Live opening · Posted 17 hours ago

Lead Cybersecurity Architect

JPMorgan Chase · NY, United States | Jersey City, NJ, United States
Oracle
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At a glance

The key details from the original listing.

Posted 17 hours ago
CompanyJPMorgan Chase
LocationNY, United States | Jersey City, NJ, United States
SkillsAWS, Azure, GCP
SourceOracle
ListedPosted 17 hours ago

About the role

Description supplied by the original job listing.

Play a vital role in shaping the future of an iconic company and make a direct impact in a dynamic environment designed for top achievers.
As a Sr Lead Cybersecurity Architect at JPMorganChase within Cybersecurity and Technology Controls, you are an integral part of a team that works to develop high-quality cybersecurity solutions for various software applications and platform products. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of cybersecurity challenges that span multiple technology domains.
Job responsibilities
Guide evaluation of current cybersecurity principles, processes, and controls, and lead evaluation of new technology using existing standards and frameworks, influencing peers and decision-makers to adopt leading-edge solutions where appropriate
Leverage enterprise-authorized AI capabilities within the work environment to accelerate cybersecurity risk analysis and control assessment, validating outputs and handling data according to sensitivity and security requirements
Provide technical guidance and direction to support the business and its technical teams, contractors, and vendors, serving as a function-wide subject matter expert in one or more areas of focus
Partner with stakeholders and senior business leaders to recommend business modifications during periods of vulnerability
Contribute actively to the engineering community as an advocate of firm-wide frameworks, tools, and practices of the software development lifecycle
Drive reuse-first adoption of AI-assisted security validation within software development lifecycle and toolchain routines, improving control testing, remediation quality, and traceability and auditability in line with resiliency expectations
Required qualifications, capabilities, and skills
Formal training or certification on cybersecurity architecture concepts and 5+ years applied experience
Hands-on experience conducting threat modeling, attack-surface analysis, or security architecture assessments
Hands-on practical experience delivering enterprise-level cybersecurity solutions and controls
Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support cybersecurity architecture workflows with strong validation habits and awareness of data sensitivity
Ability to assess and validate AI-assisted security recommendations before adoption, escalating uncertainty and ensuring outcomes align to security, resiliency, and auditability expectations
Advanced expertise in one or more programming languages and/or applications, with advanced knowledge of cybersecurity architecture, applications, and technical processes within one or more technical disciplines (e.g., public cloud, AI/ML, mobile)
Ability to tackle design and functionality problems independently with little to no oversight
Ability to evaluate current and emerging technologies to select or recommend the best solutions for future-state architecture
Experience effectively communicating complex security concepts to senior business leaders and non-technical stakeholders
Preferred qualifications, capabilities, and skills
Experience securing enterprise cloud and software-as-a-service environments, including assessing architecture, data flows, identity, access, integrations, and security controls across third-party services
Security architecture experience across major cloud platforms, including AWS, GCP, and Microsoft Azure, with an understanding of cloud-native security controls and shared responsibility models
Experience evaluating software-as-a-service integrations, APIs, OAuth applications, service principals, application identities, and machine-to-machine authentication from a security and risk perspective
Experience securing AI/ML and large language model-enabled applications, agents, and emerging AI capabilities, including risks associated with data access, permissions, external integrations, and third-party model dependencies
Experience developing security control baselines, architecture standards, threat models, assessment frameworks, and reusable security patterns across cloud and software-as-a-service technologies
Familiarity with established security frameworks and methodologies such as NIST, MITRE ATT&CK, STRIDE, OWASP, and zero-trust principles
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