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Irm Jobs in Oregon (NOW HIRING)

OR · On-site

Experience with tools such as Splunk, Microsoft Sentinel, Tenable, Qualys, CrowdStrike, Palo Alto, ServiceNow GRC/IRM, Security Hub, Azure Security Center/Microsoft Defender for Cloud, or similar ...

Expertise in GRC/IRM is highly preferred * College Degree or equivalent work experience preferred PAY RANGE: CorVel uses a market based approach to pay and our salary ranges may vary depending on ...

OR · On-site

$104K - $143K/yr

Incident & Response Mgmt (IRM), Release mgmt, ServiceNow ITSM integration, alert routing, escalation policy design, SLA-driven on-call workflows. * Hands-on experience or working knowledge of Boomi ...

Expertise in GRC/IRM is highly preferred * College Degree or equivalent work experience preferred PAY RANGE: CorVel uses a market based approach to pay and our salary ranges may vary depending on ...

Cyber Data Protection Manager

Portland, OR · Remote

$117K - $159K/yr

Qualifications Required: * 7+ years of professional experience in data protection and information security, which may include Data Discovery, Data Classification and Rights Management (DCRM, DRM, IRM ...

CMMC Compliance Analyst

OR · Remote

$105K - $141K/yr

Hands-on experience using GRC tools such as ServiceNow IRM, Diligent, Archer, or similar platforms * Understanding of cloud environments (Azure Gov, AWS GovCloud) in regulated enclaves Compensation ...

Irm information

See Oregon salary details

$15

$24

$34

How much do irm jobs pay per hour?

As of Aug 1, 2026, the average hourly pay for irm in Oregon is $24.75, according to ZipRecruiter salary data. Most workers in this role earn between $21.35 and $26.92 per hour, depending on experience, location, and employer.

What is the difference between Irm vs Data Analyst?

AspectIrmData Analyst
Required CredentialsCertifications like CRISC, CISA, or CISSP often preferredDegrees in statistics, mathematics, or related fields; certifications like CAP or Microsoft Certified Data Analyst
Work EnvironmentTypically in IT, cybersecurity, or risk management teams within organizationsUsually in business, finance, or marketing departments analyzing data sets
Employer & Industry UsageUsed in finance, healthcare, and IT sectors for risk and compliance managementCommon across industries for data-driven decision making and reporting

While both Irm and Data Analyst roles involve analytical skills, Irm focuses on risk management, compliance, and cybersecurity, whereas Data Analysts primarily interpret data to support business decisions. The credentials, work environment, and industry usage overlap but serve different organizational functions.

What are popular job titles related to Irm jobs in Oregon? For Irm jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Irm jobs in Oregon look for? The top searched job categories for Irm jobs in Oregon are:
Infographic showing various Irm job openings in Oregon as of July 2026, with employment types broken down into 83% Full Time, 15% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $51,489 per year, or $24.8 per hour.

Contractor

Re-posted 24 days ago


Job description


Title: Information Risk Analyst - AI
Duration: 12 Months - (Possible Extensions)
Location: Portland, OR - Remote
Work Hours: 8-5 PST
Job Description
  • The AI Information RiskAnalyst will be responsible for identifying, evaluating, and mitigatingrisks associated with the use of generative AI technologies in ourorganization. This role requires a blend of technical expertise,analytical skills, and strong ethical judgment to ensure that our AIinitiatives are both effective and compliant with regulatory standards.
  • 5 IRM team members whoperform Risk assessments for applications and projects. Standardapplications are used in daily tasks
  • Will be supporting theanalysis AI products (Anthropic Model Claude 3 and Microsoft Azure GPT 4)and Compnay applications (a Generative AI application implementationwith sub bots serving specific business areas)
  • Above mentioned models arebeing used within Company internal VPC with no access to internet.
  • A Security Analyst orInformation Risk Analyst with exposure, training, and maybe 1-2 projectscould meet this need
  • Working with project teamanalyzing use cases for AI implementation. This person will embed with theChatAI project team daily to understand the security needs for theupcoming roadmap items and will be a liaison to communicate any securityrequirements.

Key Responsibilities
  • Conduct comprehensive riskassessments of generative AI systems, identifying potentialvulnerabilities and threats.
  • Collaborate withcross-functional teams to design and implement robust AI securitymeasures.
  • Ensure compliance withrelevant legal, regulatory, and industry standards related to AI and dataprivacy.
  • Develop and maintain riskmanagement frameworks and policies specific to AI applications.
  • Perform regular audits andassessments to monitor the effectiveness of risk mitigation strategies.
  • Provide expert guidance on AIethics and responsible AI practices.
  • Prepare detailed reports andpresentations on risk assessment findings and recommendations for seniormanagement.
  • Stay updated with the latestadvancements in AI, cybersecurity, and risk management practices.

Requirements
REQUIREMENTS
  • Utilities experience notrequired but good to have.
  • Education Requirements(Experience in Lieu of Degree): Any AI certifications
  • Certification Requirements(Any Preferences): CIAP (nice to have)
  • How many years of experienceare you looking for? 5-10 of risk experience, 2 years AI

Top 3 Must-Haves (Hard and/or Soft Skills)
  • Understanding of AI/MLconcepts, algorithms, and models.
  • In-depth familiarity withcybersecurity principles and practices.
  • Understanding of ITinfrastructure, cloud platforms (AWS, Azure, Google Cloud), and theirsecurity protocols.

Top 3 Nice-To-Haves (Hard and/or Soft Skills)
  • Ability to think analyticallyand critically about potential risks.
  • Ability to work effectivelywith cross-functional teams, including data scientists, IT professionals,legal advisors, and business leaders.
  • Strong sense of ethics andresponsibility regarding AI deployment and its societal impacts.