U.S. Bank

Operations

• Process proof of authorization requests and corporate return items related to ACH transactions.
• Perform routine tasks such as data entry, transaction processing, archiving, research, and troubleshooting.
• Interact with internal partners and external vendors or clients to resolve issues and ensure service excellence.
• Research exceptions and escalate complex issues to management as needed.
• Recommend and implement process improvements to enhance operational efficiency.
• Maintain compliance with corporate timeframes and regulatory requirements.

Senior Operations Processor

Financial Planning and Analysis

• The Environmental Finance Asset Manager works under the limited direction of Assistant Director of Asset Management.
• Accountable for the ongoing performance, credit monitoring and risk mitigation of a portfolio of tax credit equity investments and loans which could include more complex investments and/or a larger portfolio.
• Maintains relationships with internal partners and external customers within the investments.
• Monitors project construction and development milestones, for purposes of compliance and monthly financial forecast preparation.
• Responsible for review of equity funding requests in coordination with external customers and USB counsel (if necessary).
• Analyze project performance to ensure adherence to programmatic compliance.
• Continually monitor risk profile of the investment and recommend risk rating adjustments as needed.
• Review and negotiate post-closing deal amendments, modifications or restructures and prepare credit memo for presentation to Assistant Director and other members of management and credit administration.
• Apprises manager, credit administration and other appropriate parties of ongoing asset quality performance in accordance with credit policy.
• Works closely with Environmental Finance Production and Syndications teams to focus on collaboration and meeting customer expectations.

Environmental Finance Asset Manager

• Responsible for management and monitoring of a portfolio of commercial real estate loans and equity investments to ensure benefit delivery to investors and while maintaining superior customer service for external clients.
• Maintains and expands relationships with partners, borrowers, and other external parties associated with assigned portfolio.
• Performs reviews of audits and financial statements to assess investment quality and risk.
• Performs reviews of construction draw packages and assessment of construction investment and lending risk.
• Monitors portfolio performance and assigns risk ratings in accordance with policy.
• Completes site inspections and meetings with partners to ensure program compliance and asset/loan quality.
• Reviews and interprets operating agreements, loan agreements and other legal documents relating to equity investments and loans in order to protect the divisions rights and financial interests.
• Prepares internal written and verbal reporting on portfolio performance.
• Ensures that assigned investment projects adheres to U.S. Bancorp policies and procedures and conforms to regulatory requirements.
• Responsible for keeping current on various tax credit policies, banking laws and regulations, economic and industry trends, and banking products and services related to asset management of investments and loans.

Affordable Housing Asset Manager

Project Manager

• Provides senior-level project leadership for complex, cross-functional initiatives supporting Dealer Services collateral and/or auto lending (including indirect lending) programs
• Owns delivery from intake through implementation, aligning stakeholders across business, operations, compliance/risk, and technology to drive measurable outcomes
• Leads large and/or highly complex initiatives with multiple workstreams; develops integrated project plans, resource alignment, dependency management, and governance to meet commitments
• Drives end-to-end stakeholder alignment across Dealer Services, Product, Sales/Field, Operations, Technology, Compliance/Legal, Risk, and vendor/partner teams; escalates and resolves issues to keep delivery on track
• Leads project initiation sessions and facilitates working forums; ensures clear scope, requirements, acceptance criteria, and decisioning throughout the lifecycle
• Partners with content owners and control functions to deliver compliant collateral and communications; manages versioning, approvals, controlled distribution, and change impacts
• Develops and maintains project artifacts (charters, RAID logs, status reporting, cutover/runbooks, readiness checklists) and provides executive-ready communications and recommendations
• Coordinates implementation readiness (training, job aids, dealer enablement, operational procedures) and validates operational adoption post-launch; identifies opportunities to improve processes and reduce cycle time

Dealer Services Project Manager

Analyst

• Model development: design model development plan including model design, model methodology, model selection, model testing, benchmarking, and documentation under guidance of senior model developers.
• Data preparation and analysis: compile datasets, perform quality checks, and run standard exploratory analysis to support model development and monitoring.
• Partner with business and risk partners to understand data definitions and document changes in portfolio attributes or reporting needs.
• Monitoring and reporting: help prepare routine performance metrics and summaries; flag data or performance issues for follow-up.
• Documentation support: assist with preparing exhibits, tables, and written summaries used in governance, validation, and regulatory-related materials.
• Process improvement: identify opportunities to streamline data pulls, reporting, and repeatable analyses using existing tools and team guidance.

