Data Center Portfolio Lead

Accountabilities:

• • Own the overall data center portfolio, maintaining visibility into site status, milestones, decisions, dependencies, open actions, risks, and readiness.
  • Lead recurring portfolio reviews, ensuring stakeholders have a clear view of current supply, critical decisions, downstream impacts, and required actions.
  • Design and operate a comprehensive stage-gate framework defining criteria, approvals, ownership, and decision points from commercial negotiations through lease execution, design, hardware allocation, construction, and operational handoff.
  • Partner with planning and design teams to determine hardware or chip allocation for each site and ensure decisions are made ahead of critical deadlines.
  • Serve as the primary connection between strategic external partners and internal stakeholders, driving accountability against milestones and maintaining consistency across site selection, design, supply chain, and delivery.
  • Establish program-level processes and operating cadences that replace fragmented, case-by-case execution with standardized portfolio management.
  • Develop AI-enabled reporting tools and data pipelines to automate project updates, improve portfolio visibility, and reduce manual reporting effort.
  • Coordinate across multiple concurrent infrastructure initiatives while identifying risks, resolving dependencies, and escalating decisions when needed.
  • Bring structure to ambiguous, high-value infrastructure challenges and help teams maintain momentum toward operational readiness.

  Requirements:

  • Bachelor’s degree or equivalent combination of education, training, and relevant professional experience in a field related to the role.
  • Proven experience managing data centers or similarly complex, capital-intensive infrastructure programs at scale.
  • Demonstrated experience managing external development partners or strategic relationships, including the ability to establish accountability and drive commitments on both sides.
  • Experience building or operating stage-gate, milestone, governance, or program-management frameworks and successfully driving organizational adoption.
  • Strong understanding of data center infrastructure constraints, including power availability, cooling, facility design, hardware requirements, construction, and delivery timelines.
  • Experience with accelerator or server fleet planning and an understanding of the data center environments required to support these systems is highly valuable.
  • Technical program management experience across multiple concurrent capital projects is a strong advantage.
  • Experience in management consulting, internal strategy, or similar environments where you have brought structure and operating cadence to ambiguous problems.
  • Commercial experience involving data center leases, framework agreements, partner negotiations, or post-signature relationship management is beneficial.
  • Strong analytical and organizational skills, with the ability to turn complex portfolio information into clear decisions, priorities, and actions.
  • Experience automating reporting through data pipelines, internal tooling, or AI-enabled solutions.
  • Excellent communication and stakeholder-management skills, with the ability to work effectively across technical, operational, commercial, and executive audiences.
  • Comfortable operating in a fast-moving environment where priorities evolve and high levels of ownership, judgment, and autonomy are expected.

  Benefits:

  • Annual salary range of $320,000–$405,000 USD.
  • Competitive total compensation package.
  • Equity donation matching program.
  • Generous vacation and parental leave.
  • Flexible working hours.
  • Hybrid working model, with an expectation that staff spend at least 25% of their time in an office; some roles may require additional office presence.
  • Visa sponsorship available, with immigration support provided where sponsorship is feasible.
  • Collaborative office environment designed to support teamwork and innovation.
  • Opportunity to work on large-scale infrastructure supporting advanced AI systems.
  • Strong emphasis on collaboration, communication, impact, and meaningful ownership.
  • Inclusive environment that encourages qualified candidates to apply even when they do not meet every listed qualification.