Principal, Facilities AI at Fleet Data Centers | Alexandria, VA, US | Rezi

Principal, Facilities AI at Fleet Data Centers

Principal, Facilities AI

Fleet Data Centers · Alexandria, VA, US

1 weeks ago

Principal, Facilities AI

Fleet Data Centers · Alexandria, VA, US

7 days ago
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About the Role

Fleet Data Centers is seeking a Principal – Facilities AI to lead the strategy, use cases, technical standards, and implementation roadmap for applying AI, machine learning, and automation to mission-critical facilities operations. This role is crucial for improving safety, reliability, speed, quality, and labor productivity through automation, ensuring solutions are operationally credible, governed, and scalable.

Responsibilities

  • Identify and implement automation that measurably improves operational outcomes in safety, security, and availability.
  • Define Fleet’s facilities AI, ML, and automation strategy across various use cases including alarm rationalization, predictive maintenance, anomaly detection, workflow automation, digital assistants, failure prediction, and operational reporting.
  • Identify high-value operational pain points and build business cases, requirements, and adoption plans for solutions.
  • Partner with site operations, facilities engineering, critical systems, and data teams to ensure models and automations are grounded in real operating conditions and trustworthy data.
  • Establish governance for model quality, explainability, human-in-the-loop controls, change management, and risk management in operational environments.
  • Drive pilot design, validation criteria, implementation sequencing, and scale-up decisions based on measurable performance.
  • Help shape data standards, instrumentation requirements, system integrations, and telemetry quality for advanced analytics and automation.
  • Create clear technical and operational documentation for solution adoption, auditing, support, and improvement.
  • Serve as a thought leader on practical AI and automation applications for critical infrastructure, balancing innovation with reliability and operational discipline.
  • Advise leaders on the appropriate application of automation to accelerate work, support humans, or not be used.

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 real operational workflows or physical infrastructure environments.
  • Strong understanding of data center operations, critical systems, maintenance, telemetry, or industrial monitoring.
  • Ability to translate ambiguous operational problems into practical product, data, or automation requirements.
  • Strong understanding of data quality, systems integration, workflow design, and adoption challenges in operational settings.
  • Strong communication skills and executive presence, with the ability to influence across technical and operational functions.
  • High standards for governance, safety, explainability, and operational credibility.
  • Expert knowledge of AI fundamentals, multiple model types, and their application/use cases.
  • Experience with DCIM/BMS/EPMS/SCADA, CMMS, or operational data platforms in data centers or similar critical infrastructure (Preferred).
  • Experience designing decision-support tools, anomaly detection solutions, predictive maintenance models, or workflow automation tools for operations organizations (Preferred).
  • Familiarity with hyperscale, colocation, utility, manufacturing, or other high-availability environments (Preferred).
  • Willingness and ability to travel to Fleet sites as needed.

Skills

  • AI
  • Machine Learning
  • Automation
  • Data Systems
  • Advanced Analytics
  • Data Center Operations
  • Critical Systems
  • Maintenance
  • Telemetry
  • Industrial Monitoring
  • Data Quality
  • Systems Integration
  • Workflow Design
  • Communication
  • Executive Presence
  • Governance
  • Safety
  • Explainability
  • Operational Credibility
  • DCIM/BMS/EPMS/SCADA
  • CMMS
  • Operational Data Platforms
  • Decision-Support Tools
  • Anomaly Detection
  • Predictive Maintenance
  • Workflow Automation Tools

Location

  • Remote

Work Type

  • Full-time
  • Remote

Experience Level

  • 10+ years

Salary/Compensations

  • $170,000-190,000 Base Salary + Discretionary Bonus

Benefits

  • 100% employer-covered medical, dental, and vision insurance
  • 401K program
  • Standard paid holidays
  • Unlimited PTO

About the Company

  • Fleet Data Centers designs, builds and operates mega-scale data center campuses, providing flexibility and predictability to meet demand for Cloud and AI infrastructure.
  • Fleet is led by industry veterans committed to upleveling data center development scale and operations.
  • Fleet offers in-house design, engineering, and operational capabilities for tailored solutions of 500MW+ campuses.
  • Fleet provides customers a seamless extension of their data center fleets with constant access to design innovation.

Equal Opportunity

  • Qualified applicants are considered for employment regardless of age, race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or veteran status.