U.S. Bank

Technical Project Manager

• Develop and maintain a risk-based audit plan for Capital Markets and broker-dealer activities.
• Independently plan, scope, and lead end-to-end audit engagements, including planning, fieldwork, issue identification, and reporting.
• Evaluate the design and operating effectiveness of controls across business processes, systems, and activities.
• Review audit workpapers to ensure quality, accuracy, and adherence to CAS policies and IIA Standards.
• Draft clear, concise audit reports that effectively communicate risks, issues, and recommendations.
• Build and maintain strong relationships with business line leadership, risk, compliance, and other assurance functions.
• Provide credible challenge on risk identification, control design, and control effectiveness.
• Communicate audit results, themes, and insights to senior management and governance forums.
• Supervise and coordinate engagement resources, including internal staff and co-sourced teams.

Senior Audit Project Manager – Capital Markets

Program Manager

• Lead and direct large, complex programs in support of the bank’s overall money movement strategy
• Provide direction to project staff across multiple workstreams and stages within assigned programs
• Establish program governance, and drive execution to ensure initiatives are implemented, adopted, and operating effectively
• Translate corporate objectives into clear program objectives, operating practices, and measurable outcomes
• Focus on cross‑line‑of‑business coordination, optimization, and reuse of money movement capabilities to reduce duplication and drive enterprise‑wide efficiency
• Operate within a heavy partnership model, working closely with product leaders across business lines, platform, operations, and technology teams, as well as legal, risk, compliance, and advocacy partners
• Interface externally with payment networks and industry partners, including Visa, Mastercard, and other payment system operators
• Balance strategic leadership with disciplined execution, shaping direction, priorities, and investment decisions while driving delivery of emerging and traditional money movement capabilities at scale

Senior Enterprise Payments Program Manager

Financial Planning and Analysis

• Supports strategic financial planning and analysis for the Treasury & Payment Solutions line of business
• Develops and manages financial reporting and presentations for business line leadership reviews and decision support
• Develops financial and economic analysis and provides recommendations to management based on findings
• Supports the monitoring of financial performance and key initiatives against plan and forecast objectives
• Works closely with business line leadership and Finance partners to provide insight into key financial metrics and results
• Delivers consolidation support for Treasury & Payments Solutions financial reports, forecast reviews, annual financial plans, and capital expenditure financial submissions

Finance Manager – Treasury & Payment Solutions

Analyst

• Develop, validate, test, document, and implement complex statistical models used to monitor suspicious activity within U.S. Bank customer accounts
• Take ownership of existing models and support the development of new models
• Create/develop models and model documentation
• Conduct periodic performance assessments, tune/calibrate, and ensure models meet regulatory expectations
• Communicate model performance, limitations, and findings to stakeholders across compliance, risk, and technology teams
• Deliver model development artifacts, performance assessments, implementation documentation, business requirements for model integration, ongoing monitoring reports, and presentations

Quantitative Model Analyst, Level 2

Account Manager

• Source, onboard, and scale Tier-1 embedded payment partnerships while maximizing value across existing relationships
• Identify and engage new partners in core industry verticals; develop executive-level relationships across product, commercial, and technical stakeholders
• Build and maintain a robust pipeline of high-potential prospects and drive progression from evaluation to commercial agreement and go-to-market launch
• Manage the entire sales lifecycle—from initial prospecting through contract execution, go live, and beyond
• Collaborate with cross-functional teams to lead solution workshops, develop financial analyses, and refine embedded payments strategy

Senior Director, Partner Executive – Embedded Payment Partnerships

Risk

• Managing, monitoring and coordinating fraud risk management projects for card, deposit and loan products
• Predicting the level of fraud risk
• Developing policies and procedures used to evaluate and control fraud risk
• Analyzing the potential profit/loss impact on the assigned product line
• Developing and maintaining the analytical framework and support systems for the fraud claim management and reporting processes
• Designing, implementing, and monitoring fraud detection rules

