Lead Data Architect, Consumer Card Technology

Your goal is to become a key player among other imaginative thinkers who share a common commitment to continuous improvement and meaningful impact.

Don't miss this chance to collaborate with brilliant minds and deliver premier solutions that set a new standard.

As a Lead Data Architect at JPMorganChase within the Card Technology Team in CIB, you are an integral part of a team that works to develop high-quality data architecture solutions for various software applications on modern cloud-based technologies.

As a core technical contributor, you are responsible for carrying out critical data architecture solutions across multiple technical areas within various business functions in support of project goals.

Job Responsibilities



* Engages technical teams and business stakeholders to discuss/propose data architecture approaches to meet current and future needs.


* Leverages enterprise-authorized AI capabilities within the work environment to accelerate data architecture analysis and decisioning (e.g., option evaluation and documentation), validating outputs and handling data according to sensitivity and security requirements.


* Defines the data architecture target state of their product and drives achievement of the strategy.


* Participates in data architecture governance bodies and evaluates recommendations for new technology, providing feedback


* Executes creative data architecture solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems


* Develops secure and high-quality production code and reviews and debugs code written by others


* Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems


* Leads evaluation sessions with external vendors, startups, and internal teams and leads data architecture communities of practice to drive awareness, evaluation, and use of new and leading-edge data architecture technologies


* Drives reuse-first adoption of AI-assisted data validation within SDLC/toolchain routines, improving quality checks and operational stability with traceability/auditability and resiliency expectations.

Required qualifications, capabilities, and skills



* Formal training or certification on data architecture concepts and 5+ years applied experience (NAMR/APAC - India/ LATAM/ Hong Kong)


* Hands-on practical experience delivering system design, application development, testing, and operational stability


* Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support data architecture workflows with strong validation habits and awareness of data sensitivity.


* Ability to assess and validate AI-assisted data architecture recommendations before adoption, escalating uncertainty and ensuring outcomes align...