Sanctions Data Integration and Analytics Manager

Senior Manager, Financial Crimes Compliance

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 atall from Day One.

Job Description

This senior position will lead a team that owns both data integration into sanctions screening platforms and the analytical oversight of screening performance and upstream data quality within the Enterprise Financial Crimes Compliance (EFCC) Financial Intelligence Unit (FIU). The manager will serve as a subject-matter expert on sanctions screening tools (e.g., LexisNexis Bridger Insight XG and Fircosoft Continuity), defend statistical methodologies used for quality control and performance monitoring, and represent the FIU with senior leadership, Corporate Audit Services, Model Risk Management, technology partners, and regulators. The role also partners closely with the FIU Integration Team and product stakeholders, contributing to requirements, user stories, testing design, and change management for system implementations and upgrades, while advocating for business users and maintaining clear, professional documentation. The individual should be technologically confident and familiar with model risk management principles.

Essential Functions

• Represent the interests of the FIU in collaborative decision-making regarding sanctions strategic application direction, prioritization, timelines, roles / resourcing, and cross-functional governance.
• Serve as subject-matter expert on sanctions screening platforms (e.g., Bridger Insight XG, Fircosoft Continuity), with an in-depth understanding of matching logic, filter behavior, and operational implications.
• Lead data integration work for sanctions screening : requirements gathering / documentation, business acceptance testing, backlog management, and system administration, ensuring consistency with parallel integrations (e.g., Actimize) and enterprise standards.
• Build and oversee programs for sanctions data quality analysis (DQA), threshold / algorithm testing, and ongoing performance monitoring and reporting across screening systems and targeted monitoring programs.
• Develop (and defend) statistical methodologies to support oversight and effective challenge, including documentation suitable for Model Risk Management and internal / external review.
• Create and maintain professional program / reporting documentation supporting sanctions screening and customer screening processes; provide timely responses to ad-hoc data requests, with urgency for high-priority issues.
• Partner with product and technology teams using Agile practices : write user stories (e.g., in Jira), design test cases, validate criteria with stakeholders, and support system implementations / upgrades.
• Demonstrate professional presentation and communication skills for senior leadership, auditors, regulators, and business partners; effectively troubleshoot issues and manage competing priorities.
• Manage communication and responses to internal audit, validation, and outside government agency partners in explaining modeling processes supporting sanctions functions.
• Lead efforts to thoroughly satisfy and document all programmatic efforts to ensure that U.S. Bank meets OCC 2011-12 expectations and internal Model Validation standards.
• Collaborate with Risk and Business Line partners to evaluate the risks of new products, services, and portfolios, and design risk-based transaction monitoring solutions.
• Ensure the team is working continually to implement new processes or techniques to improve programs to be as efficient as possible while effectively mitigating risk.
• Explore ML / AI techniques to enhance process efficiency.

Basic Qualifications - Bachelor's or advanced degree, or equivalent work experience - Typically more than 12 years of applicable experience

Preferred Skills / Experience :

Educational Background and Experience :

Technical Skills :

Analytical and Problem-Solving Skills :

Communication and Presentation Skills :

Leadership and Management Skills :

Regulatory Knowledge :

Judgment and Decision-Making :

The role offers a hybrid / flexible schedule, which means there's an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days.