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The Director of Data Science role at Capital One involves leading a team to build data pipelines and machine learning models, leveraging technologies like Python and AWS to derive insights for improving customer financial decisions.

Lead product discovery, requirements, and execution for Capital One's card processing platform, focusing on network integrations, legacy-to-target migrations, transaction management, resiliency, and operational excellence. Drive feature intake, triage, and cross-functional delivery with engineering, data, and stakeholders to minimize manual fixes and ensure seamless customer payment experiences.

The role involves leading a team to develop AI and ML solutions, manage customer interactions, and analyze large data sets using various technologies.

Leads Capital One’s AI integration strategy for Experience Design, owning roadmaps for AI tooling, AI-enabled design processes, and talent upskilling. Partners with senior Product, Engineering, and Design leaders to drive experimentation, adoption, workforce transformation, and measurable business value. Elevates product, service, and content design practices through human-centered strategy, design systems, research, prototypes, executive influence, and player-coach leadership.

Lead strategy for global acceptance, manage a team of analysts, drive quantitative and qualitative analyses for partnership and product decisions, deliver executive briefings, coordinate cross-functional execution, and own short- and long-term business outcomes.

Lead research and development of emerging ML (embeddings, foundation models, transformers). Build and productionize machine learning models at scale, partner with product and engineering, analyze large-scale transactional and clickstream data, and run experiments to improve customer experiences across marketing, servicing, and fraud domains.

Lead strategy, product, marketing, and credit-risk analytics for premium card products. Develop pricing and product strategies, build risk models, guide go-to-market, manage projects, and mentor 1–2 analysts while partnering across IT, sales, operations, and finance.

Lead analytical efforts to inform product, pricing, marketing, and credit risk strategies. Build and test models, perform SQL-based analysis, develop recommendations, drive implementation with cross-functional partners, and monitor results to improve profitability and customer experience.

Provide payments risk consulting and challenge for stablecoin and other payment initiatives. Partner with cross-functional teams to identify trends, analyze events, manage risk initiatives, support acquisitions, and report on enterprise payments risk. Research external payments risk themes and ensure ORM policy adoption.

Lead strategic business planning, product and pricing strategy, analytic modeling, and cross-functional execution for lending products. Manage/mentor analysts, drive credit-risk and marketing analytics, own business outcomes and coordinate delivery across IT, Finance, Sales, and Operations.