Lead Architect Information Architect Vice President

As a Lead Architect at JPMorgan Chase within the Corporate Investment Bank Information Architecture team youare an integral part of a team that works to develop high-quality architecture solutions for various software applications and platforms products. You drive significant business impact and help shape the target state architecture through your capabilities in multiple architecture domains. You will play a crucial role in delivering maintaining and promoting the adoption of standards components processes and tools that support the broader function of Data Management. Additionally you will have the opportunity to collaborate with Corporate Investment Bank Technology Global Technology and other Lines of Business to develop contemporary and innovative engineering methods.

Job responsibilities

• Actively engage with development teams to use develop and improve Information Architecture standards tools and processes as part of the development process.
• Provides feedback and proposes 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.
• Guides evaluation of current technology and leads evaluation of new technologies using existing standards and frameworks.
• Regularly provides technical guidance and direction to support the business and its technical teams contractors and vendors.
• Drives decisions that influence product design application functionality and technical operations and processes.
• Serves 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.
• Adds to team culture of diversity opportunity inclusion and respect.

Required qualifications capabilities and skills

• 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 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.
• 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.
• 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.
• Adds to 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.

• An ability to envisage and compare potential solutions prior to implementation