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JPMorgan Chase & Co.

Principal Information Architect – Metadata Thought Leadership

London
Posted about 21 hours ago
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Principal Information Architect (Executive Director) at JPMorganChase

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

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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

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Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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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

Preferred qualifications, capabilities, and skills

  • 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

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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 J.P. Morgan

J.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.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

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Skills

Information Architecture
Metadata Management
Data Modeling
UML
Domain-Specific Languages
Java
Python
JavaScript
C++
Metamodeling
Lineage Mapping
AI Architecture
Software Engineering
Controlled Vocabularies
Tooling Prototyping
Data Governance

Location

London, England, United Kingdom

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