Principal Information Architect

JP Morgan Chase

Greater London

On-site

GBP 62,000 - 102,000

Full time

5 days ago
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Job summary

JPMorganChase in London seeks a Principal Information Architect to lead metamodel development and metadata strategy for AI-enabled platforms. You will design DSLs, tooling, and governance to ensure semantic consistency, provenance, and auditability across engineering workflows.

The role requires collaboration with business and tech teams to translate requirements into scalable IA standards and reusable patterns. Experience with UML, MOF, and data modeling is essential.

Qualifications

  • Experience creating logical and physical data models and explaining them clearly to audiences.
  • Experience applying metamodel concepts to structure modeling approaches.
  • Experience with controlled vocabularies and metadata standards.

Responsibilities

  • Develop and maintain metamodels to support business needs.
  • Create and evolve metadata assets including vocabulary, mappings, lineage, and data content descriptions.
  • Build and maintain mappings between metadata and software assets.
  • Design and maintain domain-specific languages representing metadata.
  • Prototype tooling that captures, validates, transforms, and generates code from metadata.
  • Engage with stakeholders to communicate Information Architecture vision and standards.
  • Architect metadata foundations for AI capabilities with provenance and interoperability.

Skills

Data modeling
UML & MOF concepts
Metadata governance
Mappings & provenance
DSL and language translation
Programming: Java/JS/Python/C++
Language tooling (parsers/compilers)
Requirements collaboration
AI metadata architecture
Academic background in IA

Education

Academic background in Information Architecture

Tools

MagicDraw
PowerDesigner
Eclipse-based tooling
UML tooling
JSON
XML

Job description

Salary: £62,000 - 102,000 per year

Requirements:
  • We need experience creating logical and physical data models and explaining them clearly to technical and non-technical audiences
  • We need experience using UML modeling tools such as MagicDraw, PowerDesigner, or Eclipse-based tooling
  • We need experience applying metamodel concepts such as UML and MOF to structure and govern modeling approaches
  • We need experience working with controlled vocabularies and metadata standards to drive consistency and reuse
  • We need experience producing and interpreting mappings and lineage to explain how data is related, moved, and transformed
  • We need the ability to translate between models and their representations in programming and schema languages, including building or maintaining domain‑specific languages and abstract syntax structures
  • We need programming experience in one or more languages such as Java, JavaScript, Python, or C++
  • We need experience implementing language tooling components such as parsers, interpreters, compilers, debuggers, or related frameworks
  • We need the ability to prototype solutions independently and navigate ambiguous design and functionality problems
  • We need experience collaborating with business and technical teams to understand, translate, review, and playback requirements
  • We need demonstrated experience designing metadata and language architecture that supports AI‑enabled solutions, including enforceable semantics, lineage and provenance, and integration into scalable platforms with resiliency, security, and auditability requirements
  • Preferred: exposure to code generation patterns and the development or use of code generators
  • Preferred: familiarity with data management technologies such as relational or columnar databases, data integration (ETL), or API development
  • Preferred: familiarity with data formats such as JSON, XML, Avro, or Google Protocol Buffers
  • Preferred: comfort engaging with the algorithms and mathematics behind languages, tooling, and data processing
  • Preferred: academic background paired with hands‑on implementation experience
  • Preferred: interest in how strong Information Architecture and models enable modern software development and engineering discipline
  • Preferred: awareness of how modeling and metadata practices support regulatory and control requirements
Responsibilities:
  • We will develop and maintain the metamodel to support current and emerging business needs
  • We will create and evolve metadata assets, including controlled vocabulary, mapping, lineage, transformation, and data content descriptions
  • We will build and maintain mappings between metadata and software engineering assets
  • We will design and maintain domain‑specific languages that represent metadata, including their underlying structures
  • We will prototype and maintain tooling that captures, integrates, validates, transforms, generates code from, reports on, and presents metadata
  • We will engage with customers, the Chief Data Office, product owners, Information Architects, development teams, and other stakeholders to communicate our Information Architecture vision and standards and support effective implementation
  • We will architect metadata and language foundations that enable AI solution capabilities, including semantic consistency, provenance and lineage, policy tagging, and interoperability across engineering workflows
  • We will establish reuse‑first, metadata‑driven engineering patterns and governance that support AI‑enabled platforms through well‑defined models, DSLs, and tooling integrations
Technologies:
  • AI
  • API
  • Architect
  • ETL
  • Eclipse
  • Support
  • JSON
  • Java
  • JavaScript
  • Python
  • Security
  • UML
  • XML
  • Cloud
More:

We are JPMorganChase, a global leader in financial services and a major part of the Commercial & Investment Bank, serving corporations, governments, institutions, wealthy individuals, and investors in more than 100 countries. In this Principal Information Architect, Metadata role, we work at the intersection of Information Architecture and Software Engineering, building models, languages, and tooling that help teams move faster with clarity and control. We offer the opportunity to grow technical breadth, influence standards across a large and complex environment, and contribute to trusted, long‑term client partnerships. We are committed to diversity and inclusion, equal opportunity, and reasonable accommodations.

last updated 36 week of 2026

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