E
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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