U.S. Bank

Account Manager

• Business Banking Relationship Managers play a pivotal role in helping our business clients achieve their financial goals.
• Approaching each day to do the right thing by our business clients to help them achieve their vision for success.
• Building, developing, and managing new and existing relationships with business clients.
• Delivering financial expertise and client-centric solutions that build strong, long-term relationships.

Business Banking Relationship Manager

Communications

• Design and lead communication strategies aligned to business objectives and enterprise priorities
• Develop and execute internal and external communications, including media relations, thought leadership, and executive messaging
• Serve as a trusted advisor to senior leaders, providing counsel on stakeholder messaging, reputation management, issues management, and strategic positioning
• Partner with Public Affairs, Marketing, Government Relations, and business leaders to ensure enterprise alignment and brand consistency
• Lead storytelling that highlights client impact, institutional initiatives, and market leadership
• Measure and report on communications effectiveness, using insights to refine strategy and demonstrate business value
• Lead and develop a high-performing communications team, ensuring high-quality execution.

Communications Lead – Institutional Client Group, Payments

Platform Engineer

• Develops database models to meet business requirements.
• Defines data requirements and business rules.
• Performs physical data modeling.
• Implements and tests database design.
• Plans for collection method, data cleansing, and normalization of enterprise data to support decision-making and reporting.
• Ensures integrity of data, software, and hardware.
• Coordinates data models, dictionaries, and other database documentation across multiple applications.
• Partners with data transformation teams to ensure design is properly communicated.
• Develops policies and procedures related to development and support of new and ongoing systems.

Senior Data Modeler/Platform Engineer

Crypto

• Develop and maintain a commercialization prioritization framework to identify initiatives with the largest revenue impact, factoring in client value, time-to-market, dependencies, and risk.
• Build business cases for target use cases and product investments, including revenue sizing, sensitivity analysis, and adoption/penetration assumptions.
• Partner with go-to-market, sales, and relationship teams to translate pipeline signals into measurable opportunity sizing.
• Own revenue modelling for each use case and monthly reporting to Head of Commercialization for priority initiatives; track forecast vs. actuals and identify drivers of variance.
• Create performance dashboards and executive-ready reporting that clearly highlights: commercialization milestones, leading indicators (pipeline, activations, usage), revenue realization and attribution drivers.
• Improve forecasting discipline by establishing consistent definitions, assumptions, and repeatable operating rhythms with Finance.
• Work directly with product teams to integrate revenue insights into product roadmaps, including sequencing decisions, feature prioritization, and release impact measurement.
• Define and monitor KPIs that connect roadmap deliverables to commercial outcomes (e.g., activation rates, usage, revenue per client, retention).
• Support product managers with analytical inputs for roadmap trade-offs and investment decisions.

Revenue Analyst – Digital Assets, Money Movement

Financial Planning and Analysis

• Structuring, drafting, reviewing and negotiating vendor program agreements and servicing agreements with EF’s indirect financing sources
• Reviewing third-party lending and leasing documentation for purchase through EF’s indirect financing and syndications channels
• Lead in the provision of structuring, risk assessment, documentation, and transactional support related to lending and leasing products offered by EF to its customers
• Developing and maintaining transactional lending and leasing contract document templates for large ticket transactions
• Working with senior management, sales and credit teams to evaluate and develop new financing products
• Providing counsel to EF on perfection, collateralization and other legal issues covered by Articles 2A and 9 of the Uniform Commercial Code
• Developing relationships with and providing guidance to leadership on issues that may present legal, regulatory, compliance, or reputational risk to the Company
• Remaining informed and knowledgeable of the equipment finance industry and of legislation, regulations and court cases/decisions affecting EF’s business
• Preparing general advice memoranda, training materials and other legal resources for use by EF personnel

