Seattle, Washington, United States
- End‑to‑end delivery of large‑scale AI compute platforms. - Shaping AI infrastructure strategy, aligning technical vision with business priorities, and translating that strategy into scalable, reliable platforms. - Partner closely across engineering and operations teams to unblock complex dependencies and accelerate delivery at cloud scale. The work enables Azure to support next‑generation AI workloads with performance, resilience, and speed.
Lead technical program management for SCHIE Leveraging AI Technology program, driving AI integration, operational excellence, and global data center innovation through scalable engineering solutions. Spearheaded AI-powered tools delivering measurable gains in hardware resiliency, efficiency, and developer productivity. • Reduced engineering investigation time for node failure by 30%, saving over 110,000+ engineering hours annually. • Improved hardware failure prediction accuracy by 15% and reduced downtime incidents by 20%. • Delivered $23M+ annual savings through operational efficiencies and AI-driven process improvements. • Educated 300+ engineers and leaders on AI best practices, agentic frameworks, and ROI measurement.
Responsible for Cruise AI’s cloud demand and ensure cloud capacity coverage, which will optimize the customer experience and safety. Establish north star for demand management and forecast accuracy, inclusive of cost, to support Cruise scaling and growth. • Developed and managed S&OP, specifically for cloud capacity and cost, for Cruise AI team (69% of Cruise engineer org); monthly reporting on forecasts, spend, and risks to annual budget of $1XX+ M to stakeholders including staffs, directors, and VPs. • Developed cloud cost forecast and input gathering process with 15+ stakeholders, resulting in average accuracy within 5%. • Developed weekly ship room with stakeholders to monitor cloud capacity and cost to manage demand and cost, inclusive of identifying engineering efficiencies resulting in over $1M savings/year.
• Develop, generate and manage metrics and reporting related to planning accuracy and jitter, supply changes and supply-demand gaps • Support next generation engineering efforts • Generate timely and accurate executive level communication
Member of Following Corporate Taskforce Committees: • Learning and Development (Mentorship + Community Resources) • Rewards and Recognition • Measuring Sentiments • Leadership
• Created, designed and formatted business requirement specification documentation, including process flows, used to align system and UI changes for T-Mobile Back-Office Customer-Care application. • Assessed business operations and collaborate with client staff, project managers, and developers to upgrade and expand mission critical process flows in SAP application, enabling new customer activation, account management and billing functionalities. • Collaborated with back-office business groups and T-Mobile engineers