Manager, Data & Analytics — Apple Retail Online

Manager, Data & Analytics — Apple Retail Online

Cupertino, California, United States Corporate Functions

Imagine what you could do here! The people here at Apple don’t just create products — they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry‑leading environmental efforts. At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work.

Here on the Apple Store Online team, we are responsible for Apple’s largest store. Our main goal is to deliver a magical, personal digital experience where customers can shop, buy and learn everything Apple, wherever they are. Each customer should feel like they are our only customer and our job is to set the bar for the experience they receive.

To run such an extraordinary store, it takes extraordinary people, and we are looking for someone to help us do extraordinary things. The Retail Online Analytics team is responsible for providing insights, analytical solutions, and intelligent systems to Commercial Management, Commercial Marketing, Digital Merchandising, Online Product Management, Retail Contact Center, as well as Finance and other partner teams. The Manager of Online Data & Analytics leads a multidisciplinary center of excellence within Apple Retail Online, spanning Advanced Analytics, Machine Learning Engineering, Data Engineering, and AI‑powered Decision Support.

Reporting to the Global head of Retail Online Analytics, this role drives the strategy, architecture, and delivery of data‑driven insights, scalable ML systems, and intelligent applications that directly improve customer experience and business outcomes for the Apple Store Online organization.

We are seeking an experienced senior professional to lead a multidisciplinary team and build a center of excellence for online analytics, data engineering, machine learning, and AI‑driven decision support. The team encompasses advanced analytics, ML engineering, and data architecture & engineering functions. This team is tasked with the development of analytics and ML solutions, scalable data infrastructure with modern CI/CD practices, AI‑powered decision support applications, and reusable analytics libraries for performance measurement and activation of insights to improve customer experience and make a direct impact on business outcomes.

This individual is highly proficient with advanced time series analysis, e‑commerce analytics, machine learning systems, data architecture & engineering, emerging AI technologies, and ML Ops. They excel at turning data discoveries into analytical insights and intelligent applications that drive business and customer outcomes. The role requires a mix of high‑level leadership, technical vision across the data and ML stack, and deep experience advising the activities of a highly applied and results‑focused team.

You are skilled analytically and have a deep understanding of the businesses you support. You will be a thought partner to your business partners, understand their goals and objectives, and leverage your analytical skills, ML capabilities, and AI tools to surface meaningful insights and build systems that scale decision‑making. We seek someone with a strong business demeanor and outstanding technical skills, who possesses the ability to condense sophisticated analysis, ML model outputs, and AI system capabilities into clear and concise takeaways for business leaders.

• Lead a Multidisciplinary Team — Manage and develop a team of Data Scientists, Machine Learning Engineers, and Data Engineers across advanced analytics, ML engineering, and data architecture functions.
• Manage Center of Excellence — Establish scalable data infrastructure, reusable analytics assets, and modern data pipelines to deliver business insights at scale across the organization.
• Drive Advanced Analytics — Deliver solutions for performance measurement, customer insights, media planning, attribution, forecasting, base…