Capital One

Data Engineer

• Collaborate with Agile teams to design, develop, test, implement, and support technical solutions
• Influence teams of developers, data analysts, and data scientists across machine learning, distributed microservices, lakehouse architecture, and full-stack systems
• Use Python and Spark, open-source relational and NoSQL databases, and cloud-based data warehousing platforms including Databricks and Snowflake
• Stay current with data trends, experiment with new technologies, participate in technology communities, and mentor data community members
• Collaborate with product managers and software engineers to deliver cloud-first data solutions
• Independently design, build, and deliver cloud data solutions and applications
• Architect and enforce data engineering design patterns for code quality, maintainability, and reusability
• Communicate technical concepts and data outcomes to internal and external stakeholders
• Design and build scalable, resilient, and operationally efficient data pipelines and platforms
• Implement data security standards including encryption and fine-grained access control to support privacy compliance

Full-stack Engineer

• Lead a portfolio of diverse technology projects and a team of developers working with distributed microservices and full-stack systems to create solutions meeting regulatory needs
• Stay current on technology trends, experiment with and learn new technologies, participate in internal and external technology communities, mentor engineering community members, and occasionally code or evaluate code
• Collaborate with digital product managers to deliver robust cloud-based solutions supporting millions of Americans' financial empowerment
• Lead teams using Java, Scala, Python, Go, Node.js, JavaScript, TypeScript, open-source relational and NoSQL databases, Docker, Kubernetes, and AWS tools and services
• Lead multiple Agile engineering teams or programs, providing strategic direction and ensuring delivery of large-scale cross-functional initiatives
• Partner with product, architecture, and platform leaders to define multi-year technology roadmaps and investment priorities
• Develop and manage Lead Engineers and engineering leads, building succession plans and scaling leadership capability
• Align engineering execution with enterprise goals and influence portfolio-level decisions and trade-offs
• Drive end-to-end design and implementation of large-scale distributed or cloud-native systems with high reliability and performance requirements

Senior Manager, Full-stack Engineer

Product Manager

• Deliver the next generation of the Recoveries platform supporting Capital One’s $3 billion Recoveries business
• Modernize existing processes through automation to improve efficiency and performance
• Learn current processes and envision future-state process possibilities
• Partner with operations, business analysis, and technology teams to define destination-state architecture and internal customer experiences
• Manage the rollout of modernization initiatives
• Collaborate with technology teams to develop acceptance criteria and identify research needs
• Break business epics into features and user stories, driving toward minimal viable products
• Use hypothesis-driven data assessment to validate business and product needs
• Own and prioritize feature development roadmaps while following risk-management processes
• Research and develop features using new and evolving technology in an agile environment
• Collaborate with designers, technologists, data scientists, and subject-matter experts
• Deliver product platforms aligned with technology trends and architecture strategy
• Build relationships across technology, design, stakeholder, and partner teams
• Articulate and communicate product roadmaps and business value

Senior Associate, Product Management – Card Recoveries Platform

Risk

• Ensure compliance with enterprise data standards and procedures for assigned areas of responsibility
• Provide data risk guidance within and beyond the organization
• Influence data risk policies and procedures at the enterprise level
• Develop and leverage relationships with line of business and enterprise data management stakeholders
• Create the organization’s data management strategy aligned with enterprise data policy expectations
• Monitor and report data management efforts, identify gaps and remediation options, and escalate impediments to senior leadership
• Design and/or share data management processes, procedures, and tools
• Design and implement local data governance processes and procedures
• Ensure data management impacts are appropriately assessed, documented, and implemented through change management

Data Risk Manager

Product Operations

• Own end-to-end execution for core operational deliverables and system processes that do not require direct Product or Tech engineering bandwidth
• Establish reporting, SLA tracking, and operational visibility across production workflows
• Serve as the primary operational point of contact for production escalations, diagnose issues, and drive cross-functional resolution
• Partner with Product Management on product roadmaps, operational readiness, and feature rollouts
• Modernize and maintain user-facing documentation, SOPs, and self-serve resources
• Develop, update, and maintain training frameworks and learning assets for recruiting teams, hiring managers, and operations staff
• Manage third-party technology vendor relationships, performance standards, SLAs, and reliable data access
• Safeguard platform compliance with internal risk management standards and external legal/regulatory requirements across talent acquisition data pipelines and vendor integrations

