Technology Support Director - Tech Controls Transformation Lead (Agentic)
JPMorgan Chase
- Location
- New York, NY, United States
- Work model
- On-Site
- Level
- Staff
- H-1B history
- 1,524 approvals (FY2023)
- Posted
- Sep 3, 2026
About this role
Join us in a pivotal role where your deep expertise drives operational excellence and a step-change modernization of technology controls for an agentic environment—enhancing system stability, audit readiness, and engineering velocity across full stack technologies. As a Technology Support Director, Tech Control Transformation Lead (Agentic) in the Consumer & Community Bank Technology team, you will lead teams ensuring the operational stability, availability, and performance of our production services while redesigning how controls operate in AI-enabled workflows. You will set strategic direction, influence across engineering, operations, and control partners, and modernize “how we prove it” through automation, instrumentation, traceability, and controls-as-code—reducing manual effort and repeat issues while improving prevention and continuous monitoring.
Job responsibilities
Directly manage multiple areas with strategic and transactional focus to enable technology support teams to deliver end-to-end application or infrastructure service delivery for the successful business operations of the firm Lead the transformation from reactive remediation to a productized control operating model with clear intake, prioritization, delivery, validation, and durable closure mechanics across support processes Redesign technology controls for an agentic environment, shifting from human-only checkpoints to controls that assume AI agents can generate artifacts, recommend actions, and execute workflows with appropriate guardrails and accountability Set reuse-first expectations for enterprise-authorized AI adoption within the work environment across support operations to accelerate incident insights and operational reporting, with human-in-the-loop validation and appropriate handling of sensitive data Establish governance standards for AI-assisted workflows used in incident/problem/change processes (including documentation and trend analysis), ensuring traceability/auditability and alignment to resiliency and security expectations Develop and oversee policies and procedures to ensure operational stability and availability and oversee incident, problem, and change management in support of full stack technology systems, applications, or infrastructure Modernize evidence, traceability, and auditability through controls-as-code patterns, automated evidence capture, and continuous control signals rather than manual attestation Develop and oversee monitoring of production environments for anomalies, address issues, lead evolution utilizing standard observability tools, and ensure issues and solutions are appropriately escalated and communicated with business and technology stakeholders throughout resolution until service is restored Establish reusable control patterns and embedded guardrails across domains such as identity and access, change controls, operational resilience, monitoring/alerting, configuration management, data controls, and third-party/tooling controls Define and operationalize outcome-focused operating rhythms (working groups, prevention forums, and metric routines) that remove blockers, drive root-cause elimination, and measurably improve control and service performance Required qualifications, capabilities, and skills 7+ years of experience or equivalent expertise troubleshooting, resolving, and maintaining information technology services Demonstrated experience leading safe use of enterprise-authorized AI capabilities within the work environment within production support workflows, including validation practices and awareness of data sensitivity Ability to define review/approval, escalation, and accountability expectations for AI-assisted recommendations while maintaining operational, security, resiliency, and auditability outcomes Experience managing applications or infrastructure in a large-scale technology environment both on premises and public cloud Proficient in observability and monitoring tools and techniques