Fraud Platform Manager - BART

U.S. Bank•Minneapolis, MN

2d•Hybrid

About The Position

The role leads the strategy, development, and enterprise integration of the Bad Actor Research Tool (BART) and provides people leadership to a multidisciplinary team accountable for delivering and evolving the platform. BART is an internally developed, machine‑learning–enabled fraud detection platform that leverages network analysis and patented entity‑resolution capabilities to identify and disrupt bad actors across the customer, account, and transaction lifecycle. This position is accountable for evolving BART into a scalable, consumable enterprise platform that enables cross‑organizational data sharing, supports proactive fraud detection, and delivers consistent risk signals across customer journeys. The role partners closely with Fraud Strategy, Technology, Risk, and business stakeholders to ensure BART serves as a single, authoritative source for relationship research, customer profiling, and risk‑based decisioning, while advancing a true “One U.S. Bank” approach to fraud prevention. All responsibilities are carried out in accordance with company data governance, privacy, and regulatory requirements, reinforcing organizational integrity and resilience.

Requirements

Bachelor’s degree, or equivalent work experience
Typically more than 10 years of applicable experience

Nice To Haves

Considerable knowledge of operational functions, systems, procedures, various products and/or services supported by the assigned area(s) and applicable Federal and State laws and regulations
Thorough knowledge of applicable credit products, programs, financial analysis and related documentation as applicable
Good organizational, managerial and project management skills
Well-developed customer relations skills
Effective interpersonal and verbal and written communication skills
Strong supervisory and management skills
Ability to manage multiple tasks
Well-developed knowledge of banking operations and human resources

Responsibilities

Own end‑to‑end product strategy and roadmap for the platform, translating enterprise fraud and business objectives into clearly defined use cases, prioritized delivery plans, and measurable success metrics.
Define, maintain, and communicate the product roadmap, balancing near‑term value delivery with long‑term platform scalability, growth, and evolving business priorities.
Lead use‑case intake and definition, ensuring business problems are well‑framed analytically, requirements are clearly documented, and expected outcomes and value are established prior to development.
Establish and monitor product performance metrics and KPIs, using data and user feedback to inform roadmap adjustments, prioritization decisions, and continuous improvement.
Drive stakeholder engagement and alignment by providing regular updates to leadership, facilitating engagement sessions, and communicating platform capabilities, enhancements, and upcoming changes.
Support leadership and business reviews by preparing data‑driven insights, materials, and narratives that clearly articulate platform performance, value delivered, and strategic progress.
Partner with the AI Center of Excellence (AI CoE) on the development and evolution of entity‑resolution capabilities, supporting design decisions, prioritization, testing, and integration into the BART platform and downstream fraud use cases.
Oversee the enhancement of bad actor labeling through the continuous evaluation of enterprise signals and fraud attributes.
Partner with AI CoE to refine and update risk grades and methodologies used to identify potential bad actors across customer journeys.
Lead data integration across the BART platform by partnering with Technology, AI CoE, and business lines to onboard new data sources, validate data quality and completeness, manage dependencies, and ensure integrations align with fraud use cases, governance standards, and downstream analytical needs.
Partner with Fraud Mitigation Solutions (FMS) to support the operational use of BART‑generated alerts, ensuring network‑based signals, risk grades, and narratives are effectively integrated into alert queues, prioritized appropriately, and leveraged to improve investigation efficiency, decision quality, and timely fraud response.
Ensure ongoing compliance with governance and operating standards by completing required certifications and confirming adherence to documented policies, procedures, and control requirements.
Ensure model‑related changes are coordinated with model risk owner, confirming required approvals, documentation, and change records are completed prior to implementation.
Support ongoing model risk validation and monitoring activities, including completion of required questionnaires, reports, and attestations.
Ensure code deployments follow established change‑management processes, including GitHub workflows and required BCI and PRISM submissions, to support compliant and auditable releases.
Own and manage the product backlog end‑to‑end, including intake, refinement, prioritization, sequencing, and internal review to ensure alignment with strategic objectives, delivery capacity, and risk‑reduction priorities.
Oversee the full user‑story lifecycle, ensuring stories are well‑defined, groomed, tested, validated, and accepted in accordance with documented requirements and quality standards.
Participate in and support agile delivery routines, including backlog grooming, user‑story refinement, sprint planning, demos, and reviews to enable disciplined and predictable delivery.
Ensure delivery discipline and quality, reviewing delivered functionality and providing sign‑off to confirm solutions meet product intent, documented requirements, and intended business outcomes prior to release.
Monitor data processing jobs, logs, and control dashboards to ensure data integrity, completeness, and expected system performance.
Identify and escalate data anomalies, system failures, or processing issues, and coordinate resolution through appropriate production support channels.
Support environment readiness activities, including disaster recovery exercises, data integrity testing, and planned platform testing.
Conduct fraud trend research and investigative analysis in response to escalations and business requests, leveraging enterprise data and the BART platform.
Support ad hoc and custom fraud analysis requests, prioritizing work based on risk impact, urgency, and available capacity.
Design, generate, and refine proactive monitoring alerts to identify anomalies, emerging fraud trends and potential bad actors.
Support ad hoc strategic fraud analytics requests by conducting targeted analyses, synthesizing insights across data sources, and delivering clear, actionable recommendations to inform leadership decision‑making, risk‑mitigation strategies, and enterprise priorities.
Leverage approved AI‑enabled productivity tools to improve efficiency, quality, and effectiveness of work outputs, applying sound judgment to validate results and ensure responsible, compliant use in accordance with company policies.
Develops and delivers data‑driven insights and narratives to inform decision‑making and support business objectives.
Perform additional duties and assume evolving responsibilities as needed to support changing business priorities, organizational needs, and strategic objectives.
Maintain a strong commitment to regulatory compliance, internal controls, and risk management standards by adhering to applicable laws, policies, and procedures.
Lead and manage a team of fraud data analysts, establishing clear expectations, priorities, and accountability while fostering an inclusive and collaborative work environment.
Provide ongoing coaching and guidance to support employee development in analytical skills, strategic thinking, problem solving and effective communication.
Conduct performance management activities, including goal setting, feedback, and evaluation, with a focus on outcomes, quality, and business impact.
Ensure role clarity and consistent operating practices so team members understand responsibilities and how their work supports fraud risk management objectives.
Support talent development and workforce planning by identifying skill needs, contributing to hiring decisions, and building internal capabilities.
Assist with succession planning by creating development opportunities and preparing employees for expanded responsibilities over time.

Benefits

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
Incentive and recognition programs
Equity stock purchase
Pension