Senior Quantitative Model Analyst – Wholesale Modeling

Technical Product Manager

• Gather and analyze business and technical requirements to develop impactful Data Solutions, leveraging both traditional discovery techniques and AI assisted insights.
• Demonstrate expertise through a consultative and collaborative approach to engineering, working closely with data engineering, data science, and platform teams.
• Apply strong problem solving skills grounded in a deep understanding of data architectures, pipelines, data warehouses, serving layers, and modern analytics patterns.
• Document end to end data flows from source to target at a functional level, ensuring clarity, traceability, and alignment with business outcomes.
• Investigate and perform deeper analysis to produce high impact data solutions that achieve targeted and measurable outcomes.
• Perform quantitative analysis to identify, diagnose, and resolve data quality, performance, and reliability issues.
• Work closely with customers to understand their questions and needs, then navigate data rich environments to uncover insights and complete their information puzzle.
• Effectively communicate—both orally and in writing—with peers across Data Products, Enterprise Architecture, Technology, and Client Success teams.
• Leverage Microsoft Copilot and AI assisted tooling across the product lifecycle, including requirements discovery, backlog refinement, technical documentation, data analysis, and stakeholder communication.
• Use AI driven insights to accelerate problem discovery, hypothesis validation, prioritization, and decision making.
• Partner with engineering and data science teams to embed AI assistance directly into data products, dashboards, and workflows, improving end user decision quality and efficiency.
• Contribute to the design of agentic data systems, where autonomous or semi autonomous agents assist with data quality monitoring, anomaly detection, root cause analysis, pipeline orchestration, and operational observability.
• Support the evolution from traditional dashboards to AI powered, conversational, and goal oriented data experiences that adapt to user context and intent.
• Help define scalable product patterns where intelligent agents proactively surface insights, recommend actions, and continuously learn from usage signals.
• Apply modern, AI enabled product discovery techniques to synthesize customer feedback, operational telemetry, and usage data at scale.
• Drive experimentation, A/B testing, and outcome based measurement using AI augmented analytics and observability tooling.
• Ensure that AI and agentic capabilities are designed with strong governance, explainability, security, and compliance aligned to enterprise standards.
• Collaborate with Enterprise Architecture and Platform teams to ensure AI capabilities are reusable, scalable, and aligned with long term data platform strategy.
• Balance rapid AI innovation with enterprise grade reliability, risk management, and operational excellence.

Account Executive

• The Client Account Manager/Executive is the strategic face of Payment Services to the client, representing multiple business channels.
• Responsible for the overall management of a book of accounts, including maintenance, growth, increased profitability, strategic direction, overall client satisfaction, and contract renewals.
• Consults with clients through data analysis, industry education, presentation of performance results and recommending action to improve performance.
• Is the escalation point for both internal and external client issues.

Client Executive

Administration

• Help lead a servicing team who supports the day-to-day financial and compliance operations of an exchange-traded fund ("ETF"), mutual fund, closed end fund and/or business development company client.
• Monitoring and reviewing a fund budget based on contractual agreements, fee proposals and expense activity trends.
• Reviewing ETF and other fund client board of directors meeting materials.
• Reviewing financial statements (e.g., statement of assets and liabilities, schedule of investments, statement of operations, statement of changes in net assets, statement of cash flows and accompanying financial footnotes).
• Reviewing portfolio compliance to ensure ETF and other fund adherence to the Investment Company Act of 1940, stated prospectus limitations and internal revenue code guidelines.
• Leading the financial reporting filing requirements for an ETF or other fund client’s fiscal year.
• Mentoring teammates or in certain cases direct reports.

Fund Administrator

Backend Engineer

• Responsible for designing, developing, testing, operating and maintaining products
• Takes full stack ownership by consistently writing production-ready and testable code
• Consistently creates optimal design adhering to architectural best practices; considers scalability, reliability and performance of systems/contexts affected when defining technical designs
• Performs analysis on failures, propose design changes, and encourage operational improvements
• Makes sound design/coding decisions keeping customer experience in the forefront
• Implement and deploy API solutions while demonstrating expertise in a number of areas including: API design and development, Public and Private API design and development, Highly scalable distributed systems, Cloud computing
• Contributes to creating strategy and evolvable systems, including guidelines, standards, and policies
• Collaborates with business leaders to help define business strategy and align creative information technology systems architecture to support the strategy

