Lead the build-out of a fleet-wide Enterprise Asset Management (EAM) and CMMS system from zero for a rapidly scaling data center operator. Own asset indexing, maintenance standards, program adoption, and data-driven reliability decisions across owned and colo sites.
240k – 310k/yr
Remote7+ YOEOther
About the role
Role Scope
Build the fleet-wide maintenance management index from zero: the single source of truth for every maintainable asset, its PM program, frequency, and criticality across owned and colo sites.
Stand up the CMMS and work management backbone that turns that index into scheduled work, so PM completion, deferrals, and backlog are measurable at every site the same way.
Lead EAM adoption as a change program across a multi-site fleet: taxonomy, training, site champions, and adoption metrics, so the system becomes how work happens rather than a database nobody trusts.
Write the maintenance standards (PM strategy, deferral rules, critical spares, vendor scope) that new sites inherit on day one instead of inventing locally.
Quarterback maintenance data into the operating rhythm: feed reliability trends, recurrence patterns, and asset health into weekly and monthly reviews so we fix classes, not instances.
What We're Looking For
Led EAM or CMMS program adoption across a large fleet (hyperscaler, utility, or industrial portfolio) and moved sites from local spreadsheets to one system of record without stalling the work.
Built or rebuilt a maintenance program for critical infrastructure, not just administered one someone else designed.
Built the asset taxonomy and data standards that let a fleet compare maintenance performance site-to-site, and defended them against a hundred local exceptions.
Written PM strategies grounded in equipment criticality and failure modes, and can defend why a task exists or kill it when it doesn't.
Held vendors and colo providers accountable to maintenance scope through evidence, completion data and audit findings, not escalation emails.
Turn maintenance data into decisions: backlog trends, deferral risk, and recurrence patterns that change what the org does next.
Nice-to-Haves
Hyperscaler or cloud data center fleet maintenance.
EAM platforms at scale (Maximo, SAP PM, eMaint, MaintainX or similar).
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