Capital One

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 of your work into tangible business goals

Senior Manager, Data Science – US Card, Upmarket Segments

Product Manager

• Define strategy for agentic tooling that writes and validates rules
• Build & manage relationships across product and engineering
• Deliver business-critical transformation logic for consumer adoption

Manager, Product Management – Core Orion

Chief of Staff

• Serve as a strategic thought partner for our ESM leadership team, helping guide the operations and management of the organization.
• Act as a central point of contact between the executive leadership team, as well as with the Chief of Staff team, and other key partners to ensure alignment of leaders across the organization.
• Aid the leadership team in strategic planning, uncovering critical efficiencies and paving the path to help make the most out of each interaction and planning session.
• Manage the ESM leadership and business routines to drive clarity, alignment, and momentum toward our strategic priorities.
• Assist the leadership team with strategic planning including financial and resource planning in collaboration with key partners, including the Chief of Staff team, Finance, and HR.
• Create and manage effective, scalable processes to manage operating rhythms.
• Requires an ability to lead and influence to inject new operational processes to drive executional discipline and excellence.
• Creation of content required to enable strategic reviews, discussion, and decisions by our key leaders.
• Work with the leadership team and communications team to plan and execute key messages and deliver to internal and external audiences with a high priority on consistent, frequent organizational communications.
• Develop relationships within direct and extended team members to be able to act as an informed and helpful sounding board and thought partner.
• Manage and track AAS results across ESM, and support strategy for improvements.
• Support ESM recruiting strategy (e.g. ESM roles, MRP roles) and pipeline including serving as the liaison between ESM leaders and Talent Acquisition as well as tracking and reporting on open roles and requisitions.
• Oversee the strategy and efforts supporting associate engagement, morale, and organizational culture.
• Lead a team of Chief of Staff Associates and inspire operational strategy work across the organization.

Director, Chief of Staff – Enterprise Supplier Management

Marketing

• Develop strategies and POVs for activations for sponsorships properties, work to influence key stakeholders through presentation
• Lead and support the planning, development, and implementation of onsite experiences and VIP hospitality programs for tentpole sponsorships
• Support the Brand Sponsorships manager with cross-functional teams to develop and execute sponsorship activations and VIP hospitality programs
• Manage day-to-day deliverables with sponsorship properties, agency partners, and internal cross functional teams including communication of key deadlines
• Where necessary, assist with onsite activations and VIP hospitality programs at major events with responsibilities including vendor/agency management, coordination with property partners, and communicating updates to the internal team
• Aid in the creation of KPIs and communicating metrics and opportunities through written reports, presentations, and stakeholder status meetings
• Communicate key action items and status reports to internal and external stakeholders
• Coordinate information sharing amongst internal team and external partners related to event activations

Principal Associate, Brand Sponsorships – Experiential Marketing

Financial Crime

• Launch new features for Anti-Money Laundering platforms that ensure compliance with regulatory requirements
• Partner with other disciplines like Data and Tech to deliver outcomes aligned to a shared team mission and vision
• Accelerate product discovery, prototyping and delivery with AI tools
• Develop your roadmap and transform Enterprise Risk Management through innovation

Senior Associate, Product Management – Anti-Money Laundering

Communications

• Partner with team leads to execute communications campaigns that align with enterprise and line-of-business objectives
• Collaborate with internal and external stakeholders to ensure seamless implementation of communications strategies
• Contribute to team-wide efforts to develop processes and operational excellence
• Stay informed about industry trends to inform and enhance communication strategies

Manager, Global Enterprise Communications

Product Designer

• Set the Standard: Work alongside designers using new methods like quick prototyping and AI-assisted drafting.
• Practical AI Use: Use AI tools to build outlines, scripts, and practice scenarios.
• Hands-on Creation: Responsible for creative work from start to finish including writing scripts and creating digital games.
• Fix the Classroom: Design sessions for people to practice skills and get feedback.
• Build for the Flow of Work: Create short lessons that integrate into communication platforms like Slack.
• Prove It Works: Use data to see if programs help meet company goals.
• Design for Everyone: Ensure all tools built are user-friendly and meet accessibility standards.
• Be the Expert: Collaborate with learning consultants to develop effective training solutions.

