Capital One

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

Data Engineer

• Collaborate with 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, and cloud-based data warehousing services such as Redshift and Snowflake
• Stay current with technology trends, experiment with and learn new technologies, participate in internal and external technology communities, and mentor engineering community members
• Collaborate with digital product managers to deliver robust cloud-based solutions supporting financial empowerment experiences
• Perform unit tests and conduct code reviews to ensure rigorous design, code quality, and performance

Lead Data Engineer

• 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

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

• 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

Data Scientist

• Identify, analyze, and mitigate systemic risks within a newly launched, multi-model business decisioning infrastructure
• Identify gaps and vulnerabilities using advanced statistical tools and techniques
• Leverage pre-existing infrastructures or build new ones where necessary
• Build and deploy solutions centered on Large Language Models (LLMs) and Agentic AI
• Partner with data scientists, business analysts, and software engineers to deliver products and tools
• Translate complex technical work into tangible business goals
• Research and evaluate emerging technologies and apply state-of-the-art methods
• Develop and validate predictive models using large-scale data and cloud-based processing
• Partner with credit programs to improve customer-facing policies

Manager, Data Scientist – Card Mainstreet Acquisitions

• Lead mission-critical platforms that power billions of customer interactions
• Build scalable, well-managed, and data-driven solutions across Customer Services & Strategy teams
• Architect data products and publishing patterns for enterprise-level routing and workforce insights
• Guide customer resiliency recoveries offer programs serving customers with outstanding balances
• Build fraud detection and mitigation solutions for personal loans
• Oversee real-time ingestion and safeguarding of a 15-billion-plus document ecosystem
• Build reusable tools optimizing software developer and frontline agent experiences
• Direct product strategy for customer servicing agent empowerment, performance management, coaching, and quality assurance
• Lead strategy for alerting, traceability, logging, automated controls, and system observability
• Partner cross-functionally to build scalable technology-driven architectures, deploy real-time alerts, ensure compliance, and reduce incident recovery times
• Lead cross-functional teams, solve customer problems, and drive organizational alignment

Manager, Product Management

Engineer

• Identify opportunities for automation, evaluate new tools, and drive implementation of value-creating technology
• Build relationships with customers, stakeholders, and team members
• Provide regular project progress updates to management
• Support rollout and onboarding of new applications
• Deliver software components meeting functional specifications and product requirements
• Automate component and integration tests
• Collaborate with tech leads on integrated end-to-end design and delivery
• Apply secure coding practices
• Use open-source technologies and frameworks to solve business problems
• Contribute across the full stack and own all aspects of delivering business applications
• Monitor, troubleshoot, and resolve related incidents
• Provide operational support through change and incident management processes
• Work on the SailPoint identity platform to support Identity Access Management needs

Senior Associate, SailPoint Engineer

Product Designer

• Lead Partner Experiences in the Global Payment Network
• Combine product design craft expertise, influence, and strategic thinking with customer and business understanding
• Co-create innovative solutions to complex problems
• Drive product strategy and contribute to a high-performing design team culture
• Apply interaction, visual, and service design expertise
• Help oversee and optimize appropriate tools, platforms, frameworks, and design systems
• Develop artifacts including vision stories, journey maps, blueprints, high-fidelity designs, and prototypes
• Lead, mentor, and consult with designers to mature the design discipline and build team culture
• Shape product direction and outcomes using content design expertise, user insights, and business understanding
• Drive alignment across product, technology, and business partners
• Advocate for human-centered methodologies using data, research insights, and design expertise
• Manage and shape the design portfolio based on products, processes, customers, competitors, and market trends
• Own problem-solving approaches and balance competing priorities
• Engage cross-organizational expertise to advance workstream projects
• Present work across organizational levels and job functions to influence stakeholders and achieve results
• Oversee end-to-end creative production, including motion, 3D, and digital content ecosystems
• Build scalable systems delivering consistent, high-quality creative results

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

Lead Data Engineer

Senior Associate, Ontology and Data Modeling

Principal Associate, Ontology and Data Modeling

Senior Lead AI Engineer, GenAI Platform Services

Lead Data Engineer

Manager, Data Scientist – Card Mainstreet Acquisitions

Manager, Product Management

Senior Associate, SailPoint Engineer

Senior Manager, Product Design