Phased Delivery Sme; Staff Engineer

Weights & Biases Weights & Biases · Data AI · Bellevue, WA +4 · Data Center - COR

This role is responsible for designing and governing the end-to-end phased delivery model for gigawatt-scale AI data center campuses. The Phased Delivery SME will act as a senior strategic operator, integrating various functions like development, construction, commissioning, IT deployment, and operations to bring campuses online safely and efficiently. The role involves creating frameworks, decision models, readiness gates, and cross-functional execution mechanisms for progressive site delivery, managing risks associated with partially complete environments, and ensuring readiness for AI infrastructure and liquid cooling.

What you'd actually do

  1. Define and own the enterprise phased delivery methodology for large-scale AI data center campuses.
  2. Establish the operating model for delivering sites in progressive stages, from early utility readiness and shell completion through grey space fit-out, commissioning, IT installation, and customer workload activation.
  3. Serve as the senior integrator across real estate development, design, construction, commissioning, facilities engineering, network deployment, server deployment, supply chain, security, EH&S, and operations.
  4. Develop and institutionalize site readiness frameworks for phased turnover of buildings, yards, utility plants, data halls, grey space, and supporting operational areas.
  5. Identify delivery, operational, safety, and customer risks introduced by phased occupancy and partial turnover models.

Skills

Required

  • 15+ years of experience in data center delivery, mission-critical infrastructure, large capital projects, technical program management, commissioning, or operations leadership.
  • Deep experience operating in ambiguity
  • Leading across functions without direct authority
  • Driving execution in environments where the site is simultaneously a construction project, a commissioning program, and a live production operation.

Nice to have

  • Systems thinking
  • Understanding of business impact of project timelines
  • Experience with liquid cooling infrastructure

What the JD emphasized

  • Deep experience delivering complex facilities in phased, partially complete, or live-site conditions.
  • A systems thinker who sees the whole site, not just one discipline, and understands the business impact of early, on-time, and delayed compute.
  • Dissatisfied with the status quo