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Jefferson Health

Academic health system

Technology and AI Risk Manager

Full-TimeUpdated on 10/21/2026
No salary listed
Senior
Bachelor's
Montgomery County, PA, USA
In Person
CybersecuritySecurity Engineering & Architecture, Security Governance, Risk & Compliance

About the job

Requirements
  • A bachelor's degree in a science, technology, engineering, or math discipline.
  • Seven years of related work experience.
  • Ability to review application, AI, API, integration, cloud, and external-connection architecture, design, and controls.
  • Ability to perform and oversee threat modeling and secure design reviews throughout the development lifecycle.
  • Ability to assess AI and machine learning systems, including model and data governance, prompt and agent security, guardrails, output validation, and misuse scenarios.
  • Knowledge of application, integration, and infrastructure security controls, including authentication, authorization, encryption, logging, segmentation, and secrets management.
  • Ability to assess third-party, medical device, and B2B integration risks with attention to technical interfaces, data exchange, and connectivity.
  • Ability to apply quantitative analysis to technical findings and translate architecture and control gaps into decision-ready risk.
  • Knowledge of information security policies, standards, and applicable regulatory frameworks such as HIPAA, NIST, and PCI.
  • Ability to partner with engineering, cloud, data, and AI teams to embed security in system design, development, and operations.
  • Ability to apply AI-assisted automation to assessment, architecture review, and reporting workflows.
  • Ability to lift and carry 25 pounds; frequent sitting, standing, and keyboard use are required.
Responsibilities
  • Lead security architecture reviews across internally developed applications, AI systems and agents, APIs, and cloud environments, assessing design, data flows, trust boundaries, and control coverage before and after deployment.
  • Perform and oversee threat modeling and secure design reviews for custom-built and AI-enabled applications throughout the development lifecycle, identify design-level weaknesses, and drive fixes into engineering work.
  • Define the technical assessment approach for AI and machine learning systems, covering model and data governance, prompt and agent security, guardrails, output validation, and misuse scenarios.
  • Evaluate and validate security controls at the application, integration, and infrastructure layers, including authentication, authorization, encryption, logging, segmentation, and secrets management.
  • Own the Security Risk Assessment portfolio end to end, ensuring a consistent and technically rigorous methodology, prioritization, and reporting across control framework management, enterprise and regulatory assessments, external and third-party risk, cyber risk, issues management, and cloud posture.
  • Lead cloud security posture management, including configuration and hardening review, identity and access design, and asset and attack-surface visibility.
  • Assess third-party, medical device, and B2B integration risk with attention to technical interfaces, data exchange, and connectivity rather than questionnaire responses alone.
  • Maintain the cyber risk register and apply quantitative analysis to technical findings, translating architecture and control gaps into decision-ready risk.
  • Drive remediation of findings from architecture reviews, assessments, audits, and testing through validated technical closure.
  • Ensure applications and platforms meet information security policies, standards, and applicable regulatory frameworks, including HIPAA, NIST, and PCI, and inform updates to technical and secure-design standards as technology and threats evolve.
  • Partner with engineering, cloud, data, and AI teams to embed security into system design, development, and operations and advance secure internal development and AI enablement.
  • Advance AI enablement across the team by applying AI-assisted automation to assessment, architecture review, and reporting workflows to improve efficiency and scale portfolio output.
  • Establish and implement elements of tactical and operational plans that contribute measurably to job-area results or project completion; decide significant elements of the team's work as directed; develop products, processes, standards, or operational plans; and manage resources or elements of the budget.
  • Improve processes, systems, or products to enhance job-area performance; address undefined, moderately complex problems affecting multiple job areas through information gathering, analysis, investigation, and experience; and execute tasks that improve simplicity and standardization across Jefferson.
  • Communicate with internal and external parties, including customers or vendors, and influence policies, practices, and procedures outside the job area.

About the company

Jefferson Health is an academic health system serving Philadelphia, South Jersey, and surrounding communities. The system delivers hospital, specialty, primary, emergency, outpatient, research, and professional education services across its care network. It serves patients, families, clinicians, students, researchers, and regional communities. Its operating model centers on clinical care integrated with university education, research, physician practices, and shared health-system operations. Teams work across nursing, physicians, allied health, research, education, technology, facilities, administration, and patient access. This structure supports consistent delivery across the organization.

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