Capital One

Artificial Intelligence

• Partner with data scientists, software engineers, machine learning engineers, and product managers to deliver AI-powered products
• Use PyTorch, AWS Ultraclusters, Hugging Face, Lightning, VectorDBs, and other technologies to uncover insights from large numeric and textual datasets
• Build AI foundation models through design, training, evaluation, validation, and implementation
• Conduct applied research and advance emerging AI developments into customer experiences
• Translate complex technical work into tangible business goals
• Research and evaluate emerging technologies and state-of-the-art AI methods
• Define and solve ambiguous problems and improve the status quo with stakeholders
• Contribute to talent development

Applied Researcher I – AI Foundations, VLM

Underwriter

• Serve as the business unit’s resident expert on regulatory matters surrounding commercial credit topics
• Monitor regulatory expectations and inform the business unit of anticipated regulatory actions or shifts in expectations
• Create strategies with Commercial Risk, Credit Review, and Regulatory Relations teams to address key changes
• Advise on regulatory reporting changes and drive conformance to related requirements
• Ensure Commercial Underwriting and Portfolio Management processes and governance routines conform to regulatory and enterprise expectations
• Ensure regulatory documentation requirements are met and support positive Credit Review and regulatory exam results
• Establish a framework for evaluating transactions from Credit Review and regulatory perspectives
• Act as in-business counsel and go-to resource for UW&PM teams at the transaction level
• Lead the UW&PM organization’s regulatory agenda, including recurring routines and targeted regulatory reviews
• Respond to and remediate escalated findings with Commercial Risk, Regulatory Relations, Credit Review, and Audit teams
• Liaise between UW&PM and the broader Commercial Fraud organization
• Manage multiple complex initiatives using project management and planning skills

Director, Commercial Risk, Underwriting – Portfolio Management

AI Engineer

• Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products
• Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability
• Leverage Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, and PyTorch
• Invent and introduce state-of-the-art LLM optimization techniques to improve scalability, cost, latency, and throughput of large-scale production AI systems
• Contribute to the technical vision and long-term roadmap of foundational AI systems at Capital One

Senior Lead AI Engineer, GenAI Platform Services

Business Analyst

• Own budgeting and forecasting for assigned areas
• Deliver financial management analyses to support financial and business objectives
• Contribute to and deliver presentations communicating results, outcomes, and actions to senior audiences
• Provide transparency on costs and drivers and communicate risks and opportunities to budget targets
• Address ad-hoc requests and special projects, including strategic long-term planning and product roadmaps
• Manage and prioritize workload independently
• Develop traditional FP&A and technical skills
• Manage P&L performance and provide Card Leadership with financial insights to influence strategy and drive business outcomes
• Build trusted relationships, including with senior leaders
• Mentor junior associates

Principal Financial Analyst – Business Cards & Payments

Director

• Set and drive overall product go-to-market strategy, execution, and commercialization across global Payments products
• Define and manage product-related go-to-market activities from strategy through market readiness and launch
• Work with cross-functional teams to set business commercialization strategies and ensure smooth commercialization of payments products
• Set strategy and continuously improve and automate channels and platforms for product documentation and training in a risk-controlled environment
• Lead go-to-market teams creating product toolkits, collateral, and training for Sales and end customers
• Create a culture of effective risk management, accountability, and risk awareness
• Develop strategic go-to-market strategies for critical products with domestic and international availability
• Own go-to-market strategies and contribute to Payments business goals
• Prioritize product go-to-market roadmaps while balancing trade-offs for effective market delivery
• Collaborate within Payments and with client-facing, product, operations, and marketing stakeholders
• Create vision and strategies for GTM product support and automation, including Product Library technology, access, usability, and channel utilization
• Own commercialization and risk management processes, procedures, and controls for the Product GTM function
• Identify opportunities to improve user experiences and product adoption
• Anticipate marketplace, regulatory, and business changes and incorporate them into strategies
• Understand business, data, and product needs with internal and external stakeholders
• Evaluate market and competitive trends

Senior Director, Global Payment Network – Product Market Strategy

Full-stack Engineer

• Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices and full-stack systems
• Create solutions that help meet the company’s regulatory needs
• Stay current with technology trends, experiment with and learn new technologies
• Participate in internal and external technology communities
• Mentor members of the engineering community
• Collaborate with digital product managers
• Deliver robust cloud-based solutions that drive experiences for millions of Americans
• Utilize JavaScript, Java, Node.js, HTML/CSS, TypeScript, SQL, Python, Go, open-source RDBMS and NoSQL databases, Docker, Kubernetes, and AWS tools and services

