Senior Director of Software Engineering - Post Trade Technology -Operations Case Management & AI Automation Platforms

Your opportunity to make a real impact and shape the future of financial services is waiting for you. Let's push the boundaries of what's possible together. As a Senior Director of Software Engineering at JPMorganChase within the Corporate and Investment Bank, Post Trade Technology -Operations Case Management & AI Automation Platforms, you will lead a global technology organization with end-to-end build-and-run ownership of a strategic case management, workflow/task orchestration, and automation platforms utilized across the CIB. The platform supports more than 10,000 users and is engineered to a 99.99% uptime target, enabling critical daily operations and client service through event-based intake (exceptions and email), integration with systems of record, automation through AI capabilities, and robust audit trails, controls and analytics. Job responsibilities Define and execute a strategy that includes convergence of operational workflows onto a single highly scalable platform. Drive platform evolution across case management, workflow/task orchestration, event intake, automation integration, AI enablement, auditability, and analytics. Lead design and delivery within a hybrid cloud architecture (on-prem + AWS), establishing strong engineering practices: architecture governance, data design, security, SDLC, CI/CD, automated testing, performance engineering, scalability and resiliency. Own delivery against a 99.9% uptime target ; partner with Production Support and SRE to ensure effective incident response, problem management, and recurrence prevention. Lead major incident governance, post-incident reviews, corrective action plans, and resiliency testing. Deliver AI-integrated capabilities that improve operational execution and client service (e.g., intelligent intake/triage, routing, case enrichment, agent assist resolution), with appropriate controls and governance. Enable integration with automation solutions and systems of record to increase straight-through processing and reduce manual touchpoints. Ensure comprehensive audit trails and analytics/MI to support operational transparency, performance management, and audit readiness. Maintain governance for access, change/release, data protection, and control remediation. Partner with Operations, Control functions, and Product team to align priorities, manage dependencies, and deliver meaningful outcomes. Communicate clearly to senior stakeholders on platform health, delivery progress, risk, and investment. Lead and develop a high-performing global organization (engineers, engineering leads, BAs), including talent strategy, hiring, coaching, and succession planning. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 10+ years applied experience. In addition, 5+ year of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise and more broadly across the organization Demonstrated experience leading global, distributed teams and operating with strong execution discipline across time zones. Track record of owning reliability outcomes for platforms with demanding availability targets (e.g., 99.99% uptime), including executive-level incident leadership and remediation governance. Expertise in case management/workflow/task orchestration and event-driven architecture (e.g., Kafka-based intake). Strong experience with Kubernetes and hybrid architecture (on-prem + AWS), including observability and performance engineering. Proven ownership of technology budgets and delivery within financial constraints across people, infrastructure, and software. Excellent stakeholder management skills; ability to partner effectively with Operations and Product leadership. Preferred qualifications, capabilities, and skills Experience integrating AI into operational workflows with appropriate governance and human-in-the-loop controls. Experience with Camunda (or similar workflow engines) and enterprise-scale audit/analytics for case lifecycle management. Modernization experience in hybrid cloud, including resiliency patterns, cost optimization, and multi-deployment strategies.