Transactional and Negotiations Attorney

• Develop and implement GenAI applications leveraging: Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG) architectures
• Prompt engineering techniques
• Agentic AI concepts and workflows
• Build intelligent pipelines using frameworks such as LangChain, LangGraph, and Microsoft Foundry Agent Service
• Evaluate solution performance, accuracy, and scalability of GenAI implementations
• Contribute to the end-to-end GenAI lifecycle, including: Solution design and development
• Integration and deployment
• Performance tuning and optimization
• Support secure deployment, horizontal scaling, and operational stability of GenAI workloads
• Assist in implementing monitoring, logging, and observability practices for production environments
• Develop and deploy GenAI systems across cloud platforms (Azure and AWS)
• Contribute to distributed system design for scalable AI workloads
• Utilize modern infrastructure practices: Containerization (Docker)
• Orchestration (Kubernetes)
• Infrastructure as Code (Terraform, ARM/Bicep)

Mid-Level AI Platform Engineer

• Develop and implement GenAI applications leveraging: Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) architectures, Prompt engineering techniques, Agentic AI concepts and workflows
• Build intelligent pipelines using frameworks such as LangChain, LangGraph, and Microsoft Foundry Agent Service
• Evaluate solution performance, accuracy, and scalability of GenAI implementations
• Contribute to the end-to-end GenAI lifecycle, including: Solution design and development, Integration and deployment, Performance tuning and optimization
• Support secure deployment, horizontal scaling, and operational stability of GenAI workloads
• Assist in implementing monitoring, logging, and observability practices for production environments
• Develop and deploy GenAI systems across cloud platforms (Azure and AWS)
• Contribute to distributed system design for scalable AI workloads
• Utilize modern infrastructure practices: Containerization (Docker), Orchestration (Kubernetes), Infrastructure as Code (Terraform, ARM/Bicep)
• Ensure solutions meet enterprise expectations for availability, performance, and security
• Develop scalable applications using Python and microservices-based architectures
• Apply secure coding standards and proper data handling practices for enterprise, regulated environments
• Contribute to CI/CD pipelines, automated testing, and deployment workflows
• Participate in code reviews and adhere to engineering best practices

Senior AI Platform Engineer

• Design, develop, and deploy GenAI solutions leveraging: Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) architectures, Prompt engineering techniques, Agentic AI workflows and orchestration
• Build intelligent systems using frameworks such as LangChain, LangGraph, AWS Bedrock, and Microsoft Foundry Agent Service
• Lead the end-to-end lifecycle of GenAI solutions including: Solution architecture and engineering, Integration with enterprise systems, Secure deployment and release management, Monitoring, observability, and continuous optimization
• Architect and deploy GenAI applications across cloud environments (Azure and AWS)
• Develop scalable, maintainable applications using Python and microservices-based architectures
• Provide architectural leadership and guidance across GenAI initiatives

Lead AI Platform Engineer

Application Engineer

• Configure and maintain application security tools within CI/CD pipelines (Jenkins-heavy environment)
• Perform application security scanning using SAST and software composition analysis (SCA) methodologies
• Support the development and expansion of dynamic application security testing (DAST) capabilities
• Analyze, triage, and track vulnerabilities, ensuring proper documentation and workflow management in ServiceNow
• Contribute to AI-focused application security initiatives, including use of automation and LLM-driven scanning techniques
• Maintain and enhance internal Java-based automation tools supporting security processes
• Support infrastructure components across cloud, on-prem, and containerized (Docker) environments

Application Security Engineer

• Develop and execute a clear, multi-year strategy for Elan’s Small Business portfolio—aligned to enterprise priorities and tailored to the FI partner model.
• Own and drive P&L performance, accelerating account growth, spend, and retention across the partner base.
• Strengthen Elan’s value proposition to financial institution partners—embedding Small Business as a core component of the broader relationship.
• Lead the development and evolution of Small Business card products, including digital-first capabilities, differentiated rewards/value propositions, and integrated solutions that meet the evolving needs of small business owners.
• Partner closely across PCS and U.S. Bank (e.g., Small Business Banking, Treasury, Merchant, Consumer) to unlock cross-sell and ecosystem value.
• Drive key transformation initiatives impacting Small Business—including digital origination, servicing modernization, and data/analytics capabilities.
• Attract, develop, and retain top talent and foster a performance-driven, accountable culture aligned with Elan’s values.

