Capital One

Communications

• Serve as a strategic partner to Card executives to plan and prepare effective, thoughtful and engaging internal communications
• Lead all facets of communications including all-employee meetings, digital/video storytelling, leader blogs, speaking engagements, team events and organizational change management
• Elevate stories from within client group to fuel our Card-wide editorial calendar
• Evaluate performance for communications based on real-time metrics and other key performance indicators to recommend strategy and refine as needed
• Partner with HR, Chiefs of Staff, line of business communicators, Corporate Communications, and other partners to deliver on tactics and strategic outcomes
• Provide best-in-class people leadership to a team of executive communicators supporting other leaders across Card by amplifying skills, fostering inclusion, providing direct feedback and coaching, and holding a high bar for talent and performance

Senior Manager, Card Executive Communications

Machine Learning Engineer

• Participate in detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms.
• Focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of ML applications.
• Design, build, and/or deliver ML models and components that solve real-world business problems.
• Inform ML infrastructure decisions using understanding of ML modeling techniques and issues.
• Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.
• Collaborate as part of a cross-functional Agile team.
• Retrain, maintain, and monitor models in production.
• Leverage or build cloud-based architectures.
• Construct optimized data pipelines to feed ML models.
• Leverage continuous integration and continuous deployment best practices.
• Ensure all code is well-managed to reduce vulnerabilities and ML follows best practices in Responsible and Explainable AI.
• Use programming languages like Python, Scala, or Java.

Lead Machine Learning Engineer

Data Scientist

• Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
• Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data
• Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
• Flex your interpersonal skills to translate the complexity

Principal Associate, Data Scientist – Card DFS Integration

• Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
• Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, to reveal insights from large volumes of data
• Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
• Flex interpersonal skills to translate complexity into actionable insights

Manager, Data Scientist – Card DFS Integration

Product Manager

• Direct the product lifecycle for surveillance tools monitoring email, chat (Bloomberg, Slack, Teams), and voice, ensuring robust detection of market abuse and conduct risk
• Act as the primary technical lead for high-stakes presentations to external legal counsel and regulatory bodies
• Own the creation of exhaustive functional specifications, logic workflows, and 'BRDs' that translate nuanced compliance requirements into clear engineering blueprints
• Demonstrate elite organizational skills by managing complex roadmaps, competing stakeholder priorities, and rigorous audit trails
• Partner with internal legal and risk teams to anticipate shifting global regulations

Manager, Product Management – Corporate Surveillance

• Own the Roadmap: Lead the product strategy and drive feature delivery on a predictable, high-quality cadence.
• Ship Impactful Improvements: Partner with engineering to deliver high-impact enhancements to the emerging verticals booking experience.
• Optimize via Data: Utilize data to identify key opportunities for conversion and engagement improvements.
• Experimentation: Run and analyze rigorous experiments to optimize the activities funnel.
• Innovate with AI: Prototype and validate product concepts using modern AI tools to stay ahead of market trends.
• Collaborate Cross-Functionally: Work seamlessly with design, data science, and engineering stakeholders to build a cohesive traveler experience.

Manager, Product Manager – Emerging Verticals

• Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams.
• Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation.
• Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.
• Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications.
• Retrain, maintain, and monitor models in production.
• Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.
• Construct optimized data pipelines to feed ML models.
• Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.
• Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI.
• Use programming languages like Python, Scala, or Java.

• Demonstrate proficiency in five key areas: Human Centered, Business Focused, Technology Driven, Integrated Problem Solving, Transformational Leadership.
• Listen to and learn from the millions of customers we serve to make sure our products, services, and experiences work as hard as they do.

Senior Manager, Product Management – Commercial Card, AI Decisioning

Risk

• Facilitate the risk assessment process associated with new/changing intent for multiple Card business areas
• Develop management reporting based on risk assessments
• Coordinate the various process interactions, including meeting logistics, and facilitating collaborative meetings with 1st and 2nd line process participants
• Stay current on the changing regulatory environment and understand the impacts to your businesses
• Partner with data analysts to iterate and improve upon risk monitoring and reporting
• Synthesize data and perform analysis to bring valuable business insights to the Card business
• Assess controls, and glean insights from issues and events in across business areas
• Design, implement, and/or influence internal governance processes
• Connect the dots of the changing strategic and operational priorities and risk environment and partnering with the risk advisors and business to understand the impacts
• Partner with internal customers to provide strategic and tactical thought partnership to effectively drive project delivery
• Demonstrate outstanding communication and partnership skills which are essential for interacting and communicating with key stakeholders across all levels to manage, inform, and influence outcomes
• Support, partner and interact with internal business clients in many forms such as advisor, project manager, or performer

