The Field Engagement and Analytics organization is looking for a Data Stability Analyst to enhance product stability through AI-driven analysis and collaboration. This role involves leading stability initiatives across various operating systems and working with AI systems to identify potential issues proactively. The analyst will partner with multiple teams, including Engineering and QA, to ensure effective resolution of critical software stability issues. The position also requires presenting insights and recommendations to executive leadership while optimizing human-AI collaboration workflows.

• Bachelor's degree in Computer Science, Engineering, or a related technical field
• 3-5 years of experience in data analysis, stability engineering, or technical program management
• Strong analytical skills with the 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
• Experience with stability analysis, crash investigation, or quality engineering
• Knowledge of machine learning, predictive analytics, or automation tools
• Experience with MCP Servers, AI Agents, and advanced Prompt Engineering
• Program management experience with multi-team coordination and dependency management
• Strong leadership skills with the ability to influence without direct authority
• Experience presenting to executive leadership and managing stakeholder relationships

• Lead stability initiatives across all operating systems.
• Work with AI systems to proactively identify issues before they impact users.
• Coordinate resolution efforts across multiple engineering teams.
• Oversee AI systems for intelligent monitoring and predictive regression detection.
• 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.

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.