Expoint - all jobs in one place

The point where experts and best companies meet

Limitless High-tech career opportunities - Expoint

JPMorgan Information Architect 
United Kingdom, England 
707829520

08.04.2025

Information Architecture and Data Management continues to be a critical element to delivering on our business objectives and it’s something that is required in order to support the reduction of costs, lowering risk, increasing performance and enabling the transparency of business performance and client satisfaction. There are several associated objectives required of our Information Architecture and Data Management function:

  • Create and maintain accurate, complete and consistent governed Data Models with lineage and metadata to facilitate traceability to other metadata classification such as Data Concepts
  • Collaborate to create, maintain, govern and use Controlled Vocabularies and Data Souring Contracts with our Business Partners and the Chief Data Office.
  • Engage with Software Development teams to determine their requirements for Model Engineering solutions and build prototypes and pilots to explore enhancements and new ways of working.
  • Actively engage with development teams to use, develop and improve Information Architecture standards, tools and processes as part of the development process.
  • Incrementally standardize and simplify the Data and Information Architecture through the rationalization and reduction of models, interfaces and databases.
  • Deliver to firm-wide and sub-LOBs Data Policy and Standards (such as the System of Record and Authoritative Data Sourcing registration and JPMC Business Data Taxonomy).
  • Contribute towards the incremental delivery of the Data Strategy by incrementally moving the applications towards strategic data sourcing and standardization of metadata and tooling.
  • Standardize and innovate Operational and Analytical Data Management in accordance with Reference Architectures and Operating Models.

Experience & KnowledgeEssential

  • Software Engineering experience in a data-centric role with exposure to how data is stored, moved, governed and/or validated/cleaned using Programming Languages such as Java, Javascript or Python.
  • Experience in Data Modelling and Architecture tools such as ERwin, Power Designer and/or Magic Draw or wider use of UML tools or IDEs that integrate modelling tools such as Eclipse.
  • An interest in data and an appreciation of the value it can bring to an organization if it's properly understood, organized and governed.
  • Knowledge of some Data Management technologies such as Relational and Columnar Databases, and/or Data Integration (ETL) or API development.
  • Knowledge of some Data Formats such as JSON, XML and binary formats such as Avro or Google Protocol Buffers.
  • Experience collaborating with business and technical teams in order to understand, translate, review and playback requirements and collaborate to develop Model Engineering solutions.
  • Exposure to working with data sets through tools like SQL, JavaScript or Python
  • Experience communicating unambiguously through multiple channels such as Presentations, Word Documents, workshops and meetings.

Desirable

  • Knowledge of Programming Language Design and Implementation.
  • Knowledge of core Information Architecture capabilities such as Reference Data Management, Data Quality, Metadata Management, Data Taxonomy and Classification and Security and Protection.
  • Knowledge of Financial Services and more specifically Wholesale and Investment Banking.
  • Experience in other Data Standards (preferably Financial) such as SWIFT, FIX or FpML.
  • TOGAF and/or DAMA certification
  • Knowledge and experience of the Software Engineering Methodologies (e.g. Agile)

Capabilities

  • A willingness to bring an outside perspective to the team, ask questions and learn from breadth and depth of experience of the current team.
  • A “growth mindset”, willing to take on challenges
  • The flexibility to be able to switch between concurrent project assignments
  • An ability to envisage and compare potential solutions prior to implementation