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Onsite

Principal Lead

Equinix

Principal Lead

Skills

Data MiningPythonData AnalysisAINo-code AutomationsServiceNowIntune

5 months ago

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Important information


Salary:

CA$139,000 – CA$209,000 / year

Location:

Toronto, ON, Canada

Work mode:

Onsite

Published on:

18 August 2026

What they need


Who you are

  • Experience with enterprise endpoint management platforms such as Microsoft Intune, Jamf, or equivalent
  • Familiarity with enterprise IT service management platforms such as ServiceNow
  • Solid understanding of digital workplace operations and endpoint lifecycle management
  • Experience with endpoint monitoring or digital employee experience (DEX) platforms such as Nexthink, Lakeside SysTrack, Tanium, or similar
  • Ability to analyze device telemetry, performance data, and operational metrics to identify automation opportunities
  • Ability to analyze operational data and incident trends to identify reliability risks and drive improvements
  • Experience using dashboards, telemetry, and analytics tools to inform and prioritize operational initiatives
  • Familiarity with AI-assisted operational tooling, virtual agents, or automation copilots within service management or workplace platforms
  • Ability to build automation using PowerShell, Python, or Bash for rapid prototyping or data extraction
  • Familiarity with enterprise automation frameworks or orchestration tools
  • Familiarity with Agile or Agile Swarming methodologies

What the job involves

  • This role is responsible for modernizing Digital Workplace operations into a more automated, collaborative, and adaptive function
  • The focus is on reducing manual operational work through automation and intelligent tooling, while improving how the operations team delivers workplace services
  • This role drives the transformation from reactive, ticket-centric workflows into a proactive, intelligence-led operating model
  • Drive the evolution of Digital Workplace Operations toward an automated, intelligence-driven operating model
  • Identify and eliminate manual operational work through automation, workflow redesign, and improved tooling
  • Define success metrics for automated workflows and drive adoption to reduce manual intervention and improve service stability
  • Simplify operational processes to improve service reliability and efficiency
  • Establish practices that support faster issue detection, resolution, and prevention
  • Design and implement automation across workplace workflows including service requests, access provisioning, device remediation, and common user issues
  • Introduce and apply automated remediation and intelligent tooling to detect, route, and resolve common user and device issues, reducing operational toil and improving service stability without manual intervention
  • Enable self-service capabilities that empower employees to resolve common issues independently
  • Partner with engineering teams to embed automation into workplace platforms and services
  • Champion modern operations practices across the Digital Workplace organization
  • Drive the shift from a reactive support model to a proactive, automation-led model guided by experience KPIs
  • Analyze existing operational workflows to surface inefficiencies, delays, and improvement opportunities
  • Implement standardized, repeatable processes that enable automation and scalability
  • Define and track operational metrics that measure service performance, automation adoption, and efficiency
  • Build collaborative partnerships with cross-functional engineering teams to resolve complex, high-impact issues quickly
  • Promote faster feedback loops and iterative improvement to continuously enhance service quality and experience

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