Lead Software Engineer, Fullstack – Python, Typescript, React, AWS

Performance Marketing

• Develop business strategies driving growth, profitability, and competitive success for Capital One
• Lead direct-to-consumer marketing efforts for select products and strategic intent for products distributed through digital marketing channels
• Develop new marketing strategy across internal and external stakeholders
• Design and execute rapid-fire market tests measuring NABs and NPV growth
• Manage the full lifecycle of marketing innovation, from scoping tools and platforms through rigorous pilot tests
• Partner with marketing vendors, data scientists, technology teams, marketers, product, operations, and agencies
• Synthesize research into strategic roadmaps for long-term performance
• Apply Capital One’s credit structure to evaluate marketing opportunities
• Use first-party and third-party customer data for advanced segmentation, customer-intent evaluation, and NPV optimization
• Develop audience targeting and suppression strategies using deep-dive analytics
• Manage and sequence delivery of business intent, build business requirements, and execute product strategy
• Oversee multiple projects and programs concurrently
• May manage and develop 1–2 analysts, including coaching and mentoring
• Foster innovation, drive critical decisions, hold business partners accountable, and deliver results

Business Manager – BC&P Paid Search, Social & Display Marketing Acquisition

Learning and Development

• Serve as a visionary architect for complex enterprise learning solutions
• Influence business intent and make strategic design recommendations for audiences at all levels
• Design holistic learning experiences using instructional design, learning experience design, storytelling, and data-driven iteration
• Translate business problem statements and measurement strategies into learning solutions
• Manage high-complexity portfolios containing multiple learning solutions
• Select appropriate modalities, including immersive e-Learning, executive workshops, digital job aids, self-paced, instructor-led, and virtual learning
• Apply UX/UI principles and storytelling to design learner journeys and engaging experiences
• Craft learning objectives and design experiences that create positive business impact
• Identify efficiencies and introduce emerging technologies to improve team output
• Design tailored, high-credibility experiences for associates, leadership, executives, and technical or creative audiences
• Use MVP-first rapid prototyping and feedback loops to evolve solutions
• Define metrics and measure real-world performance impact
• Partner with project leads, peer designers, consultants, SMEs, and multimedia teams
• Independently own and manage learning solution design, development, and delivery
• Define best practices and improve L&D processes
• Mentor team members and share design excellence practices

Principal Associate, Learning Experience Designer

Associate

• Manage expiring UTEPs by leading monthly kick-off and planning lifecycle, performing initial cyber risk triage, and actively managing a phased review process
• Drive communication cadences with stakeholders via dedicated channels regarding highly time-sensitive deliverables
• Facilitate executive approvals by leading end-to-end vetting of high-risk exceptions before review and approval, partnering with multiple stakeholders
• Drive UTEP reporting and analytics for monthly and quarterly reporting deliverables, ensuring data integrity and compelling storytelling
• Utilize AI solutions to enhance current reporting and processes
• Foster relationships with customers, stakeholders, and partners as a trusted Technology Risk advisor
• Enhance the risk profile of Capital One’s Retail Bank business through risk analysis, risk management, escalation, and mitigation

Senior Associate, Cyber Risk & Analysis, Retail Bank

Manager

• Develop, implement, and maintain enterprise ontologies supporting Capital One’s Data Strategy
• Develop domain ontologies across Capital One Lines of Business and Functions
• Partner with Technology, Machine Learning, and other teams to develop and integrate semantic technology into products and services
• Define actionable problem statements, acceptance criteria, success metrics, and measurable outcomes
• Own and prioritize the near-term Ontology and Data Modeling roadmap
• Create reusable, extensible, and resilient capabilities
• Develop and communicate a 6-month vision to senior stakeholders and partner teams
• Lead recruiting, mentoring, and development of junior ontology and data modeling associates
• Manage teams developing, implementing, and governing ontologies and optimized data models
• Contribute to data integration and mapping efforts
• Communicate and advocate the value of ontologies, semantics, and standardization across the business
• Monitor competitor and industry developments
• Adhere to W3C ontology standards including RDF, RDFS, OWL, SKOS, and SHACL
• Develop standards, guidelines, and direction for ontology, data modeling, semantics, and data standardization

