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Product Management role at Capital One focusing on People Data Hub, leveraging HR data and advanced analytics to provide deep insights. Responsibilities include human-centered design, business focus, technology-driven decisions, integrated problem solving, and transformational leadership.

Seeking a motivated professional for a Manager position within the Finance Risk Management team at Capital One, focused on risks in Finance Product and Data Solutions organization. Responsibilities include leading risk strategies, fostering relationships, performing risk assessments, influencing decision-making, and collaborating to mature risk practices. Requires at least 5 years of experience in Finance-related roles and Risk Management practice.

Lead product management function for a portfolio of products in Source Code Management solution. Collaborate cross-functionally with stakeholders to drive roadmap and strategy for the SCM solution. Oversee the end-to-end product lifecycle and define success metrics.

Lead the Retail Data Management and Governance Team at a major financial company, managing cross-functional projects and programs with moderate to high complexity. Deliver data management strategies to ensure compliance and improve business efficiencies. Collaborate with key stakeholders, drive project delivery, and build relationships to meet commitments.

As a Senior Manager of Technical Program Management on Capital One's Enterprise Machine Learning team, you will execute high-priority enterprise-level initiatives, partner with cross-functional teams, create roadmaps aligning with business priorities, and build scalable, secure ML products and platforms.

Full-time paid internship program in Data Science at Capital One for Summer 2025. Requires currently pursuing a PhD, experience with open source programming languages and machine learning techniques, and expertise in Python, R, or SQL. Involves data analysis, model design, and integrating internal and external data sources.

At Capital One, data is at the center of everything we do. The Principal Data Analyst will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems. Responsibilities include innovation, business intelligence, and data management. Ideal candidates will have a degree in a STEM discipline, scripting experience in Python, R, Spark, and SQL, and experience with data in various forms. Basic qualifications include at least 5 years of experience in data analytics and proficiency in scripting languages, business intelligence tools, and data analysis.