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Lead iCloud Insights Engineer, Services Data Science & Analytics

Apple
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Hybrid (Austin, Texas, United States), Hybrid (Culver City, California, United States), Hybrid (Cupertino, California, United States)full-timePosted 1mo ago

About the role

Senior technical leadership role on Apple Services Data Science & Analytics. Owns data product and application strategy for iCloud, building AI-assisted full-stack web applications to surface internet-scale data, driving stakeholder-aligned insights and decision-making at scale. Combines engineering, AI/analytics, and business collaboration to deliver executive reporting, self-service data products, and AI-enabled workflows.

Responsibilities

  • Own and drive the data product and application strategy for iCloud on the Services Data Science & Analytics team
  • Design and build custom, AI-assisted full-stack web applications that surface internet-scale data as interactive, actionable insights
  • Integrate AI/LLM capabilities (natural language querying, automated insight generation, intelligent summarization, agentic workflows) into data products and pipelines
  • Partner with Data Science peers to define metrics, design datasets, and develop automation and AI-driven pipelines powering these tools
  • Architect and deliver next-generation executive reporting solutions, polished interactive tools, and self-service data products
  • Set technical direction and best practices for application development efforts across the team
  • Mentor other engineers and act as a hands-on architect and builder on high-visibility initiatives
  • Collaborate extensively with Product, Business, Engineering, and Marketing teams to iterate on key business outcomes and influence how services are measured
  • Drive a comprehensive roadmap to manage stakeholder expectations and enable org-wide transparency on progress
  • Lead complex, cross-functional projects from architecture and planning through execution and delivery

Qualifications

  • 8+ years of experience in a Data Visualization, Data/Analytics Engineering, Data Science, or Software Engineering role, with demonstrated progression into more senior or technical-lead scope
  • Hands-on experience building and deploying custom web applications (e.g., React, Streamlit, Flask, Django, Next.js, or similar)
  • Practical experience integrating AI/LLM capabilities into applications or workflows (prompt-based interfaces, retrieval-augmented generation, AI agents, copilots, or automated insight/reporting generation)
  • Strong SQL skills and experience designing data models and pipelines to support interactive applications
  • Proficiency with data visualization tools for legacy reporting in support of custom-built web applications
  • Familiarity with data engineering tools and concepts, data pipeline development, and aggregation strategies at scale
  • Excellent communication, presentation, and stakeholder management skills, with ability to influence senior partners and represent the team's technical direction
  • Proven ability to lead projects independently, mentor other engineers, and balance multiple high-visibility initiatives with tight deadlines
  • BS in Computer Science, Statistics, Mathematics, Information Systems, Engineering, Economics, or a related field

Skills

Required:Data product strategyFull-stack web application developmentAI/LLM integrationMetrics design and datasetsExecutive reporting and self-service data productsTechnical leadership and mentoring
Last updated Sep 4, 2026. Interested? Apply on the company site.

About Apple

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

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