Manager – Joining Product Operations

• Execute major components of audits covering critical technology functions, cloud-based infrastructure, cybersecurity, risk management, applications, and third-party management
• Assist in leading components of small to medium-sized audits
• Perform risk assessments of business units and technology operations
• Design and execute audit procedures to verify control effectiveness
• Identify and define issues, review and analyze evidence, and document client processes and procedures
• Assess financial, legal, reputational, and other implications of business and technology risks
• Establish and maintain client relationships during engagements
• Communicate audit results to management through written reports and oral presentations
• Prepare clear, organized, and complete documentation
• Plan and prioritize work across multiple tasks and priorities
• Coordinate with teammates and take on additional work
• Communicate audit information, issues, and progress to teammates, clients, and the auditor-in-charge
• Perform engagement administration, including hours and budget tracking
• Provide on-the-job coaching and direct supervision to less experienced associates

Principal Associate, Tech Risk & Analysis – Technology Audit

• Lead a portfolio of diverse technology projects and a team of developers with experience in distributed microservices and full-stack systems
• Develop solutions that meet regulatory needs
• Stay current with technology trends and experiment with emerging technologies
• Participate in internal and external technology communities
• Mentor members of the engineering community
• Collaborate with digital product managers to deliver robust cloud-based solutions
• Use programming languages, open-source relational and NoSQL databases, Docker, Kubernetes, and AWS tools and services
• Provide technical leadership and direction across Agile teams
• Set standards for design, development, and operational excellence
• Partner with architects to define service boundaries, integration patterns, and reusable frameworks
• Identify improvement areas, perform targeted refactoring, reduce technical debt, and enhance system performance
• Evaluate emerging tools and practices to influence long-term technology strategy in a 'you build it, you own it' environment

Data Scientist

• Partner with cross-functional data scientists, software engineers, and product managers to deliver customer-focused products
• Use Python, Conda, AWS, H2O, Spark, and other technologies to analyze large volumes of numeric and textual data
• Build machine learning models through design, training, evaluation, validation, and implementation
• Translate complex data science work into tangible business goals
• Research and evaluate emerging technologies and state-of-the-art methods
• Develop personalized recommendation engines and high-scale machine learning solutions for web and mobile applications
• Contribute to research involving foundation models, reinforcement learning, causal inference, transformer architectures, and recommender systems
• Lead and develop talent while challenging conventional thinking and improving the status quo

Manager, Data Science

Financial Planning and Analysis

• Own the full P&L, including financial reporting and analysis for budgeting, forecasting, and variance analysis
• Analyze balance sheets, revenue, expenses, and headcount
• Deliver accurate financial reporting
• Provide actionable insights to business partners
• Evaluate Commercial FP&A processes to streamline and standardize workflows
• Deliver efficiencies for the larger finance team
• Support Corporate Banking as part of a collaborative Commercial FP&A team

Senior Financial Analyst, Commercial FP&A

• Drive day-to-day execution of migrating to a modernized core platform
• Work across Channels, Shared Services, Servicing Strategy, the program team, and lines of business
• Bridge the gap between the Core program vision and technical reality for 5 platforms and 3 tenants
• Manage the product backlog and scope specific workstreams to meet critical Day 1 and Day 2 milestones
• Partner with Tech Leads and Product Owners to resolve data gaps, finalize solutioning, and ensure operational readiness for agents and customers
• Lead cross-functional teams to solve customer problems and drive organizational alignment

Senior Manager, Product Management – US Card, Servicing & Core Modernization

• Partner with cross-functional data scientists, software engineers, and product managers to deliver customer-focused products
• Use Python, Conda, AWS, H2O, Spark, and other technologies to analyze large volumes of numeric and textual data
• Build machine learning models from design through training, evaluation, validation, and implementation
• Research and evaluate emerging technologies and state-of-the-art methods
• Develop personalized recommendation engines and customer experiences across web and mobile applications
• Work on Foundation Models, Reinforcement Learning, Causal Inference, Transformer architectures, and Recommender Systems
• Translate complex data science work into tangible business goals
• Lead and develop talent while improving existing approaches

