Cybersecurity Architect

Position Details Position Information Posting date 06/11/2026 Closing date Open Until Filled Yes Position Number 1129620 Position Title Cybersecurity Architect Hiring Range Minimum $140,000 Hiring Range Maximum $155,000 Union Type Not a Union Position SEIU Level Not an SEIU Position FLSA Status Exempt Employment Category Regular Full Time Scheduled Months per Year 12 Scheduled Hours per Week 40 Schedule MF, 8a5p Location of Position Hanover, NH Remote Work Eligibility? Hybrid Is this a term position? No If yes, length of term in months. NA Is this a grant funded position? No Position Purpose The Cybersecurity Architect designs, integrates, and advances Dartmouth's cybersecurity technology portfolio across endpoint, network, identity, cloud, data, and emerging AI domains. Reporting to the Chief Information Security Officer, this role contributes to the evolution of Dartmouth's cybersecurity reference architecture by supporting security tooling, integration patterns, detection and prevention capabilities, and platform interoperability across the institution. The role also supports the secure adoption of AIenabled technologies and evaluates opportunities to incorporate AI capabilities into cybersecurity operations and workflows. The Architect partners closely with peer domain architects, engineers, and technology leaders to ensure security capabilities are effectively integrated into Dartmouth's broader technology environment. Operating effectively in a decentralized environment with distributed IT functions and semiautonomous schools and research units is central to success in this role. This is a handson technical role that combines cybersecurity architecture, engineering collaboration, and security platform integration responsibilities. Description Cybersecurity Architect Information, Technology and Consulting | Dartmouth College | Hanover, NH Dartmouth College seeks a versatile Cybersecurity Architect to design, integrate, and mature the institution's cybersecurity technology portfolio across endpoint, network, identity, cloud, data, and AI domains. Reporting to the Chief Information Security Officer, this role owns the technical reference architecture for security capabilities, with AI treated as a firstclass domain alongside the rest of the stack. The Architect partners closely with peer domain architects to ensure security technologies are deployed and integrated as part of Dartmouth's broader architectural fabric. This is a handson architect role operating as a technical leader and individual contributor in a decentralized institutional environment. What You'll Do

• Own the security reference architecture across the technology portfolio and define integration patterns that ensure technical controls operate as a coherent ecosystem.
• Partner with peer domain architects and leaders on integrated architecture designs and joint deployment decisions across the institution.
• Lead technical deployment, integration, and tuning of capabilities across the portfolio.
• Ensure capabilities and designs are effective by actively threat modeling and pentesting new technologies using applicable frameworks and translating results into technical designs that meet Dartmouth's regulatory obligations and improve the security posture.
• Mentor engineers and analysts; partner with the CISO on governance and risk; and represent security in enterprise architecture reviews and crossinstitutional working groups. What You Bring
• Minimum eight years of progressive cybersecurity engineering and architecture experience, including at least three in a senior engineering or architect role.
• Demonstrated experience operating in a decentralized environment, including distributed IT functions, autonomous schools or business units, and federated governance.
• Handson expertise with at least four of the following: SIEM, endpoint detection and response, enterprise identity platforms, cloud productivity security suites, nextgeneration firewalls, endpoint management, and cloud infrastructure security.
• Deep working knowledge of

NIST CSF 2.0, CIS

Controls v8, and at least one of

NIST SP 80053 / SP

800171, with demonstrated detection engineering and security automation experience mapped to

MITRE ATT&CK.

• Working knowledge of AI/ML security frameworks (NIST

AI RMF, OWASP LLM

Top 10, MITRE ATLAS) and practical experience securing or integrating enterprise AI services.

• Strong written and verbal communication skills and a bachelor's degree in Computer Science, Information Security, or a related field, or equivalent professional experience. Preferred
• Higher education, academic medical, or researchintensive experience, including familiarity with faculty governance and semiautonomous research computing.
• Handson experience in

HIPAA, CMMC

Level 2 / NIST 800171, ITAR/EAR, or PCI DSS environments.

• Experience deploying enterprise generative AI at production scale or integrating LLM capabilities into SOC workflows.
• Industry certifications such as

CISSPISSAP, GIAC

GDSA, GCSA, or GCDA, or cloud security specialty certifications. Hybrid schedule based in Hanover, NH. Occasional travel to affiliated locations. Participates in an oncall rotation for major incidents. Reports to the Chief Information Security Officer. Required Qualifications Education and Yrs Exp Bachelors plus 6 or more years' experience or combination of education and experience Required Qualifications Skills, Knowledge and Abilities Bachelor's degree in Computer Science, Information Security, or a related field, or equivalent combination of education and professional experience. Minimum 6 years of progressive experience in cybersecurity engineering, security operations, infrastructure security, or related technical roles. Experience operating effectively in decentralized or distributed technology environments with collaborative governance and crossfunctional partnerships. Experience supporting or implementing security technologies in several of the following areas: SIEM and security monitoring Endpoint protection and endpoint management Identity and access management Cloud and SaaS security Network security technologies Vulnerability management Working knowledge of cybersecurity frameworks and standards including

NIST CSF, CIS

Controls, and common security architecture practices. Experience working with security monitoring, detection content, automation workflows, or operational security tooling. Familiarity with emerging AI/ML security considerations, risks, and industry guidance. Strong written and verbal communication skills, including the ability to produce technical documentation and communicate effectively with technical and nontechnical stakeholders. Preferred Qualifications Experience in higher education, academic medical, research, or similarly decentralized environments. Experience supporting regulated or compliancedriven environments including

HIPAA, NIST 800171, PCI

DSS, or research security programs. Exposure to enterprise AI platforms, AIenabled technologies, or security automation capabilities. Industry certifications such as CISSP, GIAC, cloud security certifications, or relevant vendor certifications. Familiarity with higher education cybersecurity communities such as RENISAC or

EDUCAUSE HEISC.

Department Contact for Recruitment Inquiries Tom Nudd Department Contact Phone Number 603.646.2718 Department Contact for Cover Letter and Title Tom Nudd Department Contact's Phone Number 603.646.2718 Equal Opportunity Employer Dartmouth College is an equal opportunity employer under federal law. We prohibit discrimination on the basis of race, color, religion, sex, age, national origin, sexual orientation, gender identity or expression, disability, veteran status, marital status, or any other legally protected status. Applications are welcome from all. Background Check Employment in this position is contingent upon consent to and successful completion of a preemployment background check, which may include a criminal background check, reference checks, verification of work history, conduct review, and verification of any required academic credentials, licenses, and/or certifications, with results acceptable to Dartmouth College. A criminal conviction will not automatically disqualify an applicant from employment. Background check information will be used in a confidential, nondiscriminatory manner consistent with state and federal law. Is driving a vehicle (e.g. Dartmouth vehicle or off road vehicle, rental car, personal car) an essential function of this job? Not an essential function