Sanctions Data Integration and Analytics Manager

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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, strengths / limitations, 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

7-10 years supporting compliance / risk initiatives in a large, complex, highly regulated financial institution (or relevant risk / compliance experience)

Proficiency with SAS and / or SQL and handling large datasets for analysis, testing, and reporting

Strong analytical, research, critical-thinking, and problem-solving skills with sound judgment and urgency on high-priority matters

Effective and professional interpersonal, verbal, and written communication skills; ability to manage multiple priorities and deadlines

Educational Background and Experience :

Post-graduate degree (e.g., statistics, data science, analytics, economics, information systems, or related)

10 or more years of relevant experience in an AML / BSA analytical environment

Knowledge of financial services environment and banking products, policies, operations, and applicable procedures

Technical Skills :

Subject matter expertise and significant development experience using SQL, SAS, Python or R

Working knowledge of LexisNexis Bridger Insight XG, Fircosoft Continuity, and Actimize SAM; familiarity with other relevant enterprise systems

Experience working in Agile / product environments (e.g., creating Jira stories, test case design, user advocacy) and partnering through system implementations

Advanced data compilation, programming skills and qualitative analysis skills

Experience with cloud-based tools and infrastructure (Azure or AWS)

Hands-on experience with generative AI and a working knowledge of its applications

Analytical and Problem-Solving Skills :

Experience in statistics, numerical methods, optimization, and operations combined with extensive experience within the financial services sector

Ability to lead complex analyses and formulate practical solutions; exceptional problem-solving skills

In-depth understanding of data lineage concepts

Skilled in detecting, remediating, and preventing data quality issues

Communication and Presentation Skills :

Expert level experience in presenting confidently to senior executives and regulators

Experience working with internal audit or outside examiners explaining models / processes that support sanctions functions; ability to explain complex items in a straightforward manner

Excellent interpersonal, verbal, and written communication skills; prioritizes relationship development and ability to create an inviting, supportive working environment

Leadership and Management Skills :

Demonstrated ability in managing a team of employees in quantitative / analytical development and technological areas

Organizational and time-management skills; ability to deliver day-to-day commitments and complex projects on time and within budget

Regulatory Knowledge :

Knowledge of federal economic sanctions regulations and the global sanctions regime; experience supporting OFAC compliance initiatives

Knowledge of OCC and FRB standards associated with model development and validation, including data quality expectations

Judgment and Decision-Making :

Strong analytical and research skills, and use of good judgment in decision making and sense of urgency for high priority issues

Demonstrated ability to determine innovative solutions to mitigate risk while supporting business growth

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.

If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants () .

Benefits :

Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following (some may vary based on role, location or hours) :

Healthcare (medical, dental, vision)

Basic term and optional term life insurance

Short-term and long-term disability

Pregnancy disability and parental leave

401(k) and employer-funded retirement plan

Paid vacation (from two to five weeks depending on salary grade and tenure)

Up to 11 paid holiday opportunities

Adoption assistance

Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.

E-Verify

U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program () .

The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range : $143,905.00 - $169,300.00

U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and / or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.

Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.

Posting may be closed earlier due to high volume of applicants.