Lead Data Platform & Analytics Engineer – Movement Data Platform

Job Description

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.

This position will be responsible for the analysis, design, testing, development and maintenance of best in class software experiences. The candidate is a self‑motivated individual who can collaborate with a team and across the organization. The candidate takes responsibility of the software artifacts produced adhering to U.S. Bank standards in order to ensure minimal impact to the customer experience. The candidate will be adept with the agile software development lifecycle and Dev Ops principles.

• Lead the architecture, integration, and analytics of money movement data (ACH, Wires, RTP, Fed Now) across multiple source systems into a unified, scalable data platform
• Design, build, and maintain data pipelines, models, and semantic layers using Databricks, Azure Synapse, and Microsoft Fabric
• Perform deep analysis of payment transaction data to identify trends, risks, and opportunities; translate findings into actionable insights for business and compliance partners
• Apply advanced analytics, statistical techniques, and machine learning to develop predictive models, including use cases such as payment optimization and fraud detection
• Provide technical leadership on data architecture, modeling standards, BI frameworks, and best practices for payments and money movement analytics
• Partner closely with payments, compliance, and technology teams to prioritize analytics needs and deliver a holistic view of transaction data
• Define and enforce BI and data platform standards
  , ensuring alignment with enterprise architecture and governance
• Select and optimize BI tools, features, and data loading processes to support complex payment data models and analytics use cases
• Measure outcomes of analytics‑driven recommendations, monitor performance, and continuously refine solutions
• Support and influence enterprise process improvement initiatives related to payments and money movement
• Establish benchmarks and incorporate industry best practices to drive innovation through predictive and advanced analytics
• Provide guidance, consultation, and enablement to business users and BI developers
  , including training and adoption support

• Bachelor’s degree, or equivalent work experience
• Six to eight years of relevant experience

• Experience building and supporting data and analytics solutions using Databricks, Azure Synapse, Microsoft Fabric
  , and SQL
  , with exposure to BI and visualization tools such as Power BI or Tableau
• Strong knowledge of financial services and payments
  , including money movement data (ACH, Wires, RTP, Fed Now), transaction formats, and end‑to‑end business processes
• Hands‑on experience with advanced analytics
  , including statistical analysis, predictive modeling, machine learning, and data visualization
• Proficiency in Python and SQL (experience with R or SAS is a plus) for data extraction, analysis, and modeling
• Ability to analyze large, complex datasets
  , synthesize insights, and communicate findings clearly to technical and non‑technical stakeholders
• Solid understanding of data architecture, application design, and delivery processes
  , including information management and security considerations
• Strong problem‑solving, decision‑making, and project execution skills, with the ability to work independently in a fast‑paced environment
• Effective written, verbal, and interpersonal communication skills
  , with experience partnering with senior business leaders and cross‑functional teams
• Prior experience in banking or financial services strongly preferred
• Background in process improvement or Lean methodologies is a plus