You will manage a team of managers and individual contributors responsible for the capacity planning and delivery of ML data center infrastructure at multi-gigawatt scale. You will work across the entire AWS organization to develop both short- and long-range capacity plans, address infrastructure constraints, and drive projects from pipeline evaluation through site selection, design, construction, testing, and deployment.
The ideal candidate is a strong people leader and communicator who thrives in highly ambiguous, fast-paced environments. You will build and scale specialized teams delivering infrastructure in compressed timelines and greenfield locations. You possess proven judgment, relationship building skills, the ability to influence without authority across multiple organizations, and a track record of building organizational capabilities from scratch. Experience in data center infrastructure or large-scale capital program delivery is required.
You must be comfortable leading remote teams delivering novel solutions across multiple US regions; designing team structures and mechanisms to meet long-term business goals; managing complex stakeholder landscapes up to VP level; driving decisions across construction, energy, procurement, design, and finance teams; and navigating persistent ambiguity and change. You will build a strategy where none exists, establish organizational standards, and drive cross-functional alignment at scale.
If you are a builder who enjoys deploying technical and highly innovative projects at massive scale, and you want to help shape the future of AI infrastructure, this position is for you!
Key job responsibilities
• Build, lead, and develop a geographically dispersed team of managers and individual contributors delivering ML data center capacity across multiple US regions
• Design organizational structure including specialized sub-teams
• Execute demand planning processes resulting in strategic alignment across multiple stakeholders to develop infrastructure capacity strategies and plans
• Work with regional planning, design, construction, energy, and field engineering teams to facilitate site selection, qualification, and build planning
• Manage the delivery of ML-specific infrastructure including high-power-density facilities, specialized networking, and liquid cooling systems
• Drive strategic planning (OP/S&OP) processes and create scalable mechanisms for capacity forecasting and financial planning
• Solve complex problems and remove blockers to timely capacity delivery; manage escalations with high judgment
• Identify opportunities to invent and simplify processes, implementing resolutions and scalable mechanisms that become organizational standards
• Communicate ideas effectively to a wide variety of stakeholders, from execution teams to VP-level leadership, for purposes ranging from informative to executive approvals
• Partner cross-functionally with Networking, Public Policy, Operations, Design Engineering, Real Estate, Supply Chain, Security, and Finance
• Hire, develop, and retain top talent; provide coaching and career development to grow the next generation of infrastructure leaders
BASIC QUALIFICATIONS
- 10+ years of program management, tech program management, or related experience
- Bachelor's degree in Construction Management, Electrical, Mechanical, Civil Engineering, or a similar technical discipline
- Bachelor's degree or equivalent, or 5+ years of people management, including 2+ years as a manager of managers experience
- Experience leading highly technical programs involving infrastructure, complex systems, systems engineering
PREFERRED QUALIFICATIONS
- • Master's Degree or advanced professional certifications
- • Experience with data center infrastructure delivery, including greenfield or rural deployments
- • Experience with ML/AI infrastructure, high-performance computing, or accelerated computing environments
- • Experience managing $1B+ capital programs or infrastructure portfolios
- • Proven track record of building teams and organizational capabilities from scratch in high-growth environments
- • Experience with colocation, hybrid, and built-to-suit data center delivery models
- • Good understanding of data center technologies including power distribution, cooling systems, networking, and rack deployment
- • Experience with business intelligence and data visualization tools (e.g., Tableau)
- • Demonstrated ability to simplify complex processes and build scalable mechanisms that become organizational standards
- • A fearless willingness to jump into the deep end on something brand new and start driving toward the objective
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, VA, Herndon - 194,600.00 - 263,300.00 USD annually
USA, WA, Seattle - 194,600.00 - 263,300.00 USD annually
