Lead Software Engineer (Process and Intelligence Automation)

About this role

At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed.  We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One.

## Job Description

U.S. Bank is seeking an experienced software engineer to design, develop, and operationalize our enterprise architecture operations and technology intelligence capability. As a member of the Enterprise Architecture team, this role closely partners with architecture and technology stakeholders to streamline architecture and IT processes and enable capabilities to provide meaningful technology intelligence that facilitates technology strategy, planning and efficient IT operations. This position combines deep hands-on expertise in AI, programming languages (e.g. Python), data modeling and ETL, Architecture Tooling (SaaS), Cloud (AWS), and process automation. The ideal candidate will have a blend of strategic and practical design thinking, solving complex enterprise technology problems with enterprise grade solutions. 

Key Responsibilities

Process Engineering

• Redesign architecture operational processes and build automations using AI, process tooling and code

• Build automations to collect business process data and enable an enterprise process intelligence repository

• Build and deploy process automation solutions on the cloud and with SaaS products

Data and Meta Model Engineering

• Design and implement an enterprise meta model graph that acts as a “digital twin” of U.S. Bank’s IT operations
• Leverage data transformation tool (e.g. VaultSpeed) to transform data into consumable data products (...