At a Glance
- Tasks: Lead operations of cutting-edge AI infrastructure and ensure high-performance environments.
- Company: Join a pioneering tech firm revolutionising AI infrastructure.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Exciting opportunity to build and lead a high-performance team.
- Why this job: Be at the forefront of AI technology and make a significant impact.
- Qualifications: Extensive experience in large-scale data centre operations and incident management.
The predicted salary is between 120000 - 180000 £ per year.
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.
VP Data Centre Operations employer: WNTD
Join a rapidly scaling international technology business as an Onboarding Specialist, where you'll play a pivotal role in shaping the employee experience from Day One. With a comprehensive benefits package, hybrid working options, and opportunities for genuine ownership and influence, this company fosters a collaborative culture that values continuous improvement and employee engagement. If you're passionate about creating exceptional onboarding experiences and thrive in a fast-paced environment, this is the perfect place for you to grow your career.
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We think this is how you could land VP Data Centre Operations
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We think you need these skills to ace VP Data Centre Operations
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at WNTD
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
