MUFG Trade Finance Software Engineering, Vice President
We are seeking a highly skilled and experienced Software Engineering Vice President to serve as the technology lead for our Trade Finance solutions. This individual contributor will provide technical direction across architecture, engineering, integration, data, cloud, security, and platform modernization. The role will be partnered closely with engineering teams, product management, operations, compliance, vendors, and other stakeholders to deliver secure, scalable, and resilient solutions. Expertise in commercial banking products, payment processing, lending, and platforms such as CGI Trade360 or Loan IQ will be important for advancing our Trade Finance capabilities and customer experience.
The ideal candidate will combine strong Trade Finance domain knowledge with deep application and solution architecture expertise, hands-on engineering judgment, and practical AI and generative AI experience. The technology lead will influence technical decisions, establish engineering standards, guide delivery teams, reduce technology risk, and accelerate the modernization of MUFG's Trade Finance technology platform without having direct people-management responsibility.
Education:
Bachelor's or master's degree in computer science, software engineering, or a closely related discipline, or equivalent professional experience.
Work Experience:
Minimum of 10 years of hands-on software development experience, including at least 5 years providing leadership across complex applications or platforms.
Strong understanding of commercial banking products, including lending, Trade Finance, and Supply Chain Finance.
Experience with CGI Trade360, Loan IQ, or another application supporting Trade Finance products is a plus.
Proficiency in application and solution architecture, microservices, APIs, integration patterns, and cloud technologies such as AWS, Azure, or Google Cloud.
Application development experience on data platforms, including SQL, extract-transform-load (ETL) tools, and object-oriented programming languages such as Java, Python, or C#.
Experience with Informatica Intelligent Data Management Cloud (IDMC) is a plus.
Demonstrated ability to influence technical direction and facilitate architecture decisions.
Strong problem-solving, communication, and collaboration skills, with the ability to work effectively in a fast-paced environment.
Experience working with cross-functional teams in Agile delivery environments.
General understanding of user interface design principles and best practices.
Experience designing end-to-end data pipelines and CI/CD pipelines for application delivery.
Familiarity with Microsoft Copilot, Azure OpenAI, OpenAI services, Amazon Bedrock, or equivalent enterprise AI platforms.
Ability to define AI strategy, evaluate business cases, establish governance controls, and guide AI-enabled transformation initiatives across technology and business teams.
Strong understanding of data engineering, data quality, and model lifecycle management to support enterprise AI adoption.