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Data Center Strategy Manager

Job in Seattle, King County, Washington, 98127, USA
Listing for: Meta
Full Time position
Listed on 2026-09-18
Job specializations:
  • Management
    Project & Program Management
Salary/Wage Range or Industry Benchmark: 246000 - 306000 USD Yearly USD 246000.00 306000.00 YEAR
Job Description & How to Apply Below
Meta is seeking a Data Center Location Strategy Manager to lead the long-range site selection and geographic portfolio strategy that underpins Meta's global data center infrastructure. In this role, you will define where Meta builds its next generation of hyperscale data centers by evaluating power availability, land acquisition potential, network connectivity, regulatory environments, and community impact across global markets. You will serve as the authoritative voice on location strategy, shaping multi-year capital deployment decisions and influencing how Meta's infrastructure footprint evolves to support billions of users worldwide.

Data Center Location Strategy Manager Responsibilities:

Define and own Meta's multi-year global data center location strategy, including site identification, market prioritization, and portfolio optimization across owned and leased facilities

Lead comprehensive site feasibility assessments evaluating power grid capacity, utility infrastructure, land availability, fiber and network connectivity, seismic and climate risk, and total cost of ownership

Develop and maintain a global pipeline of prospective data center sites, coordinating with real estate, legal, policy, and infrastructure teams to advance sites through due diligence and entitlement

Build quantitative models and scenario analyses to compare site alternatives across financial, operational, and risk dimensions, translating findings into executive-level recommendations

Establish and refine the frameworks, tools, and methodologies used to evaluate and rank prospective data center markets globally

Represent location strategy in cross-functional planning forums, aligning site selection decisions with capacity planning, network architecture, and capital expenditure roadmaps

Drive commercial solutions through creative deal and option analysis and direct negotiations with external vendors and partners

Provide strategic guidance to leaders across infrastructure, finance, and policy on emerging market opportunities and risks affecting the global data center portfolio

Mentor other members of the capacity planning and site selection team, elevating analytical rigor and strategic thinking across the function

Minimum Qualifications:

15+ years of experience in data center site selection, infrastructure capacity planning, real estate strategy, or a closely related field within large-scale technology or energy infrastructure organizations

Experience engaging with utilities, government agencies, and economic development bodies in the context of data center development or large infrastructure projects

Experience driving cross-functional alignment on long-range infrastructure strategy across engineering, finance, legal, and policy stakeholders

Experience leading multi-market site selection processes for hyperscale or large-scale data center facilities, including power, land, and network feasibility evaluation

Experience developing financial and operational models to support capital-intensive infrastructure investment decisions at an organizational or portfolio level

Bachelor's degree in a directly related field, or equivalent practical experience

Preferred Qualifications:

Familiarity with data center design standards, critical infrastructure requirements, and hyperscale construction processes that inform site suitability assessments

Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Experience building or scaling a location strategy function, including developing evaluation frameworks and…
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