Software Engineer 2, Java, Springboot, Microservices, Kafka

• Design, develop, and maintain Power BI dashboards and reports, leveraging SQL and data warehouse tables to translate business metrics into clear, actionable visual insights.
• Support Performing Servicing Issue Management, ensuring timely and accurate resolution of audit defects and Archer CITs.
• Assist in developing resolution plans, including defining required evidence, ownership, and deliverables to support issue closure.
• Track and manage assignments against fixed audit and regulatory timelines, ensuring adherence to non‑negotiable deadlines.
• Produce and maintain weekly and monthly reporting to provide business line transparency and visibility to senior leadership.
• Present complex business, risk, and control concepts through effective visualizations (e.g., tables, bar charts, line charts, line trends, and other data visual formats).
• Partner with business and risk stakeholders to support intake, understanding, and execution of reporting and issue remediation needs.

Business Technology Analyst – Mortgage Servicing Operations

DevOps Engineer

• This position requires technical leadership in DevOps, deployment pipelines, public cloud deployments, container deployments, Infrastructure-as-Code, resiliency, architecture, and monitoring/metrics.
• Leadership in the maintenance of installed infrastructure technologies as well as the installation and configuration of these technologies within a specific area.
• Develops design and functional specifications.
• Designs architecture, produces deliverables related to specific projects and assists in post implementation support and system enhancements which may include platforms and systems such as Azure, AWS, CSP, API, and microservices.
• Responsible for creating on-prem and public cloud systems for communication, sharing, storage and backup of data - including big-data analysis.
• This role may provision, manage, monitor, and decommission cloud services, including automating provisioning and management of infrastructure in a distributed environment.
• May be involved with the configuration and maintenance of physical and logical network components.

Lead Infrastructure Engineer – DevOps

Artificial Intelligence

• Oversee the deployment of high‑availability AI models into production, ensuring reliability, latency, and regulatory compliance.
• Enable and scale adoption of AI platforms, services, agents, and MCPs by establishing training programs, best‑practice frameworks, and enabling tooling.
• Define and govern a unified AI stack aligned with data strategy, security requirements, and long‑term scalability goals.
• Sponsor and guide the development of a self‑service AI platform that democratizes experimentation, deployment, and monitoring across the organization.
• Lead and develop a multidisciplinary team of data scientists, ML engineers, platform engineers, and domain experts, while partnering closely with product, operations, and business leaders to align AI investments with strategic priorities.

AI/ML Deployment Lead

Business Intelligence Developer

• Design, develop, and support scalable BI solutions using Power BI, Tableau, Azure data services, and SQL‑based platforms
• Lead the design of semantic models, datasets, and reporting layers to enable reliable self‑service analytics
• Partner with business stakeholders, product teams, and data engineering to translate analytical needs into well‑architected solutions
• Evaluate and estimate new BI requests, considering feasibility, effort, performance, cost, and alignment with enterprise standards
• Build and optimize complex SQL queries, reports, dashboards, and analytical models
• Develop and maintain reusable BI components, templates, and shared datasets
• Monitor, troubleshoot, and tune BI environments for performance, scalability, reliability, and cost efficiency
• Ensure BI solutions comply with information security, data governance, and enterprise standards
• Create and maintain technical documentation and development best practices
• Serve as a technical mentor for junior and mid‑level BI developers
• Provide guidance on BI architecture, data modeling, visualization best practices, and performance optimization
• Contribute to BI strategy, tooling decisions, and continuous improvement of development practices

Senior BI Developer – Investment Services

Account Manager

• Spend 65–70% of time actively prospecting, sourcing, and developing new business relationships for the bank.
• Build, develop, enrich and manage new and existing relationships with business clients.
• Deliver financial expertise and client-centric solutions that build strong, long-term relationships.
• Assess and attend to clients' banking needs.
• Educate clients on available deposit and loan products and services.
• Recommend financial solutions based on each client’s unique goals and needs.
• Partner effectively with Treasury Management, Merchant Services and Business Banking Credit Card teams.

Business Banking Relationship Manager, VP

Systems Engineer

• Develop database automation for NoSQL Databases like MongoDB, Cassandra, Elasticsearch, Couchbase and RDBMS like (PostgreSQL, DB2, Sybase)
• Apply server OS & database security patching
• Collaborate with development teams to support agile release cycles and cloud-native applications.
• Develop scripts and automation tools using Ansible, Python, Bash, PowerShell, and Unix Shell.
• Participate in off hours code deployments, disaster recovery exercises and be part of our on call support rotation (approx. one week every 2 months)