Principal Metadata Architect for AI-Driven Cloud Platforms

JPMorgan Chase & Co.; Greater London; On-site; GBP 140,000 - 190,000; Full time

Job summary

JPMorganChase is seeking a Principal Information Architect (Executive Director) to drive metadata-rich software engineering across a large enterprise. You will define metamodels, vocabularies, and DSLs, integrating metadata with engineering workflows to enable scalable, auditable, and compliant AI-enabled platforms.

The role emphasizes thought leadership in information architecture, collaboration with data offices, product teams, and engineering groups, and a strong focus on interoperability,

Qualifications

• Create logical and physical data models and express them clearly for both technical and non-technical audiences.
• Use UML modeling tools (e.g., MagicDraw, PowerDesigner, or Eclipse-based tooling).
• Apply metamodel concepts (e.g., 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 a model and its representation in programming and schema languages; build DSLs and their structures.
• Program in languages such as Java, JavaScript, Python, or C++. Implement language tooling components.

Responsibilities

• Develop and maintain the metamodel to support current and emerging business needs.
• Create and evolve 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 and their underlying structures.
• Prototype and maintain tooling that captures, validates, transforms, generates code from, reports on, and presents metadata.
• Engage with stakeholders to communicate the Information Architecture vision and standards.
• Architect metadata and language foundations that enable AI solution capabilities with provenance, policy tagging, and interoperability.
• Establish reuse-first, metadata-driven engineering patterns and governance for AI-enabled platforms.

Skills

UML modeling

Data modeling

Metamodel concepts

Java

Python

Language tooling

Tools

MagicDraw

PowerDesigner

Eclipse-based tooling

Job description

JPMorganChase is seeking a Principal Information Architect (Executive Director) to drive metadata-rich software engineering across a large enterprise. You will define metamodels, vocabularies, and DSLs, integrating metadata with engineering workflows to enable scalable, auditable, and compliant AI-enabled platforms.

The role emphasizes thought leadership in information architecture, collaboration with data offices, product teams, and engineering groups, and a strong focus on interoperability,