Назад
5 дней назад

Senior Director, System Engineering & Intelligence, Global (AI Data Centres)

280 000 - 400 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
director
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Director, System Engineering & Intelligence, Global (AI Data Centres): Unifying operational systems, asset data, telemetry, and analytics to create a trusted digital thread for AI data centres with an accent on lifecycle governance, predictive maintenance, and site readiness. Focus on building anomaly detection and optimisation capabilities, advancing safety-controlled autonomous loops, and turning commissioning data into quantitative readiness decisions.

Location: US; remote-first workplace

Salary: $280,000–$400,000 USD base salary per year, with potential bonus, equity, commission, and benefits.

Company

Nscale is a vertically integrated AI cloud company operating energy infrastructure, data centres, GPU superclusters, orchestration, and AI services across Europe and the US.

What you will do

  • Set a multi-year strategy and investment roadmap across CMMS/EAM, PIM/PLM, integrations, telemetry, and data platforms.
  • Establish canonical asset identities, lifecycle governance, taxonomies, hierarchies, configuration standards, and bills of materials.
  • Build a unified asset and topology model integrating OT/IT data from grid infrastructure through GPUs and network ports.
  • Improve maintenance and reliability through governed CMMS/EAM data, predictive maintenance, anomaly detection, remaining-useful-life prediction, and thermal and power optimisation.
  • Advance operational intelligence from shadow and recommendation modes toward human-approved and bounded-autonomous control loops with explicit safety envelopes.
  • Lead site-readiness measurement, cross-functional escalation, supplier data delivery, and development of a team spanning lifecycle engineering, data science, and data engineering.

Requirements

  • 15+ years of experience in engineering, asset management, enterprise systems, or industrial analytics, including 7+ years leading cross-functional programmes at director level or above.
  • Scaled ownership of a CMMS/EAM platform such as Maximo, SAP PM, Infor, or Nuvolo, with expertise in master data, PIM/PLM, BOM, and configuration management.
  • Experience delivering analytics or ML for physical infrastructure and working with complex BMS/SCADA/historian data.
  • Experience taking models into operational control or decision loops, including safety, validation, and governance.
  • Strong enterprise and data architecture judgement across ERP, integrations, streaming, time-series storage, lineage, and Palantir Foundry or an equivalent platform.
  • Experience with ITIL-aligned operations and controlled MOP, LOTO, and permit-to-work regimes in mission-critical environments.

Nice to have

  • Knowledge of AI/HPC data centre infrastructure, including liquid cooling, UPS, switchgear, GPU telemetry, and fabric telemetry.
  • Familiarity with RCM, FMEA, ISO 14224, and ISO 55000 reliability standards.
  • Experience with digital twins, CFD-informed modelling, BIM/COBie handover, energy optimisation, or grid optimisation.

Culture & Benefits

  • Remote-first and flexible workplace with autonomy over daily working arrangements.
  • Collaborative environment focused on innovation, ownership, accountability, openness, and transparency.
  • Competitive base salary with equity, potential bonus or commission, and annual compensation reviews.
  • Potential medical, dental, vision, flexible paid time off, parental leave, and retirement plan benefits.
  • Progression plan with opportunities to lead, challenge existing approaches, and expand responsibilities.

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