CardWorks

Project Manager

• Lead multiple complex, high-visibility technology programs and projects from initiation through implementation and stabilization
• Develop and manage integrated project plans, budgets, schedules, dependencies, risks, assumptions, and resource allocations
• Drive delivery of strategic initiatives aligned with business objectives and regulatory requirements
• Manage competing priorities across multiple business units while maintaining quality, scope, schedule, and budget
• Serve as a Release Train Engineer (RTE) or Agile Program Lead for large-scale Agile initiatives
• Facilitate Program Increment (PI) Planning and execution, dependency management, and continuous improvement
• Monitor and report Agile delivery metrics and drive corrective actions
• Partner with senior business and technology leaders to define program objectives, success criteria, and delivery strategies
• Provide executive-level communications, status reporting, and portfolio updates
• Facilitate decision-making, issue resolution, and risk mitigation across stakeholder groups
• Build relationships across business, operations, compliance, risk, infrastructure, development, and vendor organizations
• Establish and maintain project governance frameworks and reporting structures
• Identify, assess, and proactively manage project risks, issues, dependencies, and constraints
• Ensure adherence to enterprise project management standards, SDLC requirements, audit controls, and regulatory obligations
• Support internal and external audits and compliance initiatives
• Coordinate technology implementations involving application development, infrastructure, cloud platforms, cybersecurity, data management, and vendor solutions
• Engage architects, developers, engineers, quality assurance resources, and third-party vendors
• Drive change management, implementation readiness, and adoption activities

Director, Technology Project Manager

Data Scientist

• Develop, validate, and maintain predictive models supporting Credit Risk, Marketing, Balance/Revenue forecasting, Direct Mail Response, and account-level valuation domains
• Own the end-to-end model development lifecycle, including problem framing, conceptual design, data analysis, model construction, validation, documentation, deployment, and user enablement
• Apply traditional statistical techniques, including logistic regression, generalized linear models, clustering, and forecasting methods
• Design and implement machine learning solutions using gradient boosting, random forests, ensemble methods, and other advanced analytical approaches
• Develop model monitoring frameworks covering performance, stability, fairness, and regulatory compliance
• Investigate model performance issues, identify root causes, and recommend corrective actions
• Perform complex data analysis and communicate insights, recommendations, and model performance to technical and non-technical audiences
• Support model governance, validation, compliance reviews, and regulatory examinations through comprehensive documentation and transparent methodologies
• Research, assess, and prototype emerging AI technologies, including large language models, retrieval-augmented generation (RAG), and generative AI applications
• Partner with business stakeholders, technology teams, and senior leadership as a technical leader within the Data Science & Modeling organization

Senior Data Scientist

• Plan, direct, and manage complex, multi-team projects from initiation through implementation
• Engage Business Stakeholders, Product Owners, and Technology delivery team members to understand business needs
• Translate business requirements into actionable technology solutions
• Manage project costs, resources, change requests, risks and issues, and program governance tasks
• Provide regular project status updates to maximize business benefit
• Develop and maintain project plans covering scope, effort, approach, and critical milestones
• Coordinate communications and facilitate resolution of risks and issues
• Create and present dashboards and status reports to management
• Facilitate discussions focused on improvement opportunities
• Ensure end-to-end testing and smooth production deployment of application changes
• Ensure applications and processes comply with financial regulations, security standards, and internal control policies and procedures
• Partner with Risk and Compliance teams to understand and comply with applicable laws and regulations
• Work closely with upper management and cross-functional departments to maintain project scope, direction, and schedule

Director, Technology Project Manager

Senior Data Scientist

Project Manager II, Project Management Office