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Certified ServiceNOW Architect

Job in Washington, District of Columbia, 20022, USA
Listing for: Educology Solutions
Full Time position
Listed on 2026-08-09
Job specializations:
  • IT/Tech
    IT Consultant, Systems Analyst, Cloud Computing: Infrastructure & Operations, Systems Engineer
Salary/Wage Range or Industry Benchmark: 150000 - 190000 USD Yearly USD 150000.00 190000.00 YEAR
Job Description & How to Apply Below

QUALIFICATIONS

  • Certifications:

    Certified Architect (looking for the Architect Certification)
  • Shown growth in platform of service now up to architect level (minimum 57+ years servicenow)
  • Extremely technical:
    Scripting ideal (typical JavaScript language doesn’t matter, they’ll have the aptitude)
  • ITSM completely run IT dept off of ITSM
  • Proven ability to communicate effectively with both business and technical stakeholders.
  • Demonstrable ability to work independently, with a focus on best practice architectural design and analytical problem solving and critical thinking.
  • Familiarity with system/software engineering lifecycle principles, including requirements analysis, functional and technical solutions development, and application support.
  • Experience working with large datasets, performing data analysis/modeling, and contributing insights for management decision making.
Pluses
  • Healthcare
Education Requirements/Experience in lieu of:
  • Bachelor’s degree and 8+ years of experience OR 10+ years of experience w/o degree (prefers with degree)
ADDITIONAL RESPONSIBILITIES/QUALIFICATIONS
  • Service Now experienced, certified Architect
  • Strong familiarity with Service Now Suite (e.g., ITSM, SPM, FSM, ITOM, IRM, EA etc) and platform wide analytics, AI, reporting and Virtual Agent a plus.
  • Proven ability to communicate effectively with both business and technical stakeholders.
  • Demonstrable ability to work independently, with a focus on best practice architectural design and analytical problem solving and critical thinking.
  • Familiarity with system/software engineering lifecycle principles, including requirements analysis, functional and technical solutions development, and application support.
  • Experience working with large datasets, performing data analysis/modeling, and contributing insights for management decision making.
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