Lead Cybersecurity Architect

Cybersecurity Jobs

Jersey City (NJ)

On-site

USD 157,000 - 215,000

Full time

13 days ago

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Benefits offered by this job

Comprehensive health care coverage

On-site health and wellness centers

Retirement savings plan

Backup childcare

Tuition reimbursement

Mental health support

Financial coaching

Job summary

JPMorgan Chase in Jersey City, NJ is seeking a lead cybersecurity architect to drive cloud-enabled security solutions with analytics, risk insights, and AI-assisted validation across the SDLC. You will define target state, lead AI-enabled risk analysis, and build data models and dashboards for CIO/CTO leaders and risk committees.

Responsibilities include guiding vendor evaluations, promoting AI security adoption, implementing automated remediation, and maintaining strong data governance and

Qualifications

Formal training or certification on cybersecurity architecture and 5+ years of applied experience.
Experience delivering enterprise-level cybersecurity solutions and controls.
Experience using enterprise-authorized AI capabilities within cybersecurity workflows, including validation and data-sensitivity awareness.
Ability to assess and validate AI-assisted security recommendations before adoption, aligning with security and auditability.
Working knowledge of cybersecurity risk management: threats, vulnerabilities, exposure, likelihood/impact, control design vs operating effectiveness, residual risk, and risk appetite.
Deep expertise in one or more programming languages, software, and/or applications.
Proficiency across SDLC execution, including automation/CD practices and agile methodologies.
Ability to communicate effectively with senior business leaders.

Responsibilities

Apply enterprise AI capabilities to speed up cybersecurity architecture analysis and decisioning; validate outputs and manage data according to sensitivity and security requirements.
Define the technical target state for your cybersecurity product and drive progress against the strategy.
Find opportunities to automate remediation of recurring software issues to strengthen cybersecurity.
Lead evaluation sessions with vendors, startups, and internal teams to probe designs and fit for systems.
Drive communities of practice to promote awareness and adoption of cybersecurity technologies.
Lead AI-assisted security validation within SDLC and toolchain routines for improved testing quality.
Conduct risk analysis behind key metrics such as exposure, likelihood, impact, control gaps, and threat trends.
Build analytics tools and dashboards to convert risk data into decision-ready insights for BISOs and risk committees.
Design data models and pipelines combining security tooling, GRC, asset inventories, IAM, cloud logs, and findings repositories with data quality controls.
Establish analytics operating cadence for risk reviews with defined metrics and sign-offs.
Automate insight generation like anomaly detection and auto-generated narratives to reduce manual reporting.

Skills

Cybersecurity architecture

AI/ML capabilities

Risk analysis

SDLC automation

Communication with leadership

Cloud security

Education

Formal training or certification in cybersecurity architecture

Tools

GRC platforms

CI/CD tools

Cloud-native tooling

Job description

Lead cybersecurity architecture work at JPMorgan Chase, delivering cloud-enabled security solutions with analytics, risk insights, and AI-assisted validation across the SDLC.

Responsibilities

Apply enterprise-authorized AI capabilities to speed up cybersecurity architecture analysis and decisioning (including risk identification and documentation); validate outputs and manage data according to sensitivity and security requirements.
Define the technical target state for your cybersecurity product and drive progress against the strategy.
Find opportunities to eliminate or automate remediation of recurring software application and system issues to strengthen overall cybersecurity.
Lead evaluation sessions with external vendors, startups, and internal teams to probe cybersecurity designs, technical credentials, and fit for existing systems and cybersecurity architecture.
Drive communities of practice to promote awareness and adoption of new and leading-edge cybersecurity technologies.
Lead reuse-first adoption of AI-assisted security validation within SDLC and toolchain routines, improving control testing and remediation quality with traceability/auditability and resiliency expectations.
Conduct risk analysis behind key metrics such as exposure, likelihood, impact, control gaps, and threat trends, including root-cause analysis and clear explanations.
Build analytics tools and products (dashboards, metric pipelines, reporting applications, self-service datasets) using modern engineering practices and agentic coding approaches to convert cybersecurity risk data into decision-ready insights for BISO organizations, CIO/CTO leaders, business stakeholders, and risk committees.
Design data models and pipelines that combine multiple sources: security tooling, GRC platforms, asset inventories/CMDB, IAM, ticketing systems, cloud logs, and findings repositories, with strong controls for data quality, lineage, and repeatability.
Establish and run an analytics operating cadence (weekly, monthly, quarterly) for risk reviews, including metric definitions, refresh schedules, exception management, and stakeholder sign-offs.
Automate insight generation where feasible (anomaly detection, threshold-based alerts, auto-generated narratives, and drill-down workflows) to reduce manual reporting effort.

Requirements

Formal training or certification on cybersecurity architecture plus 5+ years of applied experience.
Hands-on experience developing risk visualization capabilities and delivering enterprise-level cybersecurity solutions and controls.
Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support cybersecurity architecture workflows, including validation habits and data-sensitivity awareness.
Ability to assess and validate AI-assisted security recommendations before adoption, escalating uncertainty and ensuring alignment with security, resiliency, and auditability expectations.
Working knowledge of cybersecurity risk management: threats, vulnerabilities, exposure, likelihood/impact, control design versus operating effectiveness, residual risk, and risk appetite/limits.
Deep expertise in one or more programming language(s), software(s), and/or applications.
Proficiency across SDLC execution, including automation/continuous delivery practices and agile methodologies such as continuous integration/delivery, application resiliency, and security.
Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., public cloud, AI/ML, mobile), including practical cloud-native experience.
Ability to evaluate current and emerging technologies and recommend best-fit future-state architecture options.
Experience communicating effectively with senior business leaders.