JPMorgan Sr Lead Architect Information 

United States, New York, New York 

53933860

Job responsibilities

• Actively engage with development teams to use, develop, and improve Information Architecture standards, tools, and processes as part of the development process.
• Provide feedback and propose improvements to architecture governance practices.
• Collaborate to create, maintain, govern, and use Controlled Vocabularies with Business Partners and the Chief Data Office.
• 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.
• Guide evaluation of current technology and lead evaluation of new technologies using existing standards and frameworks.
• Regularly provide technical guidance and direction to support the business and its technical teams, contractors, and vendors.
• Drive decisions that influence product design, application functionality, and technical operations and processes.
• Serve as a function-wide subject matter expert in one or more areas of focus.
• Standardize and innovate Operational and Analytical Data Management in accordance with Reference Architectures and Operating Models.
• Add to team culture of diversity, opportunity, inclusion, and respect.

Required qualifications, capabilities, and skills

• Formal training or certification on Information Architecture concepts and 5+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• 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 Python, Java, or JavaScript.
• 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.
• Advanced knowledge of software architecture, applications, and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Ability to tackle design and functionality problems independently with little to no oversight
• Ability to evaluate current and emerging technologies to select or recommend the best solutions for the future state architecture
• Knowledge of some Data Management technologies such as Relational and Columnar Databases, and/or Data Integration (ETL) or API development and 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.
• Understanding the value of a team culture of diversity, opportunity, inclusion, and respect.

Preferred qualifications, capabilities, and skills

• Knowledge of Programming Language Design and Implementation.
• 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.
• Knowledge and experience of Software Engineering Methodologies (e.g., Agile).
• 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 and an ability to envisage and compare potential solutions prior to implementation.