Principal Associate – Card Risk

Operations

• Engage in dealer resolutions, Dealer Navigator support, call/chat, product support and billing
• Execute E2E Billing support
• Execute E2E Dealer Navigator and product support - Call/Chat Center with inbound and outbound calls
• Utilize all available resources and P&P for executing effective onboarding and servicing across all case and task types
• Establish and foster relationships with EDS vendors - web hosts and inventory aggregators
• Apply effective time management skills to manage daily workload
• Investigate issues and apply sound judgment to detect and mitigate product defects, dealer dissatisfaction, and areas of improvement
• Respond promptly and professionally to internal and external customers and discern when to appropriately escalate
• Exercise exceptional communication skills to optimize each contact with sales, external vendors, and dealer partners
• Responsible for continuous improvement of job knowledge by exercising active listening and engagement
• Establish and ensure compliance with departmental standards and processes to increase production and accommodate work volumes toward enhanced customer satisfaction
• Closely partner with product teams and provide Subject Matter Expert understanding and updates to the team and written documentation
• Participate in special projects and ad hoc requests as needed

Principal Ops Coordinator – Product Support & Billing

• Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
• Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data
• Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
• Flex your interpersonal skills to translate the complexity of your work into tangible business goals

Manager, Data Science – AI Software Engineering

Manager

• Deliver expert compensation consulting and develop proposals and presentations about compensation programs (including market data and appropriate pay levels/targets) to influence and educate senior level decision-makers
• Perform deep analysis on effectiveness and competitiveness of existing compensation programs and model potential impact of alternatives
• Conduct benchmarking and job evaluation using market data and internal evaluation, and regularly analyze our market position on jobs; make recommendations on market adjustments
• Develop plans, educational materials, and communications designed to provide associates, managers, and HR partners with timely and accurate information regarding compensation initiatives
• Consult with Human Resource Consultants on a regular basis, providing expert compensation guidance and recommendations

Compensation Manager

• Partner with Product and Tech teams, leveraging a trusted advisor model to support business initiatives, issue management, process improvement, control testing and related risk assessment activities
• Assist Tech and Product Risk leadership in delivering against their strategy and services
• Develop a deep understanding of business strategies, products, services, and risk profile
• Be able to evaluate the technical products and risk slope efforts based on technical and cyber impacts
• Implement process improvements: process certification framework, process hierarchy change management, change control, and risk reporting
• Ensure independent escalation of risk management gaps, issues, and concerns, including emerging risks and regulatory focus areas
• Consult on Risks across the first line of defense business partners providing advice and guidance as needed
• Participate in processes criticality assessments and process level assessments
• Manage multiple tasks independently to meet deadlines
• Communicate complex ideas concisely and convincingly, adjust communication to the audience and comfortable with presenting to executive leadership
• Collaborative, values diverse perspectives and seeks insights from others. Brings energy to the group and rallies them around a common goal.

Senior Manager, Technology Risk – Enterprise Services Risk

Security Engineer

• Act as a central Information Security point of contact supporting Capital One’s Enterprise Data and horizontal services organizations.
• Coordinate and execute proactive Information Security consulting to the business and technology teams covering API Security, File Transfer, Data Security, Infrastructure Security, Resiliency, Network Architecture and Design, and User Access Management
• Serve as an expert in Capital One’s Information Security capabilities, solutions, policies, procedures, and standards
• Influence customers to leverage security capabilities and solutions to shift and integrate security to the left in the development processes
• Escalate and manage cyber security risk
• Provide ad hoc support on special Information Security hot topics for the business
• Provide regular updates to executive leadership with your line of business on the overall Information Security health and risk environment
• Work with line of business leadership to anticipate their objectives and needs to better serve the line of business.

Senior Manager, Information Security Office

Client Services Representative

• Own the client experience in all interactions
• Execute job duties following policies within target turnaround times
• Keep stakeholders informed of status, risks, and issues
• Work with partners on complaints to find solutions
• Learn and become an expert in Capital One products
• Research client’s industry and needs
• Collaborate within and across teams to resolve client issues
• Advocate for client needs with internal stakeholders
• Develop effective solutions for client issues
• Travel to client sites when required
• Work on projects as requested
• Own your individual development

Senior Manager, Card Executive Communications

Lead Machine Learning Engineer

Principal Associate, Data Scientist – Card DFS Integration

Manager, Data Scientist – Card DFS Integration

Manager, Product Management – Corporate Surveillance

Manager, Product Manager – Emerging Verticals

Lead Machine Learning Engineer

Senior Manager, Product Management – Commercial Card, AI Decisioning

Principal Associate – Card Risk

Principal Ops Coordinator – Product Support & Billing

Manager, Data Science – AI Software Engineering

Compensation Manager

Senior Manager, Technology Risk – Enterprise Services Risk

Senior Manager, Information Security Office

Senior Associate, Client Services