US Wearables Analytics & Individual AI Lead

In this role, you will: - Own the weekly aggregation and analysis of market share, third-party syndicated data, channel sell-through, and promotional intelligence across smartwatches, adjacent wearable form factors, personal audio, and accessories. - Partner with sales planning, commercial, and demand forecasting teams across Consumer and Carrier channels to ground current-quarter trajectory in external market dynamics, identifying run-rate risks, pacing anomalies, and forecast vulnerabilities. - Help leadership see around corners by tracking competitor launch cadences, promotional changes, and category ASP shifts, translating findings into a clear, weekly "so what" summary. - Serve as the broader Business Planning team’s analytical builder by designing, developing, and maintaining automated tools, dashboards, and data models that scale market intelligence delivery across all US sales channels. - Eliminate recurring manual data pulls by building automated code and self-serve reports; experiment with and implement modern AI/LLM tools to accelerate how the team synthesizes unstructured market reads and research reports. - Design, build, and deploy custom AI briefing agents that automate data retrieval, summarize multi-source market signals, and assist executive slide generation for leadership reviews. - Work hands-on with third-party data providers, validating data health, flagging anomalies, managing recurring delivery cadences, and maximizing the utility of existing research investments. - Partner with DI, DataOps and BizOps teams to test, shape and graduate experimental AI models from stage to preview to production and implementation. - Develop, implement, and lead best-in-class pricing and benchmarking frameworks (including spec-adjusted hedonic regression), working across internal data assets and syndicated market sources to round out the holistic picture of Apple’s category performance. - Synthesize complex data sets into clean, concise Keynote presentations and executive-ready summaries that help sales leaders make informed commercial decisions. 5+ years of hands-on analytical experience in market intelligence, business planning, sales operations, data analytics, or category management within consumer electronics, telecommunications, or retail. Demonstrated success in consumer/business intelligence, product marketing, product management, commercial management, market research, finance, and strategy planning. Strong interest in and market familiarity with the wearables ecosystem — smartwatches, health/fitness trackers, adjacent emerging form factors, true wireless audio (TWS), and core accessories. Ability to connect market share movements, inventory trends, and competitor promotional activity directly to internal run-rates and current-quarter sales pacing. Demonstrated track record of building automated dashboards and self-serve reporting (Tableau, Power BI, or similar modern BI tools). Experience with Python or R for data wrangling, automation, and data pipeline scripting. Comfort operating in a fast-moving, high-visibility environment, supporting multiple cross-functional senior stakeholders simultaneously. Bachelor’s degree or equivalent experience required. Familiarity with or a strong curiosity about applying modern AI/LLM tools to streamline research synthesis and reporting workflows. Experience building custom LLM agents, prompt engineering pipelines, or automated briefing tools (RAG, agent workflows) is highly valued. Self-starter who thrives in a fast-paced environment, capable of juggling recurring weekly forecasting deadlines with creative, long-term tooling projects. Expert proficiency in Keynote and Excel, with an eye for clean, minimalist visual design and the ability to translate complex data into concise, easy-to-digest slides. MBA preferred.