Head of Small Business

Data Engineer

• Define and drive enterprise data architecture strategy
• Establish target-state data platform architectures and standards aligned to business priorities.
• Translate business requirements into scalable data architecture solutions.
• Design and govern enterprise data ecosystems.
• Architect data solutions and integration strategies across systems.
• Ensure consistent access, integration, and consumption of data across platforms.
• Lead data architecture governance and quality initiatives.
• Define standards for data quality, metadata, master data, and lifecycle management.
• Establish data governance policies, compliance controls, and security practices.
• Drive platform and technology decisions.
• Evaluate and recommend data platforms, tools, and emerging technologies.
• Define standards for data integration, pipelines, and data services.
• Collaborate across business, data, and technology teams.
• Partner with stakeholders to align data architecture with enterprise objectives.
• Act as a bridge between data strategy and technical execution.
• Provide leadership and oversight.
• Lead architecture reviews and ensure adherence to standards.
• Support delivery teams through the product lifecycle.

Enterprise Data Architect

Analyst

• Collects functional requirements from the business line
• Assists application development team in creating functional designs
• Aids in testing of applications
• Analyzes and evaluates user needs
• Assists in developing and maintaining a complete and accurate understanding of how an impacted business unit conducts its business
• Assists in developing and maintaining detailed knowledge of the business' current technology and infrastructure from a functional perspective
• Assists in analyzing and documenting business processes of medium complexity
• Works with business representatives to identify, analyze, document, and refine detailed business needs of medium complexity and scope
• Designs functional solutions that appropriately meet the business needs
• Reviews test plans for multiple projects and ensures that test cases and results meet requirements
• Plays a key role in identifying and pursuing process improvement opportunities
• Proactively analyzes operational challenges raised by business users and collaborates with both internal and external clients, business partners, and developers to design and implement automated solutions
• Documents client requirements and translates them into clear business or technical specifications
• Develops and deploys high-quality, practical business solutions using available tools
• Systematically identifies and assesses business opportunities across various functions through data trend analysis and stakeholder input
• Conducts comprehensive system testing to ensure report accuracy and functional integrity
• Facilitates training sessions and demonstrates new system functionalities to relevant teams

Business Systems Analyst

Consultant

• Develops profitable business account relationships and increased profitability from existing and new accounts.
• Identifies business opportunities based on knowledge of clients, markets, products and services.
• Makes sales presentations to existing and/or prospective clients informing them of benefits of using the organization's products and services to meet their needs.
• Implements and maintains an effective referral network and call program to promote sales

Business Consultant

Payroll

• Own the product vision, roadmap, priorities, and performance outcomes for embedded payroll capabilities within Business Banking.
• Lead cross-functional execution across engineering, design, and content.
• Drive customer discovery and synthesize behavioral data, funnel performance, segmentation, and competitive insights.
• Partner with the payroll provider and internal stakeholders to align priorities and delivery plans.
• Define and manage product metrics to improve conversion, activation, engagement, retention, and adoption.

Product Manager, Payroll Customer Journey – Delivery

Artificial Intelligence

• Own end-to-end execution of AI initiatives across Consumer & Business Banking, from problem definition through implementation and value realization
• Translate business priorities into a clear, actionable AI roadmap aligned to financial, risk, and strategic outcomes
• Establish and manage structured intake, prioritization, and governance processes
• Drive portfolio alignment, eliminate duplication, and enable reuse of scalable AI capabilities across business lines
• Lead redesign of end-to-end business processes, embedding AI, automation, and analytics into core workflows
• Ensure AI solutions are integrated into frontline workflows to drive measurable productivity and client experience improvements
• Proactively identify and prioritize AI and automation opportunities that improve business performance and client engagement
• Serve as the primary point of accountability for AI execution within Consumer & Business Banking