This role pays more than
66%
of similar roles. Most pay
$168,912–$243,600
— the shaded band above.
At the midpoint, this role pays about
$231k
versus about
$206k
for comparable roles.
Based on 240 similar postings.
Employer
About Apple Inc
Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software
Apple Inc currently has
1984 open roles
on FindRole.
Listed pay typically runs
$175,000–$277,600
across 1590 roles with salary data.
As the Lead iCloud Insights Engineer on the Services Data Science & Analytics team, you will own and drive the data product and application strategy for a major growing service. You will design and build custom, AI-assisted full-stack web applications that transform massive internet-scale data into interactive, actionable insights for business and engineering partners. Your daily work involves integrating LLM capabilities like natural language querying, automated insight generation, and agentic workflows into data products and pipelines. To succeed, you must be proficient in SQL, Python, Spark, and AI/ML libraries such as LangChain or scikit-learn. You will also utilize frameworks like React, Streamlit, Flask, or Django to build tools that replace traditional BI systems. This role solves the challenge of providing clear visibility into business health while navigating complex data across numerous product and customer touchpoints.
Own and drive the data product and application strategy for iCloud services.
Build full-stack web applications that turn large-scale data into interactive, actionable insights.
Integrate AI/LLM capabilities like natural language querying and automated insight generation into data products.
Partner with Data Science teams to define metrics, design datasets, and develop automated pipelines.
Architect next-generation executive reporting solutions and self-service tools for business stakeholders.
Set technical direction and best practices for application development while mentoring other engineers.
Lead complex, cross-functional projects from initial architecture and planning through final execution.
What we're looking for
Must have 8+ years of experience in Data Visualization, Data/Analytics Engineering, Data Science, or Software Engineering with a progression into senior or lead roles.
Must possess a BS in Computer Science, Statistics, Mathematics, Information Systems, Engineering, Economics, or a related field.
Must have hands-on experience building and deploying custom web applications using frameworks like React, Streamlit, Flask, Django, or Next.js.
Must have practical experience integrating AI/LLM capabilities into applications, such as RAG, prompt-based interfaces, or agentic workflows.
Must possess strong SQL skills for designing data models and pipelines to support interactive applications.
Must be proficient with data visualization tools and familiar with large-scale data engineering concepts and pipeline development.
Must have excellent communication and stakeholder management skills to influence senior partners and represent technical direction.
Must demonstrate the ability to lead projects independently, mentor other engineers, and manage high-visibility initiatives.