Manager, Ontology – Data Modeling

Product Manager

• Collaborate with tech teams to build comprehensive acceptance criteria and identify needs for additional research
• Break down business epics into features and user stories, driving teams toward the lowest-effort or Minimal Viable Product (MVP) for valid feature testing
• Use hypothesis-driven assessment of data to ensure products and features address real business needs
• Own and prioritize feature development roadmaps while following processes and procedures to manage risk
• Conduct research and develop features using new and evolving technology in an agile environment
• Collaborate with designers, technologists, data scientists, and subject-matter experts to build solutions for customers
• Deliver well-managed product platforms by understanding technology trends and architecture strategy
• Participate in horizontal forums and build relationships among tech teams, designers, internal stakeholders, and partner teams
• Articulate product roadmaps, deliver business value, share with stakeholders, elevate team results, and become a product matter expert
• Help build Capital One’s Decisioning Platform for internal decisioning teams to build, test, launch, and scale critical decisions

Senior Associate, Product Management, Decisioning Platform

• Develop, implement, and govern ontologies and optimized data models with stakeholders to improve data discoverability, search, and product development
• Contribute to data integration and mapping efforts to harmonize data with Capital One’s upper and domain ontologies
• Communicate and advocate the value of ontologies, semantics, and standardization across the business
• Partner with Technology, Machine Learning, Product, and other Capital One teams to develop and integrate semantics into products and services
• Analyze and implement knowledge organization strategies using machine learning, ontology management, and semantic enrichment tools
• Maintain awareness of competitor and industry developments related to ontology use, knowledge organization, data modeling, and machine learning
• Understand and adhere to W3C ontology standards, including RDF, RDFS, OWL, SKOS, and SHACL
• Develop standards, guidelines, and direction for ontology, data modeling, semantics, and Data Standardization
• Test and troubleshoot new or updated models and systems
• Manage and oversee other projects assigned by Product Owners and Supervisors

Senior Associate, Ontology and Data Modeling

Principal

• Develop, implement, and maintain enterprise ontologies supporting Capital One’s Data Strategy
• Collaborate across Finance and Enterprise partners to develop domain ontologies supporting Enterprise initiatives
• Champion creation and adoption of standardized data
• Partner with Technology, Product, Machine Learning, and other Capital One teams to develop and integrate semantic technology into products and services
• Develop, implement, and govern ontologies and optimized data models with stakeholders to improve data discoverability, search, and product development
• Contribute to data integration and mapping efforts to harmonize data with upper and domain ontologies
• Communicate and advocate the value of ontologies, semantics, and standardization across the business
• Analyze and implement knowledge organization strategies using machine learning, ontology management, and semantic enrichment tools
• Maintain awareness of competitor and industry developments in ontology use, knowledge organization, data modeling, and machine learning
• Develop standards, guidelines, and direction for ontology, data modeling, semantics, and Data Standardization
• Test and troubleshoot new or updated models and systems
• Manage and oversee other projects assigned by Product Owners and Supervisors

Principal Associate, Ontology and Data Modeling

Data Engineer

• Collaborate across Agile teams to design, develop, test, implement, and support technical solutions
• Work with developers experienced in machine learning, distributed microservices, and full-stack systems
• Use Java, Scala, Python, open-source RDBMS and NoSQL databases, Redshift, and Snowflake
• Stay current with technology trends, experiment with and learn new technologies, participate in technology communities, and mentor engineering community members
• Collaborate with digital product managers to deliver robust cloud-based solutions supporting millions of Americans’ financial empowerment
• Perform unit tests and conduct code reviews to ensure rigorous design, elegant coding, and performance tuning

Applied Researcher I – AI Foundations, VLM

Director, Commercial Risk, Underwriting – Portfolio Management

Senior Lead AI Engineer, GenAI Platform Services

Principal Financial Analyst – Business Cards & Payments

Senior Director, Global Payment Network – Product Market Strategy

Lead Software Engineer, Fullstack – Python, Typescript, React, AWS

Business Manager – BC&P Paid Search, Social & Display Marketing Acquisition

Principal Associate, Learning Experience Designer

Senior Associate, Cyber Risk & Analysis, Retail Bank

Manager, Ontology – Data Modeling

Senior Associate, Product Management, Decisioning Platform

Senior Associate, Ontology and Data Modeling

Principal Associate, Ontology and Data Modeling

Senior Lead AI Engineer, GenAI Platform Services

Lead Data Engineer