Senior Data Analyst - OS Stability
About The Position
The Field Engagement and Analytics organization is seeking an experienced Data Stability Analyst to drive product stability through AI-augmented analysis and cross-functional collaborationThis 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 teamsWe 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.
Requirements
- 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
Responsibilities
- Drive AI-enhanced stability analysis
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Industry
Computer and Electronic Product Manufacturing
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
