Principal Metadata Architect for AI-Driven Engineering

Next Frontier Capital

Greater London

On-site

GBP 120,000 - 180,000

Full time

14 days+

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Job summary

JPMorganChase is seeking a Principal Information Architect (Executive Director) to drive metadata modeling, domain-specific languages, and tooling across our cloud-enabled engineering environment. This role bridges information architecture and software engineering to build metamodels, vocabularies, and DSLs that make metadata actionable and scalable.

The role emphasizes governance, provenance, and interoperability, with engagement across stakeholders to guide standards and adoption in a complex,

Qualifications

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

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