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Job Description
- Manage program end-to-end quality for Artificial Intelligence and Machine Learning New Product Introductions by developing rigorous schedules and requirements in collaboration with product, supplier, and manufacturing quality engineering teams.
- Define and manage a program portfolio and governance structure that drives executive decision-making, prioritizes resource stewardship, and establishes a visible cadence to mitigate program dependencies.
- Partner with global server operations, engineering, supply chain, and data center operations to lead deep-dive root cause investigations, execute corrective actions, and manage excursion support.
- Lead data analysis efforts to track quality trends, identify reliability escapes, and drive continuous improvement initiatives that increase program velocity across multiple global teams.
- Implement high-standard communication frameworks across a portfolio of programs to report quality status, program reviews, and strategic updates to leadership and key stakeholders.