Fraud Risk Analyst

Platform Engineer

• Design, build, and operate the enterprise Snowflake data platform supporting multiple business domains (Finance, HR, Supply Chain)
• Own the Snowflake platform lifecycle , including account topology, RBAC, network architecture, governance, CI/CD automation, and disaster recovery
• Build and maintain multi‑account Snowflake environments (PROD / NONPROD / DEV) on Snowflake Business Critical edition
• Implement secure Azure Private Link connectivity , including private endpoints, Private DNS Zones, and network policy enforcement
• Develop and maintain Terraform modules to automate provisioning of Snowflake resources (databases, schemas, warehouses, roles, tags, monitors, integrations)
• Enable self‑service platform consumption through validated YAML manifests deployed via Shield CI/CD pipelines
• Integrate Snowflake with Entra ID (Azure AD) using SAML SSO, SCIM provisioning, and enterprise RBAC patterns
• Manage service account authentication, secrets, and key rotation using HashiCorp Vault and Azure Key Vault
• Enforce security and compliance controls , including data masking, row‑level security, object tagging, audit logging, and policy‑as‑code
• Embed infrastructure and supply‑chain security scanning into CI/CD pipelines (Checkov, tfsec, Semgrep, Snyk)
• Design for resiliency and cost efficiency , including warehouse sizing, resource monitors, cost allocation tags, and chargeback reporting
• Own cross‑region disaster recovery , replication strategies, and RPO/RTO adherence
• Govern secure data sharing patterns and monitor data sharing usage and approvals
• Partner with Cloud, IAM, Security, and FinOps teams to ensure alignment with enterprise standards and regulatory requirements

Lead Platform Engineer

• Design, build, and operate the enterprise Snowflake data platform supporting multiple business domains (Finance, HR, Supply Chain)
• Own the Snowflake platform lifecycle, including account topology, RBAC, network architecture, governance, CI/CD automation, and disaster recovery
• Build and maintain multi‑account Snowflake environments (PROD / NONPROD / DEV) on Snowflake Business Critical edition
• Implement secure Azure Private Link connectivity, including private endpoints, Private DNS Zones, and network policy enforcement
• Develop and maintain Terraform modules to automate provisioning of Snowflake resources (databases, schemas, warehouses, roles, tags, monitors, integrations)
• Enable self‑service platform consumption through validated YAML manifests deployed via Shield CI/CD pipelines
• Integrate Snowflake with Entra ID (Azure AD) using SAML SSO, SCIM provisioning, and enterprise RBAC patterns
• Manage service account authentication, secrets, and key rotation using HashiCorp Vault and Azure Key Vault
• Enforce security and compliance controls, including data masking, row‑level security, object tagging, audit logging, and policy‑as‑code
• Embed infrastructure and supply‑chain security scanning into CI/CD pipelines (Checkov, tfsec, Semgrep, Snyk)
• Design for resiliency and cost efficiency, including warehouse sizing, resource monitors, cost allocation tags, and chargeback reporting
• Own cross‑region disaster recovery, replication strategies, and RPO/RTO adherence
• Govern secure data sharing patterns and monitor data sharing usage and approvals
• Partner with Cloud, IAM, Security, and FinOps teams to ensure alignment with enterprise standards and regulatory requirements

Lead Snowflake Platform Engineer

AI Engineer

• Champion Agile principles and practices across AI and data-focused teams, driving adoption and continuous improvement
• Coach product owners, engineers, and business stakeholders on Agile frameworks such as Scrum, Kanban, or SAFe
• Facilitate core Agile ceremonies (sprint planning, stand-ups, reviews, retrospectives) to ensure effective team execution
• Foster a culture of transparency, collaboration, and iterative delivery across cross-functional teams
• Partner with technical teams (data science, ML engineering) and business leaders to translate AI use cases into actionable backlogs and sprint goals
• Guide teams in delivering AI/ML solutions iteratively, accounting for experimentation, model training, and validation cycles
• Align delivery plans with business objectives, ensuring AI initiatives provide measurable value
• Support prioritization of work based on business impact, technical dependencies, and data readiness
• Enable collaboration across diverse teams, including data scientists, engineers, product managers, and domain experts
• Remove impediments and escalate risks impacting delivery timelines or outcomes
• Act as a liaison between technical and non-technical stakeholders to ensure shared understanding
• Define and track Agile and AI-specific performance metrics (e.g., velocity, cycle time, model performance indicators)
• Ensure AI delivery adheres to governance, compliance, and ethical standards (e.g., bias, data privacy)
• Facilitate retrospectives and apply learnings to improve delivery effectiveness and team maturity
• Promote data-driven decision-making and experimentation
• Support enterprise Agile transformation efforts, particularly within AI and digital initiatives
• Influence leaders and stakeholders to adopt Agile ways of working and AI-enabled delivery models
• Drive mindset shifts toward iterative development, experimentation, and continuous learning

