At a Glance
- Tasks: Lead the development of innovative metadata solutions and cloud-based technologies.
- Company: Join J.P. Morgan, a global leader in financial services with a focus on diversity.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Shape the future of information architecture and make a real impact in tech.
- Qualifications: Experience in information architecture or software engineering with a passion for metadata.
The predicted salary is between 70000 - 90000 £ per year.
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 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.
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.
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.
Principal Information Architect - Metadata Thought Leadership in Bournemouth employer: J.P. Morgan
As a leading global financial institution, we pride ourselves on fostering a dynamic and inclusive work environment that empowers our employees to excel. The Head of Markets Tax Operations role offers unparalleled opportunities for professional growth, collaboration across diverse teams, and the chance to drive innovation in tax operations while working in vibrant locations like Spain, Italy, and Hungary. Join us to be part of a culture that values excellence, embraces technology, and prioritises employee development, ensuring you can make a meaningful impact in your career.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Information Architect - Metadata Thought Leadership in Bournemouth
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like J.P. Morgan!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Principal Information Architect - Metadata Thought Leadership at J.P. Morgan.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like J.P. Morgan.
✨Apply Directly through Our Website
When you find a suitable opening like Principal Information Architect - Metadata Thought Leadership at J.P. Morgan, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Principal Information Architect - Metadata Thought Leadership in Bournemouth
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at J.P. Morgan, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at J.P. Morgan. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at J.P. Morgan
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at J.P. Morgan!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
