Director of Security Engineering- SaaS Intelligence

JPMorgan Chase & Co.; Plano (TX); On-site; USD 180,000 - 280,000; Full time

Job summary

JPMorganChase is seeking a Director of Security Engineering to lead at least one technical area with a security focus, driving impact across departments. You will be a hands-on technical leader developing engineers, delivering secure SaaS solutions, and scaling services with governance and auditability.

You will guide engineering standards, oversee delivery planning, and partner across organizations to ensure security, resiliency, and control in enterprise platforms, including AI-enabled

Qualifications

• Formal training or certification in security engineering concepts.
• 10+ years of applied experience in the field.
• Experience running engineering teams delivering security solutions.

Responsibilities

• Influence peer leaders across business, product, and technology teams.
• Lead enterprise AI capabilities with human-in-the-loop validation and data sensitivity handling.
• Deliver scalable security engineering solutions across domains.

Skills

Security engineering

Team leadership

AI in security

Cloud security

Code review

Talent development

Job description

You are ready to lead and influence the future of technology at a world-renowned company. Join JPMorganChase and unleash your potential in shaping the industry.

As a Director of Security Engineering at JPMorganChase within the Enterprise Technology Security — SaaS Intelligence, you lead at least one technical area with a security engineering focus, and drive impact within teams, technologies, and projects across departments. Utilize your in-depth knowledge of software, applications, technical processes, and product management to drive multiple complex projects and initiatives, while serving as a decision maker for your teams and a driver of innovation to deliver security solutions. You are a hands-on technical leader who develops engineers, drives delivery quality, and partners across the organization to scale the services, reach and impact.

Job responsibilities

• Influences peer leaders and senior stakeholders across the business, product, and technology teams
• Leads reuse-first adoption of enterprise-authorized AI capabilities within the work environment to accelerate security engineering decisioning and delivery across the area, with human-in-the-loop validation and appropriate handling of sensitive data.
• Delivers technical solutions that can be leveraged across multiple businesses/domains
• Owns engineering execution for SaaS application onboarding at scale — driving connector development, integration validation, pre-production testing rigor, and quality controls that prevent production incidents.
• Sets and enforces engineering standards for code quality, API design, integration testing, and pre-production validation; leads post-incident reviews and corrective action follow-through.
• Accountable for decisions that influence teams’ resources, budget, tactical operations and the execution and implementation of processes and procedures
• Manages delivery planning and execution for the team's sprint and quarterly commitments; provides clear status, risk identification, and escalation to senior leadership.
• Establishes governance standards for AI-assisted workflows used in security engineering delivery and decision-making, ensuring traceability/auditability and alignment to security, resiliency, and control expectations.

Required Qualifications Capabilities and Skills

• Formal training or certification on security engineering concepts and 10+ years applied experience (NAMR/APAC – India/ LATAM/ Hong Kong)
• Experience running teams of engineers that deliver security solutions operations on cloud-based platforms and applications and experience building security engineering products and solutions for public cloud-based applications and infrastructure
• Demonstrated experience leading teams in the safe use of enterprise-authorized AI capabilities within the work environment for security engineering workflows, including validation habits and awareness of data sensitivity.
• Ability to evaluate AI-assisted recommendations before adoption and set review/approval expectations that align to security, resiliency, and auditability outcomes.
• Demonstrated experience developing engineers through coaching, structured code review, and setting and holding delivery quality standards.
• Experience hiring, developing, and recognizing engineering talent across multiple levels.

Preferred qualifications, capabilities, and skills

• Hands-on experience with SaaS Security Posture Management capability, SaaS AI Observability, and SaaS Secure Service Access. platforms or tooling
• Experience with secrets management patterns and credential governance
• Familiarity with third-party risk governance frameworks and how they intersect with SaaS and vendor risk decisions.
• Experience building or operating services that have auth, authorization delegation, scoped access, or API gateway patterns within a regulated enterprise environment.
• Experience operating within a financial services or similarly regulated environment, including familiarity with findings management, audit observations, and control closure processes.