Step up as a tech leader and innovator with your knowledge and mentorship of security engineers. Lead teams to excellence in this high-impact role.
As a Senior Manager of Security Engineering at JPMorganChase within the Cybersecurity Technology and Controls, you serve in a leadership role by providing technical coaching and advisory for multiple technical teams, as well as anticipate the needs and potential dependencies of other functions within the firm. As an expert in your field, your insights influence budget and technical considerations to advance operational efficiencies and functionalities.
Job responsibilities
- Provides overall direction, oversight, and coaching for a team of entry-level to mid-level security engineers that work on basic to moderately complex tasks
- Be accountable for decisions that influence teams’ resources, budget, tactical operations and the execution and implementation of processes and procedures.
- Drives reuse-first adoption of enterprise-authorized AI capabilities within the work environment across security engineering teams to improve productivity and decision quality (e.g., accelerating analysis and documentation), with human-in-the-loop validation and appropriate handling of sensitive data.
- Ensures successful collaboration across teams and stakeholders
- Identifies and mitigates issues to execute a book of work while escalating issues as necessary
- Provides input to leadership regarding budget, approach, and technical considerations to improve operational efficiencies and functionality for the team
- Creates a culture of diversity, opportunity, inclusion, and respect for team members, and prioritizes diverse representation.
- Establishes standards for AI-assisted workflows used in delivery routines, ensuring traceability/auditability and alignment to security and resiliency expectations.
- Formal training or certification on security concepts and 5+ years of applied experience in software engineering or software development, including experience building internal tools or workflow automation
- Skilled in planning, designing, and implementing enterprise-level solutions.
- 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 review and validate AI-assisted security recommendations before adoption, escalate uncertainty appropriately, and ensure outcomes align to security, resiliency, and auditability expectations.
- Experience building internal tools, workflow automation, or pipeline management systems
- Expertise in IAM technologies: OAuth2.0, SAML, ABAC, RBAC, PBAC, OPA.
- Advanced proficiency in Java, Python, or Node.js—production-quality code
- Advanced understanding of agile methodologies, CI/CD, Application Resiliency, Security, Service Ownership
- Extensive experience with threat modeling, discovery, vulnerability, and penetration testing
ReqRequired qualifications, capabilities, and skills
Preferred qualifications, capabilities, and skills
- Experience with dashboard and reporting tools: Grafana, Splunk, Prometheus, custom dashboards.
- Experience with hybrid identity environments: Azure AD/Entra ID Connect, AWS Cognito, OIDC Federation
- Familiarity with regulated industry environments (financial services, healthcare, government)
- Experience with BloodHound, SharpHound, or equivalent AD attack path analysis tools
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