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U.S. Bank

Runs a national bank and processes card payments

Money Movement Analytics & Operations Lead

Data ManagementConfirmed live in the last 24 hours
Full-time$149.5k - $175.9k

About the Job

Requirements

  • A bachelor's degree or equivalent experience.
  • At least 10 years of experience in money movement, payments, data analytics, systems analysis, financial services, operations, technology, management consulting, or related disciplines.
  • Deep knowledge of money movement systems, payment rails, transaction flows, products, platforms, channels, and operational processes across multiple client segments.
  • Demonstrated experience building or leading the development of complex data products, analytical frameworks, enterprise fact bases, systems inventories, or integrated data repositories.
  • Advanced experience working with large, complex, and disparate datasets to identify relationships, patterns, gaps, and business implications.
  • Demonstrated ability to connect client journeys, business processes, products, systems, platforms, and underlying data.
  • Experience producing decision-ready findings and recommendations from complex quantitative and qualitative information.
  • Proven ability to identify optimization, rationalization, modernization, and investment opportunities through data-driven analysis.
  • Demonstrated ability to operate independently, establish structure in ambiguous environments, and drive complex work from initial concept through implementation.
  • Experience communicating technical and analytical findings to senior stakeholders through written, verbal, presentation, and facilitation skills.

Responsibilities

  • Lead the design, development, implementation, and ongoing management of the Enterprise Money Movement fact base data product.
  • Establish an integrated view of money movement across client segments, including client journeys, products, systems, platforms, rails, channels, transaction data, operational processes, and roadmaps.
  • Collaborate with the Enterprise Data Office to collect, organize, validate, and connect data and information provided by business line product teams, operations teams, platform owners, technology partners, and corporate functions.
  • Develop and maintain detailed mappings of money movement journeys, transaction flows, systems, platforms, data sources, capabilities, dependencies, and ownership.
  • Establish data structures, definitions, standards, taxonomies, and governance practices that support a consistent and reliable enterprise money movement fact base.
  • Assess data quality, completeness, consistency, and usability, and work with source owners to address gaps or discrepancies.
  • Synthesize large and complex datasets into meaningful insights, findings, visualizations, and actionable recommendations.
  • Identify opportunities to optimize money movement across the enterprise, including areas for investment, modernization, rationalization, consolidation, integration, or process improvement.
  • Develop data-driven recommendations that support enterprise strategy, product and platform roadmaps, investment decisions, and prioritization discussions.
  • Present findings, tradeoffs, opportunities, and recommendations to senior business, product, technology, operations, and corporate function stakeholders.
  • Work across Technology, Operations, Data, Risk, Finance, and other corporate functions to connect business requirements with systems, data, operational impacts, and investment considerations.

Desired Qualifications

  • An advanced degree in data analytics, data science, computer science, information systems, engineering, finance, economics, business, or a related discipline.
  • Expertise across multiple payment rails and transaction types, such as ACH, wires, cards, checks, real-time payments, FedNow, RTP, account-to-account transfers, bill payments, cross-border payments, and internal book transfers.
  • Experience mapping complex payment architectures, transaction flows, system dependencies, and end-to-end client journeys within a large financial institution.
  • Advanced proficiency with data querying, analytics, visualization, and business intelligence tools.
  • Experience creating enterprise taxonomies, data dictionaries, capability maps, system inventories, or common data definitions.
  • Knowledge of data architecture, data integration, APIs, data pipelines, master data, metadata management, and data lineage concepts.
  • Experience developing analytical products that support executive decision making, investment prioritization, technology modernization, or platform rationalization.
  • Ability to translate technical analysis into concise business implications and recommendations for both technical and nontechnical audiences.
  • Experience leading enterprise-level analytical or transformation initiatives involving multiple business lines and corporate functions.

About the Company

U.S. Bank

Runs a national bank and processes card payments

U.S. Bank is one of the largest banks in the United States, serving consumers, small businesses, corporations, and government agencies with banking, lending, payments, and wealth management. Its Elavon subsidiary is one of the world's biggest processors of card payments for merchants, handling sales in the United States, Canada, and Europe. People and small businesses use its branches and mobile app for checking, savings, credit cards, mortgages, and loans, while companies use it for corporate cards and cash management, and the bank earns money from loan interest and fees. U.S. Bank received national bank charter No. 24 in 1863, under President Abraham Lincoln, and is based in Minneapolis as the main subsidiary of U.S. Bancorp.

Company size
10,001+
Company stage
IPO
Headquarters
Minneapolis, MN
Founded
1863

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