US Wearables Analytics & Individual AI Lead

The people here at Apple donʼt just build products— they craft the kind of wonder thatʼs revolutionized entire industries. Itʼs 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. Join Apple, and help us leave the world better than we found it. Appleʼs US Sales organization generates the revenue needed to fuel our ongoing development of products and services. This in turn, enriches the lives of hundreds of millions of people around the world. We are, in many ways, the face of Apple to our largest customers. As the US wearables market intelligence analyst and tooling expert on the US Business Planning team, you will drive the weekly market intelligence cadence for Apple’s wearables portfolio across US Consumer Retail and Carrier routes-to-market. You will also augment the team’s capacity by building scalable tools for market intelligence use cases. As the wearables landscape continues to evolve, you will monitor competitive launches, pricing shifts, promotional activity, and campaign performance. Your work will directly translate complex market dynamics into clear, actionable recommendations for sales leadership. Equally important, you will build the infrastructure that scales this work. By transforming recurring manual analysis into repeatable, self-serve reporting and integrating AI capabilities, you will accelerate the team’s move from raw data to a defensible strategic point of view. Beyond core category analysis, you will spearhead our Individual AI charter by designing custom AI briefing agents, prompt-engineering frameworks, and automated presentation workflows that modernize how leadership consumes market insights. By pairing advanced econometric modeling (such as hedonic price regression) with emerging AI capabilities, you will turn raw market signals into predictive, decision-ready intelligence. Finally, you will partner closely with Business Planning, Decision Intelligence (DI), and BizOps teams to identify high-value analytics use cases and scale automated solutions for broader organizational impact.