, ensuring that requirements are clearly understood and that priorities and delivery schedule expectations are managed and aligned with the organizational roadmap.
- Nurture positive relationships across Apple, enabling seamless company-wide collaboration and ensuring effective communication among cross-divisional teams.
Minimum Qualifications
- Bachelor’s degree or equivalent experience.
Preferred Qualifications
- Over 8 years of experience in architecture or engineering management.
- Experience in managing and overseeing data collection, pipelines, tools, and platforms for internal engineering teams, with a focus on driving roadmaps and long-term strategies for internal tools and systems.
- Experience in gathering, analyzing, and presenting data and metrics to support assumptions, make recommendations, and drive decisions.
- Expertise in distributed systems.
- Hard-working, independent, and proactive, with strong creative and critical thinking skills; able to swiftly triage, prioritize, and lead effectively.
- Excellent communication and presentation skills, both written and verbal.
- Bonus if you have prior experience with privacy-preserving technologies and managing AI/ML based projects.
Pay & Benefits
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