Manager, Data Scientist – Recommendation & Personalization Systems

Performance Marketing

• Support a well-managed agenda through individual performance and critical thinking
• Support and drive positive outcomes for audits/exams, risk assessments, Process Level Assessments, business continuity, control evaluation, control testing, control builds, and process management/improvement
• Partner with risk management, event management, and compliance teams to contain, recover/remediate, document, and prevent future breakdowns
• Recommend and drive outcomes that mitigate risks while maintaining or enhancing business value
• Build and maintain stakeholder relationships to influence decision-making and alignment
• Support and execute strategic programs and initiatives strengthening process foundations, including Manage External Affiliate Marketing
• Collaborate with business leaders, Risk Managers, Audit, Legal, Compliance, and intent partners
• Recommend and prioritize work based on urgency, impact, customer experience, risks, and business value
• Develop expertise in formal and informal controls, including FUSE controls, and improve control effectiveness
• Recommend and implement new controls where needed
• Provide subject-matter expertise in risk evaluation, process governance, and continuous improvement
• Maintain accurate process documentation, identify gaps, and create documentation as needed
• Oversee the required process testing calendar, including preparedness and assessment support
• Continuously assess processes and identify opportunities to streamline and improve efficiency and effectiveness

Principal Associate, Process Management – Performance Marketing and Analytics

• Lead a portfolio of diverse technology projects and a team of developers working with distributed microservices and full-stack systems
• Create solutions that meet the company’s regulatory needs
• Stay current with technology trends, experiment with and learn new technologies, and participate in internal and external technology communities
• Mentor members of the engineering community
• Collaborate with digital product managers to deliver robust cloud-based solutions supporting millions of Americans
• Use Java, Scala, Python, Go, Node.js, JavaScript, TypeScript, open-source relational and NoSQL databases, Docker, Kubernetes, and AWS tools and services
• Provide technical leadership across Agile teams and set standards for design, development, and operational excellence
• Partner with architects to define service boundaries, integration patterns, and reusable frameworks
• Identify improvement opportunities, implement targeted refactoring, reduce technical debt, and improve system performance
• Influence long-term technology strategy by evaluating emerging tools and practices in a ‘you build it, you own it’ environment

Full Stack Engineer

Client Services Representative

• Act as project manager and primary point of contact for new client and new product setups
• Define and manage implementation activities
• Create and manage implementation project plans
• Coordinate internal, client, and vendor stakeholders for timely execution
• Coordinate and execute product testing activities
• Liaise with Commercial Bank business partners and external vendors
• Lead client training activities for new products and services
• Learn and become an expert in Capital One credit, deposit, and treasury management products
• Resolve client needs proactively and reactively
• Execute duties according to policies, standards, procedures, turnaround times, and quality levels
• Escalate constraints and concerns to management
• Investigate complaints, problems, and issues; identify root causes and sustainable solutions
• Research clients’ industries, businesses, and banking needs
• Advocate for client needs with internal stakeholders
• Develop effective solutions and recover service issues to delight clients
• Represent Treasury Management Operations with internal partners and clients
• Develop treasury management solutions using subject matter expertise and research
• Work on requested projects
• Own individual development

Senior Associate, Client Service Onboarding

Software Engineer

• Lead, manage, and grow multiple teams of product-focused software engineers
• Shape long-term technical strategy and architecture standards for enterprise platforms
• Partner with senior engineering and business leaders to align product roadmaps with scalable technology capabilities
• Drive talent strategy, including succession planning, skill development, and equitable opportunity
• Mentor and guide engineers’ professional and technical development
• Work with product managers to define application capabilities, testing scenarios, and customer experiences
• Continuously improve software engineering practices
• Design, develop, test, implement, and support full-stack technical solutions across Agile teams
• Lead the craftsmanship, availability, resilience, and scalability of solutions
• Stay current with technology trends, experiment with new technologies, and participate in technology communities
• Encourage innovation, inclusion, teamwork, self-organization, and diversity
• Improve engineering velocity across the organization
• Lead deployment of new and existing applications into AWS environments