What are the responsibilities and job description for the Lead Data Architect, Consumer Card Technology position at JPMorgan Chase?
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.
- 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 to resiliency, security, and auditability expectations.
- Advanced knowledge of architecture, one or more programming language(s), and one or more software/application/architecture disciplines
- Proficient in SDLC execution, including automation and continuous delivery practices
- Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., Cloud, AI/ML, mobile, etc.)
- Practical cloud native experience
Ability to evaluate current and emerging technologies to recommend the best data architecture solutions for the future state architecture
Preferred qualifications, capabilities, and skills