Money Movement Analytics & Operations Lead
About The Position
The Enterprise Money Movement Analytics & Operations Lead will build, maintain, and continuously enhance the Enterprise Money Movement fact base, an integrated data product showing how money moves across the Enterprise. It will connect money movement data with client journeys, products, systems, platforms, payment rails, operational processes, and business and technology roadmaps. The role leads collection, mapping, integration, and analysis of complex information from business lines and corporate functions to establish a reliable enterprise view of the Bank’s money movement ecosystem. The person identifies opportunities to improve client experiences, rationalize systems or capabilities, reduce complexity, address gaps, and prioritize investments. They translate large, disparate datasets into clear findings, strategic recommendations, and decision-ready materials for senior stakeholders. The role requires money movement expertise alongside advanced data analytics, data mapping, systems analysis, and team leadership capabilities. The lead operates independently, leads a team, establishes credibility with senior stakeholders, and communicates complex findings clearly and actionably. After the fact base is initially developed, the role oversees its ongoing operation and serves as the central point for enterprise money movement analysis and related ad hoc analytics requests. The position requires working from a U.S. Bank location three or more days per week.
Requirements
- 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 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.
- 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.
- Ability to identify optimization, rationalization, modernization, and investment opportunities through data-driven analysis.
- Ability to operate independently, establish structure in ambiguous environments, and drive complex work from concept through implementation.
- Excellent written, verbal, presentation, and facilitation skills, including communicating technical and analytical findings to senior stakeholders.
Nice To Haves
- 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 technical and nontechnical audiences.
- Experience leading enterprise-level analytical or transformation initiatives involving multiple business lines and corporate functions.
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 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 for a consistent and reliable enterprise 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 insights, findings, visualizations, and actionable recommendations.
- Identify enterprise money movement optimization opportunities, including investment, modernization, rationalization, consolidation, integration, or process improvement.
- Develop data-driven recommendations to 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.
- Oversee ongoing operation of the fact base and serve as the central point for enterprise money movement analysis and related ad hoc analytics requests.
- Lead a team and drive complex work independently from initial concept through implementation.
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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
