At a Glance
- Tasks: Drive metadata and language architecture for AI platforms, creating metamodels and metadata assets.
- Company: Join JPMorganChase, a leader in financial services with a focus on innovation.
- Benefits: Enjoy competitive salary, health benefits, and opportunities for professional growth.
- Other info: Be part of a dynamic team with a commitment to cutting-edge technology.
- Why this job: Shape the future of AI by ensuring data integrity and consistency across complex systems.
- Qualifications: Experience in information architecture and strong collaboration skills are essential.
JPMorganChase seeks a Principal Information Architect to drive metadata and language architecture for AI-enabled platforms. You will develop metamodels, create metadata assets, and design domain-specific languages, while engaging with stakeholders to implement architecture standards across a large engineering environment.
You will collaborate with data offices, product teams, and engineers to ensure semantic consistency, provenance, and secure, auditable data flows across complex systems.
#J-18808-LjbffrPrincipal Information Architect - Metadata & AI Platforms in London employer: JPMorganChase
JPMorganChase is an exceptional employer, offering a dynamic work environment in Greater London where innovation thrives. With a strong commitment to diversity and inclusion, employees benefit from collaborative agile teams, extensive professional development opportunities, and the chance to work on cutting-edge technology products that shape the future of finance. Join us to be part of a culture that values your contributions and supports your growth.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Information Architect - Metadata & AI Platforms in London
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We think you need these skills to ace Principal Information Architect - Metadata & AI Platforms in London
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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!
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