JP Morgan Chase

Runs a consumer bank and an investment bank

Senior Lead Architect: Information Architecture

Data ManagementConfirmed live in the last 24 hours

Full-timeNo salary listedRemote

About the Job

Requirements

Formal training or certification on architecture concepts and at least 5 years of applied experience.
At least 10 years of relevant work experience or a major role in technology implementation projects.
Strong understanding of information architecture, including data lineage, data management and data governance principles, including data quality, and working knowledge of data catalogs.
Strong communication skills and the 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 artificial intelligence.
Basic knowledge and experience with data modeling and metamodeling.
Hands-on practical experience delivering system design, application development, testing, and operational stability.
Advanced proficiency in one or more programming languages and deep expertise in software architecture, applications, and technical processes within one or more technical disciplines, such as cloud, artificial intelligence, machine learning, or mobile.
Demonstrated experience applying enterprise-authorized artificial intelligence capabilities in architecture and engineering workflows, with strong validation habits and awareness of data sensitivity.

Responsibilities

Represent a product family in technical governance bodies and propose improvements to architecture governance practices.
Contribute to architecture designs and reviews, representing data governance and data management concerns.
Oversee CCB Risk Technology data governance practices and tooling.
Interpret and drive the firm-wide Data Product initiative within CCB Risk.
Collaborate with Product and Technology teams to curate and advance the CCB Risk Data Strategy.
Identify and support the sharing and adoption of common data-related capabilities, including metadata generation, interoperability, data quality, and observability.
Provide technical guidance and direction to support the business and its technical teams, contractors, and vendors.
Use enterprise-authorized artificial intelligence capabilities to accelerate architecture analysis and decision-making 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.
Establish reuse-first, artificial-intelligence-enabled engineering patterns and governance across software development lifecycle and toolchain practices, ensuring traceability, auditability, resiliency, and security controls.

Desired Qualifications

Knowledge of basic information architecture capabilities, including metadata management, data integration, and data migration.
Knowledge of the Databricks Lakehouse ecosystem and Amazon Web Services cloud platform and services.
Ability to write advanced Structured Query Language and analyze data as needed, including hands-on research using Structured Query Language and artificial intelligence.
Basic knowledge of Erwin and/or MagicDraw data modeling tools to view and navigate data models.
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 future-state architecture.
Strong judgment and communication skills to influence technical direction across teams.

If you are excited about shaping the future of technology and driving significant business impact in financial services, we are looking for people just like you. Join our team and help us develop game-changing, high-quality solutions.

As a Senior Lead Architect at JPMorganChase within the Enterprise Risk Technology team of Corporate Sector you are an integral part of a team that works to develop high-quality architecture solutions for various software applications and platforms products. You drive significant business impact and help shape the target state architecture through your capabilities in multiple architecture domains. Provide expert knowledge of application architecture and consult to Business and Technology teams when detailed application architecture knowledge is needed, and identify/mitigate risks to delivering solution on time.

You will partner with architects and cross-functional stakeholders across multiple LOBs and Corporate Functions to translate guidance from Data Strategy, Data Governance, Risk Management, and Compliance into actionable solutions for Risk Technology and Product teams.

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.

Required qualifications, capabilities, and skills

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.

Preferred qualifications, capabilities, and skills

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.

About the Company

JP Morgan Chase

Runs a consumer bank and an investment bank

JPMorgan Chase runs the largest bank in the United States, which serves households and small businesses as Chase and large companies, governments, and investors as J.P. Morgan. During the 2008 financial crisis it bought the failing investment bank Bear Stearns and lender Washington Mutual, and in 2023 it took over First Republic Bank after regulators seized it. Chase takes deposits and earns interest on credit cards, mortgages, and car loans, while the investment side earns fees for advising on mergers, raising money for companies, trading stocks and bonds, and managing wealth. Formed in a 2000 merger, JPMorgan Chase traces its roots to 1799 and is based in New York City.

Company size: 10,001+
Company stage: IPO
Headquarters: New York City, New York
Founded: 1799

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