Deployment Strategy Lead

Global Data Center Deployment Strategy Lead

Global Data Center Deployment Strategy Lead leveraging industry market intelligence, experience and technical expertise in the areas of cost, schedule, constructability and commercial risk in hyper scale AI and production focused data center development. This role informs and influences both strategy and tactics across a broad spectrum of data center development from site selection, civil enablement, budget, critical path scheduling, mechanical and electrical system design, Supply chain readiness strategy and evaluations, commissioning and hand-off to operations. The role will leverage market intelligence to inform engineering and construction decision making focused on speed to market. The role requires a professional that can excel in both thought leadership and individual contributions creating high quality work products that align with the mission of the team.

The mission of the Capacity and Deployment Strategy team is to create and enable innovative deployment strategies, informed by real time evaluation of cost, schedule, constructability and commercial risk. The team strives to enhance durable decision making as we evaluate the options to optimize the delivery of capacity. The team establishes offsite Manufacturing strategies in alignment with technical roadmaps and develops components in partnership with Engineering technical teams. The team works closely in the development of new regions and new products to ensure cost, schedule, constructability and commercial risk are aligned with the objectives and needs of the business. The team is responsible for driving scenario planning and rolling up cost, schedule and risk analysis across New Regions, New Products, Leases and Retrofits into Company master capacity plans.

Required Skills :

• Interpret market signals and provide data-driven recommendations and strategies to de-risk Meta's data center deployment
• Cultivate relationships with industry peers, contractors and the supplier community to proactively address supply chain challenges
• Benchmark current and planned strategies against industry-leading peers by leveraging internal team's networks
• Quickly synthesize quantitative and qualitative information from readily available market reports
• Provide insight into Meta's strategic execution advantages compared to competitors
• Contribute key market intelligence to major DEC-Eng deployment decisions
• Provide technical and project execution commentary to Meta's broader Market Intelligence team for context and insights from new signals
• Perform thorough analysis on industry trends and peer practices related to risk distribution, design and deployment strategies, and project development prepositioning
• Partner with XFN teams in Delivery, Precon, Engineering and Operations to ensure seamless transition from development phase to execution phase and ensure the success of XFN teams
• Identify risks that could derail the delivery of capacity and actively partner with XFN teams to mitigate those risks and quantify in the context of cost and schedule and articulate those risks to the business
• Travel required up to 20%

Minimum Qualifications :

Preferred Qualifications :

Public Compensation : $144,000 / year to $201,000 / year + bonus + equity + benefits

Industry : Internet

Equal Opportunity : Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process.