Responsibilities
- Leverage technical experience and expertise to identify and build large transformational programs and initiatives across Infrastructure that scale Meta’s Data Center footprint efficiently
- Develop new Data Center planning strategies that focus on driving improvements in reliability, and achieve cost and operational efficiency including reductions in deployment times, improvements in data center power utilization, and service placement optimizations
- Optimize network, hardware and DC infrastructure footprints to drive efficiency
- Develop detailed project evaluation plans for data center plan evolution and set the pace to drive closure
- Apply quantitative techniques, develop decision scenarios and trade-offs to drive multi-billion dollar infrastructure decisions at the highest level in the organization
- Own the communications strategy for data center planning decisions which includes executive level and detailed project briefs and status updates
- Use technical judgment to drive new project evaluations, technology reviews and proposals building consensus
Minimum Qualifications
- Bachelor's degree in a directly related field, or equivalent practical experience
- Bachelor’s degree in a management, technical or engineering field
- 12+ years of experience working in Infrastructure/Cloud/Hardware with a background in Strategy, Capacity Planning, Supply Chain Optimization, technology strategy consulting
- Experience distilling various data points into actionable insights and recommendations, to identify key insights from large or complex data sets for executive communication and decision-making for executive communication and decision making
- Business acumen and intuition, with the experience to form and refine hypotheses into an actionable analysis and recommendation
- Problem solving and strategy skills, including expansive opportunity identification and framing of complex/ambiguous problems
- Experience in completing multiple cloud/infrastructure/hardware efficiency or optimization projects
- Technical experience in infrastructure, hardware or similar designs
- Experience collaborating and working with internal and external organizations and individuals
Preferred Qualifications
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Master's degree in a relevant field
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
$170,000/year to $238,000/year + bonus + equity + benefits
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