Sr Director of Software Engineering Global AuthE

About the role

Lead multiple technical areas within the Chief Technology Office and Identity & Access Management at JPMorgan Chase, driving the adoption and implementation of technical methods across teams to keep the firm at the forefront of industry trends and technological advances.

Responsibilities

• Define and lead the engineering strategy for mission-critical, high-volume customer authentication platforms with strict availability targets.
• Serve as a firmwide senior technology advisor on Customer Authentication and IAM strategy.
• Provide enterprise-level technical leadership and architectural governance for customer authentication platforms, leveraging standards-based protocols (OIDC, SAML2, FIDO2).
• Own and evolve full-stack architecture across application, data, and infrastructure layers (Java services, APIs, databases, messaging, and supporting infrastructure).
• Review and validate solution designs to ensure security, scalability, resiliency, and performance across development, test, and production environments.
• Drive execution across multiple concurrent enterprise initiatives, managing delivery priorities, dependencies, and technical risk.
• Make decisions impacting resourcing, budget, tactical operations, and the implementation of processes and procedures.
• Partner with Product, Operations, Risk, and Lines of Business to align authentication capabilities with business strategy, regulatory expectations, and customer experience goals.
• Lead and mentor globally distributed senior engineering teams, building a culture of engineering excellence, accountability, and continuous improvement.
• Set and scale multi-department strategy for agentic AI-enabled engineering and SDLC/TLM automation using enterprise-authorized tools to drive firmwide objectives (speed, scalability, reliability, and cost-to-serve).
• Establish portfolio-level standards for AI-orchestrated delivery workflows, release governance, automated test modernization, resilience engineering, and incident response acceleration.
• Define guardrails for validation, security, resiliency, traceability, and reuse.
• Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to drive cross-domain reuse and measurable capacity unlock outcomes.

Requirements

• Formal training or certification on software engineering concepts and 10+ years of applied experience.
• 5+ years of experience leading technologists to manage, anticipate, and solve complex technical items within your domain of expertise.
• Enterprise architecture leadership experience owning end-to-end application, data, and infrastructure architecture for large-scale platforms (e.g., Java services, APIs, databases, messaging, cloud/on-prem infrastructure).
• Hands-on software engineering background, with demonstrated ability to write, review, and troubleshoot production-grade code (e.g., Java and related backend technologies), and to coach teams through design and implementation decisions.
• Demonstrated leadership of mission-critical, high-volume customer-facing platforms.
• Proven ability to design/review solutions for security, resiliency, scalability, and performance across dev/test/prod with strong engineering governance.
• Strong technical program execution skills, managing multiple concurrent initiatives, dependencies, prioritization, and delivery risk.
• Experience as a senior decision-maker influencing resources, budget, and operating model/processes across teams.
• Track record of effective cross-functional leadership partnering with Product, Operations, Risk, and Lines of Business, including navigating regulatory and audit expectations for authentication/security controls.
• Proven people leadership: ability to lead and mentor globally distributed senior engineers, building a culture of accountability, engineering excellence, and continuous improvement.
• Experience leading multi-organization adoption of agentic AI-enabled engineering operating models using enterprise-authorized tools, including defining governance (human-in-the-loop decisioning, quality gates), measurement frameworks, and secure handling of sensitive inputs/outputs.
• Deep understanding of responsible AI risk, controls, and resiliency/security expectations at scale, with demonstrated ability to advise senior leaders on safe adoption, portfolio governance, and reuse-first strategies.

Preferred Qualifications

• Experience in IAM and customer authentication, including hands-on experience with OIDC/OAuth2, SAML2, and FIDO2/WebAuthn, plus modern authentication patterns (MFA, risk-based/step-up auth, federation, SSO).
• Excellent executive communication skills, able to translate complex technical trade-offs into clear decisions for senior stakeholders.

Benefits

• Comprehensive health care coverage.
• On-site health and wellness centers.
• Retirement savings plan.
• Backup childcare.
• Tuition reimbursement.
• Mental health support.
• Financial coaching.

Pay

Competitive total rewards package including base salary determined based on the role, experience, skill set, and location. Eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.