VP Data Centre Operations

WNTD

London
Permanent
On-site
£250,000 - £300,000/year
Data Centre Infrastructure ManagementIncident & SLA ManagementGPU/AI Infrastructure Operations

Role Overview

We are building a new class of vertically integrated AI infrastructure that unites power, data centre environments, and GPU clusters into a single industrial-scale system. As the VP of Data Centre Operations, you will lead the operational backbone of this platform. This is a high-stakes, hands-on leadership role focused on running live infrastructure from the earliest stages of deployment. You will define the operational model from day one and ensure our high-density environments are stable, performant, and ready for enterprise-grade AI workloads.

Key Responsibilities

  • Operational Leadership: Own the end-to-end operations of high-density GPU infrastructure, scaling from the first cluster to multiple global regions.
  • Strategic Partnerships: Manage relationships with colocation providers to optimise live environments and ensure strict adherence to SLAs.
  • Incident Management: Personally lead the response to critical incidents, ensuring rapid resolution under pressure in a 24/7 production environment.
  • Process Engineering: Build and implement the operational standards, processes, and tooling required to transition from build-phase to live operations.
  • Team Building: Recruit and lead a high-performance operations organisation capable of supporting hyperscale and AI-native customers.

Required Skills and Qualifications

  • Extensive experience operating hyperscale or large-scale data centre environments with direct responsibility for uptime.
  • Proven track record in incident management and running mission-critical production environments under intense pressure.
  • Deep technical understanding of power, cooling, and the physical infrastructure required for high-density compute.
  • Experience building operations teams from the ground up in early-stage or rapidly scaling environments.

Nice-to-Have Qualifications

  • Experience specifically with GPU clusters or AI-specialist infrastructure.
  • Previous leadership roles within a major Cloud Service Provider (CSP) or high-performance computing (HPC) firm.