Principal, Facilities AI

Fleet Data Centers

• $170K — $190K *
Technical Services
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10+ years in mission-critical facilities, industrial automation, data systems, or engineering.
  • Experience applying automation, analytics, or machine learning in real operations.
  • Strong knowledge of data center operations, telemetry, and industrial monitoring.
  • Ability to convert operational problems into actionable requirements.
  • Understanding of data quality and systems integration challenges.
  • Strong communication and influence skills across technical and operational domains.
  • High standards of governance and operational reliability.
  • Expert in AI fundamentals and applicable use cases.

Responsibilities

  • Identify and implement automation for safety and operational improvement.
  • Define and execute on Fleet's AI and automation strategy.
  • Analyze and build business cases for operational pain points.
  • Collaborate with teams to ensure solutions are based on real conditions.
  • Establish governance for model quality and risk management.
  • Drive pilot design and validation for automation initiatives.
  • Shape data standards and quality for supporting analytics.
  • Document technical and operational processes for solution adoption.

Benefits

  • 100% employer-covered medical, dental, and vision insurance.
  • 401K program available.
  • Standard paid holidays.
  • Unlimited PTO.
Full Job Description
The Principal - Facilities AI is Fleet's senior individual contributor responsible for developing the strategy, use cases, technical standards, and implementation roadmap for applying AI, machine learning, and automation to mission-critical facilities operations. This role identifies where automation materially improves safety, reliability, speed, quality, and labor productivity-and ensures those solutions are operationally credible, governed, and scalable.

This role works across Operations, Facilities Engineering, Critical Systems, Data, and Product/Technology stakeholders to translate operational problems into practical digital solutions that improve field execution and decision quality.

What You Will Do
  • Safety, security, and availability are the most important things we do. Help Fleet deliver near-perfect execution on these dimensions by identifying and implementing automation that measurably improves operational outcomes.
  • Define Fleet's facilities AI, ML, and automation strategy across use cases such as alarm rationalization, predictive maintenance, anomaly detection, workflow automation, digital assistants, failure prediction, and operational reporting.
  • Identify high-value operational pain points and build the business cases, requirements, and adoption plans needed to implement solutions that matter.
  • 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 needed to support advanced analytics and automation.
  • Create clear technical and operational documentation so that solutions can be adopted, audited, supported, and improved over time.
  • Serve as a thought leader on practical AI and automation applications for critical infrastructure, balancing innovation with reliability and operational discipline.
  • Advise leaders on where automation should accelerate work, where it should support humans, and where it should not be used.

What You Bring
  • 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.

Preferred
  • Experience with DCIM/BMS/EPMS/SCADA, CMMS, or operational data platforms in data centers or similar critical infrastructure.
  • Experience designing decision-support tools, anomaly detection solutions, predictive maintenance models, or workflow automation tools for operations organizations.
  • Familiarity with hyperscale, colocation, utility, manufacturing, or other high-availability environments.

Travel
  • Willingness and ability to travel to Fleet sites as needed.

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

#LI-Remote

Fleet Data Centers employees enjoy competitive compensation and comprehensive benefits, including 100% employer-covered medical, dental, and vision insurance, a 401K program, standard paid holidays, and unlimited PTO.

NOTE: This job description is not intended to be all-inclusive. Employees may perform other related duties to meet the organization's ongoing needs.

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