Data Center Portfolio Capacity Manager

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

This role is for a Data Center Portfolio Capacity Manager responsible for capacity planning, forecasting, and reporting across a growing data center footprint. The role involves partnering with development and site selection teams, maintaining capacity timelines, and building models and dashboards for leadership. It requires experience in data center operations, capacity planning, and advanced Excel/BI tools.

What you'd actually do

  1. Own portfolio-level capacity planning and forecasting for all active and pipeline data center sites
  2. Maintain the master capacity timeline, including go-live dates, phased capacity delivery, and readiness milestones
  3. Track and communicate changes to delivery schedules, capacity timing, and risk across the portfolio
  4. Partner with Development and Site Selection teams to align site-level progress with portfolio forecasts
  5. Serve as the authoritative source for capacity availability updates used by Compute Capacity, Finance, Accounting, and Legal teams

Skills

Required

  • 5+ years experience working in data center, hyperscale infrastructure, colocation, or large-scale cloud environments
  • Strong background in capacity planning, forecasting, portfolio planning, or infrastructure operations
  • Advanced proficiency in Excel and/or Google Sheets, including complex models and scenario analysis
  • Experience building executive-ready reporting and dashboards using tools such as Tableau (or similar BI tools)
  • Ability to manage ambiguity and evolving timelines in a fast-growth environment
  • Proven ability to work cross-functionally with technical and non-technical stakeholders
  • Comfortable presenting data-driven insights to senior and executive audiences

Nice to have

  • Experience supporting data center development lifecycles (site selection, design, build, and go-live)
  • Familiarity with data center capacity concepts (MW, power density, cooling types, phased delivery)
  • Experience with additional analytics or planning tools (e.g., Power BI, Looker, Smartsheet, SQL)
  • Background in capital planning or infrastructure investment analysis