at J.P. Morgan
Bulge Bracket Investment BanksPosted 8 days ago
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**Senior Lead Architect: Information Architecture** Lead our architecture team in Wilmington, DE, driving business impact in financial services. As a senior lead, you'll develop high-quality solutions, collaborate across LOBs and functions, and represent CCB Risk in technical governance bodies. Key responsibilities include: - Contributing to architecture designs while representing data governance concerns - Overseeing data governance practices and tooling - Driving data product initiatives and curating data strategy with product and tech teams - Leveraging enterprise AI capabilities for architecture analysis and decision-making - Establishing AI-enabled engineering patterns and ensuring traceability, resiliency, and security controls This role requires 5+ years of architecture experience, a strong understanding of information architecture and data governance, and advanced skills in one or more programming languages. Familiarity with Databricks Lakehouse, AWS Cloud, basic data modeling tools, and SQL is preferred. Join us to shape the future of technology at JPMorganChase.
- Compensation
- Not specified
- City
- Not specified
- Country
- United States
Currency: Not specified
Full Job Description
Location: Wilmington, DE, United States
Job responsibilities
- Represents a product family in technical governance bodies and proposes improvements to architecture governance practices
- Contribute to architecture designs and reviews, representing data governance and data management concerns.
- Oversee the CCB Risk Tech data governance practices and tooling.
- Interpret and drive firm-wide Data Product initiative within CCB Risk.
- Collaborate with Product and Tech teams to curate and advance CCB Risk Data Strategy.
- Engage to identify and support the sharing and adoption of common data-related capabilities (metadata generation, interoperability, data quality and observability, etc).
- Represent a product family in technical governance bodies and propose improvements to architecture governance practices.
- Provide technical guidance and direction to support the business and its technical teams, contractors, and vendors.
- Leverages enterprise-authorized AI capabilities within the work environment to accelerate architecture analysis and decisioning across the product family, with human-in-the-loop validation and appropriate handling of sensitive data.
- Drive decisions that influence product design, application functionality, and technical operations and processes.
- Establishes reuse-first AI-enabled engineering patterns and governance across SDLC/toolchain practices, ensuring traceability/auditability, resiliency, and security controls.
- Formal training or certification on architecture concepts and 5+ years applied experience
- Minimum 10 years of relevant work experience or played a major role in technology implementation projects.
- Strong understanding of information architecture (data lineage), data management/data governance principles (data quality), and working knowledge of data catalog.
- Strong communication skills and ability to partner and collaborate with different personas across multiple forums.
- Ability to learn new tools, adopt new trends, and deliver strategic and tactical solutions efficiently using AI.
- Basic knowledge and experience with data modeling and meta-modeling.
- Hands-on practical experience delivering system design, application development, testing, and operational stability.
- Advanced in one or more programming language(s) and deep expertise in software architecture, applications, and technical processes within one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.).
- Demonstrated experience applying enterprise-authorized AI capabilities within the work environment in architecture and engineering workflows with strong validation habits and awareness of data sensitivity.
- Knowledge of basic information architecture capabilities like Metadata Management, Data Integration, and Data Migration.
- Knowledge of Databricks Lakehouse ecosystem and AWS Cloud platform/services.
- Ability to write advanced SQL and analyze data as needed. Hands-on research using SQL and AI.
- Basic knowledge of Erwin and/or MagicDraw data modeling tool to view and navigate data models if needed.
- Ability to tackle design and functionality problems independently with little to no oversight.
- Ability to evaluate current and emerging technologies to select or recommend the best solutions for the future state architecture.
- Strong judgment and communication skills to influence technical direction across teams.
