Principal, Facilities AI

3 weeks, 4 days ago
Full-time
Lead
Artificial Intelligence and Machine Learning
Fleet Data Centers

Fleet Data Centers

Fleet Data Centers specializes in providing build-to-suit data center campuses designed for hyperscale customers, offering flexible and predictable leasing options at a gigawatt scale to meet the evolving demands of the data center industry.

IT Services

Description

  • Define Fleet’s facilities AI, machine learning, and automation strategy across use cases including predictive maintenance, anomaly detection, alarm rationalization, workflow automation, and digital assistants.
  • Identify high-value operational challenges and develop business cases, requirements, and adoption plans for solutions.
  • Partner with Operations, Facilities Engineering, Critical Systems, Data, and Product/Technology teams to develop practical, trustworthy solutions.
  • Establish governance for model quality, explainability, human oversight, change management, and operational risk.
  • Lead pilot design, validation criteria, implementation sequencing, and scale-up decisions based on measurable results.
  • Shape data standards, instrumentation requirements, system integrations, and telemetry quality for analytics and automation.
  • Create technical and operational documentation to support adoption, auditing, maintenance, and continuous improvement.
  • Advise leaders on where automation should accelerate work, support employees, or not be used.
  • Serve as a technical thought leader on practical AI and automation for critical infrastructure.

Requirements

  • 10+ years of experience spanning mission-critical facilities, industrial automation, data systems, advanced analytics, or related engineering disciplines.
  • Demonstrated experience applying automation, analytics, or machine learning to operational workflows or physical infrastructure.
  • Strong understanding of data center operations, critical systems, maintenance, telemetry, or industrial monitoring.
  • Expert knowledge of AI fundamentals, multiple model types, and relevant use cases.
  • Ability to translate ambiguous operational problems into practical product, data, or automation requirements.
  • Strong knowledge of data quality, systems integration, workflow design, and operational adoption challenges.
  • Strong communication and executive presence, with the ability to influence technical and operational stakeholders.
  • High standards for governance, safety, explainability, and operational credibility.
  • Preferred experience with DCIM, BMS, EPMS, SCADA, CMMS, or operational data platforms.
  • Preferred experience with decision-support tools, anomaly detection, predictive maintenance, or workflow automation in high-availability environments.
  • Willingness and ability to travel to Fleet sites as needed.

Benefits

  • $170,000–$190,000 base salary plus discretionary bonus.
  • 100% employer-covered medical, dental, and vision insurance.
  • 401(k) program.
  • Unlimited paid time off and standard paid holidays.
  • Remote work opportunity.

Interested in this position?

Apply directly on the company website

Apply Now

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