Tempus AI

Tempus AI

Process Specialist - Major Incidents

Chicago

Sponsorship not specified$75k-$110kDetected 22 days ago
SQLMachine LearningData AnalysisIncident ResponseComplianceAgileStakeholder ManagementExcelProcess ImprovementHIPAAPatient CareLeadershipCommunicationCollaboration

About the role

  • Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way.
  • Process Specialist - Major Incidents Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way.

Responsibilities

  • Incident Response & Coordination: Lead and coordinate the end-to-end response for Major Incidents.
  • Cross-Functional Collaboration: Matrix-manage people and resources across engineering, product management, operational leads, and third-party vendors.
  • Partner with Legal, Clinical, and Quality teams when Major Incidents require evaluation from these specific functions.
  • Process Ownership & Documentation: Maintain, optimize, and produce Standard Operating Procedures (SOPs), incident management runbooks, and communication templates to ensure readiness during major events.
  • Data Quality & Reporting: Maintain the Major Incident dashboard and prepare regular reviews, metrics, and reports for various teams across the business.
  • Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.
  • Matrix-manage people and resources across engineering, product management, operational leads, and third-party vendors.
  • Maintain, optimize, and produce Standard Operating Procedures (SOPs), incident management runbooks, and communication templates to ensure readiness during major events.
  • Maintain the Major Incident dashboard and prepare regular reviews, metrics, and reports for various teams across the business.

Requirements

  • ability to articulate complex technical issues concisely to stakeholders at all management levels.
  • 2-3 years of experience in IT operations, service desk, incident coordination, or related IT service management (ITSM) roles.
  • Working knowledge of the Software Development Life Cycle (SDLC) and Agile methodologies.

Nice to have

  • Baseline experience working with enterprise ITSM platforms (ServiceNow preferred).
  • Tooling & Systems: Baseline experience working with enterprise ITSM platforms (ServiceNow preferred).

Skills

  • Strong incident management, decision-making, and analytical skills.
  • Proven ability to analyze high volumes of technical data and work effectively under time pressure in a fast-paced environment.
  • Methodologies: Working knowledge of the Software Development Life Cycle (SDLC) and Agile methodologies.
  • CHI - $75,000 - $110,000
  • Actual salary may vary based on qualifications and experience.

Compensation

  • The expected salary range above is applicable if the role is performed from Illinois and may vary for other locations (California, Colorado, New York).

Benefits

  • Passionate about precision medicine and advancing the healthcare industry?
  • Practical experience utilizing AI tooling or machine learning features within ITSM platforms to drive continuous improvement, automate routine workflows, or flag anomalous incident trends.

Company info

  • As a Process Specialist - Major Incidents, you will be part of the IT team, playing a critical role in ensuring the availability, reliability, and quality of Tempus Services.
  • Working as part of a lean, collaborative two-person team, you will oversee the lifecycle of Major incidents (MIs) for technology across our enterprise and lab environments.
  • This role is essential for minimizing disruptions to our business-critical and mission-focused systems, coordinating rapid restoration, and driving continuous process improvements.

This listing is sourced directly from Tempus AI's careers page and normalized into a canonical job model.