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Endpoint Intelligence & Automation Engineer

  • 위치
    • Warren, Michigan
  • 직무 유형 Full time
  • 게시됨
  • Job Requisition JR-202617548

설명

The Role

The Endpoint Intelligence & Automation Engineer is responsible for defining how General Motors measures, understands, and improves the health, performance, and digital experience of end user endpoints across the enterprise.

This role owns the strategy and execution for endpoint telemetry, reporting, and experience insights across computers and endpoint management systems. You will gather and connect data from endpoint platforms, management tooling, support systems, and operational sources to build a clear view of endpoint health, compliance, reliability, and user experience.

You will help establish the guardrails for how endpoint intelligence is collected, interpreted, and communicated — determining what signals matter most, how those signals are correlated, what constitutes a healthy endpoint experience, and how engineering and leadership teams should use that information to make decisions.

This role partners closely with endpoint engineering, platform teams, security, infrastructure, support, and leadership stakeholders to translate endpoint telemetry into actionable reporting, automation, and continuous improvement.

What You’ll Do

  • Own the endpoint telemetry, reporting, and digital experience insights strategy as part of the broader End User Engineering mission
  • Gather, normalize, and analyze telemetry from computers, endpoint management platforms, support systems, and related operational data sources
  • Define and maintain key performance indicators for endpoint health, stability, compliance, performance, and user experience
  • Build and maintain dashboards, scorecards, and reports for engineers, operational teams, and leadership audiences, with opportunities to leverage AI-assisted reporting and insight generation
  • Translate telemetry signals into clear recommendations that improve endpoint reliability, supportability, security, and end user experience
  • Partner with engineering teams to turn endpoint intelligence requirements into scalable data pipelines, automation, and reporting capabilities
  • Create automated collection, correlation, and reporting processes that reduce manual effort and improve visibility across the environment, including the use of AI to help surface trends and relationships in data
  • Support root cause analysis by connecting telemetry signals to incidents, degradations, misconfigurations, and service disruptions
  • Measure the impact of platform changes, OS updates, policy changes, patching, and engineering initiatives using data-driven reporting
  • Establish reporting standards, data quality practices, and governance for endpoint intelligence and experience measurement
  • Communicate trends, risks, and improvement opportunities clearly to both technical and non-technical stakeholders
  • Contribute to roadmap planning by using endpoint data and experience insights to inform priorities and investment decisions

Your Skills & Abilities (Required Qualifications)

  • Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Analytics, or equivalent experience
  • 6+ years in endpoint engineering, endpoint management, digital experience monitoring, IT operations, analytics, or related infrastructure roles
  • Strong experience gathering telemetry and operational data from computers, endpoint management systems, and enterprise support platforms
  • Experience creating comprehensive reports, dashboards, and presentations for engineering teams, operational stakeholders, and leadership audiences
  • Strong analytical skills with the ability to identify patterns, trends, anomalies, and actionable insights from large or complex data sets
  • Hands-on experience with enterprise endpoint ecosystems, including Windows, macOS, Linux, and/or VDI in a medium-to-large enterprise environment
  • Experience with scripting and automation using tools such as PowerShell, Python, SQL, or similar technologies
  • Demonstrated ability to translate technical data into operational recommendations, executive summaries, and measurable engineering actions
  • Excellent communication skills and comfort working across engineering, security, infrastructure, operations, and business partners
  • Solid background in:
    • Endpoint telemetry collection and data correlation
    • Reporting, dashboarding, and data visualization practices
    • Endpoint management platforms and device compliance reporting
    • Root cause analysis using operational and endpoint experience data
    • Automation of recurring data collection, reporting, or remediation workflows

Preferred Qualifications

  • Experience with digital employee experience, endpoint analytics, or experience monitoring platforms
  • Experience with enterprise reporting and visualization tools such as Power BI, Tableau, or similar platforms
  • Experience integrating data across endpoint management, asset, service management, monitoring, and support ecosystems
  • Familiarity with modern endpoint management practices in large-scale enterprise environments
  • Experience building automation that supports proactive detection, reporting, or remediation of endpoint issues
  • Understanding of security, compliance, and data governance considerations related to endpoint telemetry
  • Familiarity with Zero Trust principles and how endpoint health and device posture support access and security decisions
  • Experience supporting executive reporting, operational reviews, or service performance management

What Success Looks Like

  • Engineering teams have clear, trusted visibility into the health and digital experience of GM end user endpoints
  • Leadership has concise, meaningful reporting on endpoint reliability, experience trends, risks, and opportunities
  • Endpoint issues are identified earlier through telemetry and trend analysis rather than through reactive escalations alone
  • Manual reporting effort is reduced through automation and repeatable data pipelines
  • Platform changes and engineering investments are measured consistently with clear outcomes and supporting data
  • A measurable improvement in endpoint experience: devices are more stable, performance issues are surfaced earlier, and end users experience fewer disruptions

다양성 정보

General Motors는 법적으로 금지된 차별을 배제하는 것은 물론 포용성과 소속감을 진정으로 장려하는 직장이 되기 위해 노력하고 있습니다. 당사는 다양성이 보장되는 환경에서 직원들이 역량을 발휘하고 우리 고객을 위한 더 좋은 제품을 개발할 수 있다고 믿습니다. 따라서 입사에 관심 있는 사람이 있다면 포지션별 주요 업무와 자격을 확인하고 본인이 보유한 기술과 능력에 부합하는 모든 포지션에 적극적으로 지원하기를 장려합니다. 지원자는 채용 과정에서 역할 관련 평가(해당하는 경우) 및/또는 채용 전 스크리닝을 통과해야 합니다.  자세한 정보는 GM 채용 과정 안내를 참고하십시오.

공평한 취업 기회 선언 (미국)

General Motors는 공평한 기회를 제공하는 고용주임을 자부합니다.  자격을 만족하는 지원자는 인종과 피부색, 성별, 성적 지향, 성별 정체성, 국적, 장애, 재향 군인 보호법 적용 여부와 상관없이 채용 후보로서 심사를 받습니다. 

숙소 (미국 및 캐나다)

General Motors는 장애인을 포함한 모든 구직자들에게 취업 기회를 제공합니다. 구직이나 취업 지원에 도움이 되는 합리적인 숙소가 필요한 경우 [email protected]으로 이메일을 보내시거나 800-865-7580으로 전화주십시오. 이메일에, 귀하가 요청하는 특정한 숙소에 대한 설명과 귀하가 지원하는 직무와 채용 요청서 번호를 포함해주세요.