below marketmost similar roles pay hereabove market
This role pays less than
68%
of similar roles. Most pay
$157,200–$216,300
— the blue band above.
At the midpoint, this role pays about
$163k
versus about
$187k
for comparable roles.
Based on 240 similar postings.
Employer
About US Bank
U.S. Bank (U.S. Bancorp) is the fifth-largest bank in the United States, providing retail banking, corporate and commercial banking, wealth management, and payment services to millions of customers. Industry: Banking & Financial Services
US Bank currently has
48 open roles
on FindRole.
Listed pay typically runs
$119,765–$140,900
across 33 roles with salary data.
The Money Movement Analytics & Operations Lead will join the Enterprise team to build, maintain, and enhance the Enterprise Money Movement fact base. This foundational data product provides an integrated view of how money moves across the bank by connecting data with client journeys, products, systems, platforms, payment rails, and operational processes. The role involves leading the collection, mapping, and integration of complex information from various business lines to create a reliable ecosystem view. Key responsibilities include establishing data structures, taxonomies, and governance practices while identifying opportunities for system rationalization and investment. The successful candidate will utilize deep money movement domain expertise, data analytics, systems analysis, and team leadership skills. They must translate disparate datasets into strategic recommendations for senior stakeholders to optimize transaction flows and modernize payment architectures.
Lead the design, development, and ongoing management of the Enterprise Money Movement fact base data product.
Establish an integrated view of money movement across client segments, products, systems, platforms, and payment rails.
Collect, organize, and validate data from business lines, operations teams, and technology partners to build the fact base.
Develop and maintain detailed mappings of transaction flows, system dependencies, data sources, and ownership.
Establish data structures, definitions, standards, taxonomies, and governance practices for consistent enterprise reporting.
Synthesize complex datasets into meaningful insights, visualizations, and actionable recommendations for senior stakeholders.
Identify opportunities to optimize money movement through investment, modernization, rationalization, and process improvement.
Present data-driven findings and strategic recommendations to senior business, product, and technology leadership.
What we're looking for
Bachelor’s degree or equivalent experience.
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.
Excellent written, verbal, presentation, and facilitation skills, including experience communicating technical and analytical findings to senior stakeholders.
Advanced degree in data analytics, data science, computer science, information systems, engineering, finance, economics, business, or a related discipline (preferred).
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 (preferred).
Experience mapping complex payment architectures, transaction flows, system dependencies, and end-to-end client journeys within a large financial institution (preferred).
Advanced proficiency with data querying, analytics, visualization, and business intelligence tools (preferred).
Experience creating enterprise taxonomies, data dictionaries, capability maps, system inventories, or common data definitions (preferred).
Knowledge of data architecture, data integration, APIs, data pipelines, master data, metadata management, and data lineage concepts (preferred).
Experience developing analytical products that support executive decision making, investment prioritization, technology modernization, or platform rationalization (preferred).
Demonstrated ability to translate technical analysis into concise business implications and recommendations for both technical and nontechnical audiences (preferred).
Experience leading enterprise-level analytical or transformation initiatives involving multiple business lines and corporate functions (preferred).
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