Step into the role of a Principal Information Architect (Executive Director) at JPMorganChase and become a promoting force behind the development and adoption of cutting-edge, cloud-based technologies. Make metadata real, usable, and impactful in modern engineering. In this role, you’ll sit at the intersection of Information Architecture and Software Engineering—building models, languages, and tooling that help teams move faster with clarity and control. You’ll have room to grow your craft, deepen your technical breadth, and influence standards across a large, complex environment.
As a Principal Information Architect, Metadata at JPMorganChase within the Commercial & Investment Bank, you will connect enterprise modeling and metadata practices to real software engineering assets and workflows. You will develop metamodels, controlled vocabularies, mappings, lineage, and domain-specific languages that make metadata actionable. You will prototype and maintain tooling that captures, validates, transforms, and presents metadata to support current and emerging needs. You will influence direction through thought leadership (not people management), partnering with stakeholders to drive standards and adoption. You will help ensure models and metadata support development practices and regulatory asks in a clear, implementable way.
This could suit a strong Information Architect with metadata experience and an interest in software development, or a strong Software Engineer with metadata and language experience wishing to grow into an Information Architect role. It might also support someone with an academic background, with some hands-on experience.
Job responsibilities
• Develop and maintain the metamodel to support current and emerging business needs
• Create and evolve novel metadata assets, including controlled vocabulary, mapping, lineage, transformation, and data content descriptions
• Build and maintain mappings between metadata and software engineering assets
• Design and maintain domain-specific languages that represent metadata, including their underlying structures
• Prototype and maintain tooling that captures, integrates, validates, transforms, generates code from, reports on, and presents metadata
• Engage with customers, the Chief Data Office, product owners, Information Architects, development teams, and other stakeholders to communicate the Information Architecture vision and standards, and support effective implementation
• Architect metadata and language foundations that enable AI solution capabilities, including semantic consistency, provenance/lineage, policy tagging, and interoperability across engineering workflows
• Establish reuse-first, metadata-driven engineering patterns and governance that support AI-enabled platforms (e.g., traceability/auditability, resiliency, and security controls) through well-defined models, DSLs, and tooling integrations
Required qualifications, capabilities, and skills
• Create logical and physical data models and express them clearly for both technical and non-technical audiences
• Use UML modeling tools (for example, MagicDraw, PowerDesigner, or Eclipse-based tooling)
• Apply metamodel concepts (for example, UML and MOF) to structure and govern modeling approaches
• Work with controlled vocabularies and metadata standards to drive consistency and reuse
• Produce and interpret mappings and lineage to explain how data is related, moved, and transformed
• Translate between what is in a model and its corresponding representation in programming and schema languages. Build or maintain domain-specific languages, including their abstract syntax structures
• Program effectively in one or more languages such as Java, JavaScript, Python, or C++. Implement language tooling components such as parsers, interpreters, compilers, debuggers, or related frameworks
• Prototype solutions independently and navigate ambiguous design and functionality problems
• Collaborate with business and technical teams to understand, translate, review, and playback requirements
• Intimately understand the relationship between what is in a model and its corresponding representation in other programming and schema languages. Similarly, for domain specific languages and ASTs.
• Demonstrated experience designing metadata/language architecture that supports AI-enabled solutions, including enforceable semantics, lineage/provenance, and integration into scalable platforms with resiliency, security, and auditability requirements
• Exposure to code generation patterns and the development or use of code generators. Familiarity with data management technologies such as relational or columnar databases, data integration (ETL), or API development
• Familiarity with data formats such as JSON, XML, Avro, or Google Protocol Buffers
• Comfort engaging with the algorithms and mathematics behind languages, tooling, and data processing
• Academic background paired with hands-on implementation experience
• Interest in how strong Information Architecture and models enable modern software development and engineering discipline
• Awareness of how modeling and metadata practices support regulatory and control requirements
If you’re someone who enjoys working across modeling, metadata, languages, and software engineering—and you like bringing clarity, standards, and practical tooling to complex environments—we’d like to hear from you.
About UsJ.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.Skills Required
- Create logical and physical data models and communicate them to technical and non-technical audiences
- Use UML modeling tools (MagicDraw, PowerDesigner, Eclipse-based tooling)
- Apply metamodel concepts (UML and MOF) to structure and govern modeling approaches
- Work with controlled vocabularies and metadata standards to drive consistency and reuse
- Produce and interpret mappings and lineage to explain data relationships, movement, and transformation
- Translate between models and programming/schema languages; build or maintain domain-specific languages and ASTs
- Program effectively in one or more languages such as Java, JavaScript, Python, or C++
- Implement language tooling components such as parsers, interpreters, compilers, or related frameworks
- Prototype solutions independently and navigate ambiguous design and functionality problems
- Collaborate with business and technical teams to understand, translate, review, and validate requirements
- Design metadata/language architectures that support AI solutions with semantics, lineage, provenance, security, and auditability
- Exposure to code generation patterns and familiarity with relational/columnar databases, ETL, or API development
- Familiarity with data formats such as JSON, XML, Avro, or Google Protocol Buffers
- Academic background paired with hands-on implementation experience
- Awareness of how modeling and metadata practices support regulatory and control requirements
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental health coverage are comprehensive, with on-site clinics, preventive care, and specialized supports such as maternity nurse guidance and fertility treatments. Wellness activities can help offset copays and out-of-pocket costs, reinforcing the perceived strength of health benefits.
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Retirement Support — A 401(k) with dollar-for-dollar matching and additional automatic pay credits reflect strong employer-backed retirement savings. An employee stock purchase plan and related financial programs further bolster long-term financial support.
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Leave & Time Off Breadth — Paid time off, sick time, holidays, and generous parental leave are provided alongside family medical leave and adoption/fertility assistance. Additional programs like caregiver support and volunteer time off expand the breadth of time-away options.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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