Senior Data Analyst OS Stability

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 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.

Lead AI-augmented stability monitoring and predictive analysis across operating systemsnDrive cross-functional investigations and coordinate resolution of complex stability issuesnCreate executive presentations and stakeholder communications using AI-generated insightsnManage multi-team dependencies and timelines for critical stability improvementsnPrompt engineer ML systems for anomaly detection and regression identificationnFacilitate alignment and decision-making across Engineering Product and Operations teams

BS in Computer Science Engineering or related technical fieldnAt least 3-5 years of experience in data analysis stability engineering or technical program managementnExperience driving cross-functional initiatives across engineering and product teamsnStrong analytical skills with ability to work with large datasets and identify patternsnExcellent communication and presentation skills for technical and executive audiencesnExperience with data analysis tools and basic ML/AI prompt engineeringnProficiency 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 engineeringnKnowledge of machine learning predictive analytics or automation toolsnExperience with MCP Servers AI Agents advanced Prompt Engineering and using AI for complex automated data analysisnProgram management experience with multi-team coordination and dependency managementnStrong leadership skills with ability to influence without direct authoritynExperience presenting to executive leadership and managing stakeholder relationships