Manager, Learning Experience Design

Data Analyst

• Refining a new Enterprise-wide analytical tools validation framework
• Planning and executing validation projects
• Assessing the quality and risk of analytical tool methodologies across Capital One
• Understanding technical issues in analytical tools and assessing tools risks and opportunities
• Independently researching, identifying, and prototyping industry best practices for emerging analytical tools
• Communicating results clearly and concisely both verbally and through written communications via validation reports and presentations
• Leveraging education, colleagues and training opportunities to develop solutions to business problems
• Coaching and mentoring junior staff

Senior Manager, Data Analysis – Card Alternative Data

AI Engineer

• Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
• 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, etc.
• Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.
• Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.
• Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.

Senior Lead AI Engineer, Gen AI Platform Services

• Partner with a cross-functional team of 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 a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch
• Invent and introduce state-of-the-art LLM optimization techniques to improve performance of large scale production AI systems
• Contribute to the technical vision and the long term roadmap of foundational AI systems

Lead AI Engineer, AI Foundations

Senior Lead AI Engineer, AI Foundations

Risk

• Exhibit excellent people management skills; helping associates grow and develop while holding them accountable, encourage and demonstrate a positive attitude, team spirit, set high standards, coach team members, provide feedback, communicate a vision, and encourage innovation
• Manage risk management initiatives to modernize control performance and support control builds, enhancements, and QA
• Manage a well-managed strategy to prepare for audits, overseeing assessments, responding to audit requests, and following through on remediation efforts
• Build successful relationships with Customer Resiliency L2s to understand impact of control performance on critical business processes
• Lead oversight of control performance team and support escalations and remediation of control performance issues
• Create and present impactful risk reports based on control performance observations, highlight key risks, trends, mitigation efforts, and control effectiveness
• Demonstrate excellent communication skills with the ability to influence partners across the company at multiple levels, including Audit, Risk, Data Analysts, and Process teams

Manager, Risk Management – Customer Resiliency

Business Development Rep

• Lead the full sales lifecycle, from initial prospecting to successful deal closure with C-suite level contacts
• Identify and secure new business opportunities by leveraging market data, analytical insights, and strategic prospecting to pinpoint high-potential partners
• Build and maintain a robust sales pipeline, continually engaging with prospective advertisers and industry stakeholders to drive new revenue growth
• Collaborate cross-functionally with Product, Revenue Management, and other internal teams to shape our offering and ensure seamless integration for new advertisers
• Articulate a compelling value proposition through the creation and delivery of executive-level presentations and proposals
• Negotiate and execute complex mid-market level contracts by building consensus and influencing decision-makers across multiple teams

Senior Manager, Strategic Business Development – Ad Solutions

Director

• Partner with a cross-functional team of data scientists, software engineers, machine learning engineers, and product managers to deliver AI-powered products
• Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation
• Engage in high impact applied research to push the latest AI developments into customer experiences
• Leverage a broad stack of technologies (Pytorch, AWS Ultraclusters, etc.) to process large volumes of numeric and textual data

Senior Director, Applied Research

Engineer

• Steward the technical strategy for the software delivery ecosystem focusing on continuous deployment and defining the technical vision for a modern, frictionless software delivery value chain.
• Lead the transformation of the software delivery value chain, powered by AI/ML capabilities intelligent automation, predictive testing, deployment risk assessment and operations.
• Lead the architectural vision, abstracting away complexity, and driving the creation of 'paved roads' that allow teams to move fast.
• Maintain a hands-on programming presence to prototype complex deployment architectures, validate architectural decisions, and build core foundational systems.
• Drive large-scale technical transformation, ensuring consistency of solution architectures across complex enterprise domains for compliance, adoption, and value delivery.
• Partner with engineering and business leaders the vertical Lines of Business to accelerate immediate improvements, define standards for software flow from commit to production, and serve as a subject matter expert for the enterprise.
• Grow technical leaders by mentoring engineers, fostering a culture of engineering excellence, and actively recruiting talent while championing an inclusive environment.
• Define metrics to measure and articulate company progress and work closely with key stakeholders such as internal risk partners and federal regulators.