Senior Data Analyst - OS Stability
San Diego · On-site
About this role
The Field Engagement and Analytics organization is seeking an experienced Data Stability Analyst to drive product stability through AI-augmented analysis and cross-functional collaboration. This role combines advanced data analysis with predictive insights and intelligent automation while maintaining critical human oversight for strategic decision-making.
You'll lead stability initiatives across all operating systems, working with AI systems to proactively identify issues before they impact users and coordinating resolution efforts across multiple engineering teams
We are looking for someone to drive AI-enhanced stability analysis and lead cross-functional resolution efforts for critical software stability issues. Partner with Engineering, QA, Product, and Release Management teams throughout the stability lifecycle from detection through resolution. Oversee AI systems for intelligent monitoring, predictive regression detection, and automated pattern recognition while providing strategic human insight. Present stability trends, risks, and recommendations to executive leadership. Own end-to-end accountability for critical stability investigations involving multiple teams. Design and optimize human-AI collaboration workflows to identify complex patterns in stability data and improve operating system stability.
BS in Computer Science, Engineering, or related technical field At least 3-5 years of experience in data analysis, stability engineering, or technical program management Experience driving cross-functional initiatives across engineering and product teams Strong analytical skills with ability to work with large datasets and identify patterns Excellent communication and presentation skills for technical and executive audiences Experience with data analysis tools and basic ML/AI prompt engineering Proficiency in Python, SQL and data visualization tools such as Tableau for advanced analytics and compelling data presentation
Experience with stability analysis, crash investigation, or quality engineering Knowledge of machine learning, predictive analytics, or automation tools Experience with MCP Servers, AI Agents, advanced Prompt Engineering, and using AI for complex automated data analysis Program management experience with multi-team coordination and dependency management Strong leadership skills with ability to influence without direct authority Experience presenting to executive leadership and managing stakeholder relationships
Description
We are looking for someone to drive AI-enhanced stability analysis and lead cross-functional resolution efforts for critical software stability issues. Partner with Engineering, QA, Product, and Release Management teams throughout the stability lifecycle from detection through resolution. Oversee AI systems for intelligent monitoring, predictive regression detection, and automated pattern recognition while providing strategic human insight. Present stability trends, risks, and recommendations to executive leadership. Own end-to-end accountability for critical stability investigations involving multiple teams. Design and optimize human-AI collaboration workflows to identify complex patterns in stability data and improve operating system stability.
Minimum Qualifications
BS in Computer Science, Engineering, or related technical field At least 3-5 years of experience in data analysis, stability engineering, or technical program management Experience driving cross-functional initiatives across engineering and product teams Strong analytical skills with ability to work with large datasets and identify patterns Excellent communication and presentation skills for technical and executive audiences Experience with data analysis tools and basic ML/AI prompt engineering Proficiency in Python, SQL and data visualization tools such as Tableau for advanced analytics and compelling data presentation
Preferred Qualifications
Experience with stability analysis, crash investigation, or quality engineering Knowledge of machine learning, predictive analytics, or automation tools Experience with MCP Servers, AI Agents, advanced Prompt Engineering, and using AI for complex automated data analysis Program management experience with multi-team coordination and dependency management Strong leadership skills with ability to influence without direct authority Experience presenting to executive leadership and managing stakeholder relationships
Company at a glance
We’re a diverse collective of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. And the same innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it. This is where your work can make a difference in people’s lives. Including your own.
Apple is an equal opportunity employer that is committed to inclusion and diversity. Visit apple.com/careers to learn more.
Founded1976
Team Size10,001+ employees
WorkspaceOn-site
IndustryComputers and Electronics Manufacturing
Location
San Diego, California, United States
Websiteapple.com/careers
LinkedInLinkedIn
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