JPMorgan Senior Lead Architect - CIB 

United Kingdom, England, London 

614962317

Job Responsibilities

• 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 Sourcing Contracts with 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, CIB, 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 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.

Required qualifications, capabilities and skills

• Formal training or certification on Software Engineering concepts and proficient advanced experience
• 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 modeling tools such as Eclipse.
• An interest in data and an appreciation of the value it can bring to an organization if 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 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.

Preferred qualifications, capabilities and skills

• 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, 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 Software Engineering Methodologies (e.g., Agile).

Capabilities

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