AI Platform Agilist

Artificial Intelligence

• The AI Strategy & Transformation is a senior enterprise leader responsible for shaping how AI strategy is translated into scalable, high-impact outcomes across the organization.
• Partner with the Head of AI Strategy to operationalize enterprise AI strategy through roadmaps, RAI principles, and transformation priorities.
• Drive cross-business alignment to ensure AI initiatives reinforce a unified enterprise direction while enabling domain-specific tailoring.
• Enable AI product/platform strategy execution by translating strategy into reusable enterprise capabilities, reference patterns, and adoption plans.
• Partner with Risk, Compliance, Legal, Privacy, Security, and Model Risk Management to align AI initiatives with enterprise governance requirements and emerging regulatory expectations.
• Establish and scale governance mechanisms that support safe and compliant AI deployments.
• Shape and prioritize high-impact AI use cases and transformation initiatives; ensure the pipeline balances quick wins, strategic bets, and foundational platform capabilities.
• Implement measurement frameworks to evaluate business impact, efficiency, risk reduction, customer outcomes, and ROI for AI deployments; continuously inform strategy and solution improvements based on measurable outcomes.
• Drive organizational engagement through outreach, workshops, and collaborative forums to instill an AI-first mindset and best practices at scale.
• Guide large, cross-functional AI programs to ensure alignment, execution discipline, and value realization across business and technology teams.
• Identify and support breakthrough transformation initiatives to accelerate readiness and adoption across the organization.
• Influence without direct authority to align stakeholders across business lines, enterprise architecture, engineering, data, operations, and risk functions.
• Lead strategic AI vendor and ecosystem partnerships across hyperscalers, AI platforms, data providers, and system integrators.

AI Strategy – Transformation Leader

QA Automation Engineer

• Tests, creates, implements and supports robotics process and desktop automations
• Performs design, scripting, testing, implementing, maintaining and modifying automations of moderate complexity, significance, and risk
• Creates comprehensive test plans and test cases; defines automation data needs across systems and creates a plan to coordinate this test data
• Creates and executes performance tests to ensure the expected automation performance levels are achieved
• Performs, and at times, leads clients and technical staff to investigate, analyze, and resolve technical problems
• Writes documentation that describes automation capabilities and operating procedures
• Estimates and defines time tables and project tasks; analyzes and estimates cost and time
• Conducts analysis of organizational needs for the creation and implementation of automation solutions; participates in feasibility assessments of new automation opportunities and helps determine best approach for automation

Automation Engineer, Level 3

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
• Takes feedback from code review and apply changes to meet standards
• Conducts code reviews to provide guidance on engineering best practices and compliance with development procedures
• Accountable for ensuring all aspects of product development follow compliance and security best practices
• Exhibits relentless focus in software reliability engineering standards embedded into development standards
• Embraces emerging technology opportunities and contributes to the best practices in support of the bank’s technology transformation
• Contributes to a culture of innovation, collaboration and continuous improvement
• Reviews tasks critically and ensures they are appropriately prioritized and sized for incremental delivery; anticipates and communicates blockers and delays before they require escalation

Software Engineer 2 – API, NodeJS, Javascript

• Partner with Relationship Manager(s) to support and manage Healthcare Business Banking relationships, including medical, dental, veterinarian and professional practice clients, and the associated loan portfolio
• Analyze financial statements, including provider revenue models and practice performance metrics, to prepare comprehensive written credit analyses
• Monitor and manage credit quality across a portfolio that may include practice finance, commercial real estate (CRE), and healthcare expansion lending
• Serve as a trusted resource to clients by responding to healthcare lending and credit-related inquiries, including working capital and growth financing needs
• Identify opportunities to expand relationships through deeper understanding of practice lifecycle events (startup, acquisition, expansion, succession planning)
• Support portfolio growth by balancing relationship development with sound credit risk management and regulatory alignment in healthcare banking

Business Banking Relationship Analyst

Business Banking Healthcare Relationship Analyst

Systems Engineer

• The Nexthink Systems Engineer creates and integrates solutions and services.
• The Nexthink Systems Engineer directs or recommends enhancements for system performance, reliability, scalability, and capacity.
• Leads the configuration of hardware and software solutions.
• Evaluates product and service solutions.
• Leads and develops multi-platform converged enterprise standards.
• Models and provides solutions targeted to meet existing, enhanced, and new platform solutions for business, customer, and infrastructure services.
• Subject matter expert in multiple hardware and software platforms.
• Leads advanced knowledge sharing and recommendations for system hardware/software solutions, telecommunication protocols, configurations, security, network protocols, and services.
• Develops new solutions and integrated service offerings to meet large-scale or enterprise projects or service requirements.
• Provides senior technical leadership representing various hardware platforms and software configurations in cross-functional team.
• Troubleshoots, resolves, and recommends improvement for systems, network, and security problems at an advanced level across multiple/converged technology solutions, services, and platforms.
• Creates, directs, and leads technical team efforts for performance improvement, expansion, and procedures across multiple/converged services and platforms.
• Works effectively with all technical disciplines and senior management.
• Authors and provides input for multiple and converged systems and services, system documentation, procedures, and processes.
• Coordinates the maintenance and modification of systems.
• For multiple and converged systems and services will lead or provide guidance for advanced technical support.
• Develops and performs capacity and resource planning to optimize and expand existing network systems.