Diligent Robotics

Robots + humans working together as a team.

Senior Manager, Fleet Management – Performance

ManagerManagerFull TimeRemoteTeam 1-10Since 2017H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

10 days ago

Salary

Not specified

10 yrs expEnglishDistributed SystemsTableau

Job Description

• Own and administer MaintainX and associated fleet management / configuration management systems. • Establish system standards, data hygiene practices, asset hierarchies, and governance models. • Ensure configuration control across hardware, firmware, and software fleet variants. • Define, own, and continuously refine fleet performance KPIs (availability, MTBF, MTTR, utilization, failure rates, etc.). • Build dashboards and reporting frameworks that provide real-time and trend-based insights. • Track leading and lagging indicators impacting fleet reliability and customer experience. • Partner with Data and Engineering teams to ensure data accuracy, accessibility, and quality. • Proactively analyze performance trends across sites, configurations, and environments. • Identify systemic issues impacting uptime, reliability, and service delivery. • Translate data insights into prioritized operational and engineering initiatives. • Drive post-incident reviews with structured root cause documentation and corrective action tracking. • Build and mentor a high-performing fleet analytics and systems team. • Create documentation, playbooks, and operational standards to support rapid scaling. • Serve as the escalation point for fleet system integrity and performance data accuracy. • Champion a culture of operational rigor, data-driven decision-making, and continuous improvement.

Job Requirements

  • 7–10+ years of experience in fleet operations, robotics, autonomous systems, hardware operations, or complex distributed systems.
  • Proven ownership of fleet management systems (e.g., MaintainX or equivalent CMMS/Fleet platforms).
  • Experience leading metric definition, KPI governance, and performance analytics at scale.
  • Strong background in configuration management and lifecycle governance.
  • Experience building performance dashboards (Looker, Tableau, Power BI, or similar).
  • Deep understanding of reliability metrics (MTBF, MTTR, availability modeling).
  • Ability to synthesize large datasets into clear, executive-level insights.
  • Experience managing and developing high-performing teams.
  • Ability to influence across Engineering, Operations, and Product.
  • Strong program management skills with a structured approach to scaling processes.
  • Exceptional written and verbal communication skills.

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