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Senior Product Manager, Enterprise Model Platform (EMP) Training. Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology. We believe our portfolio of businesses and investments in growth and transformation will result in a company with the scale, brand, capabilities, talent, and values to succeed as the digital revolution transforms our society and our industry.
Job Responsibility:
Championing the User: Serve as the voice of the user to turn pain points into meaningful UX improvements. Manage a user communication strategy derived from ongoing surveys and feedback gathering. Fully own the user journey from onboarding to progression
Driving Platform Excellence: Enhance platform efficiency and performance by creating robust user analytics dashboards, managing intake requests, and partnering with tech teams on compliance and modernization efforts
Strategic Execution: Work across the platform with product and tech leadership to shape a roadmap that centers the user experience, promotes a well-governed platform, integrates with the converging ecosystem of products, all while pushing the envelope on new AI-driven capabilities
Requirements:
At least 5 years of experience working in Product Management
Currently has, or is in the process of obtaining a Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field)
Currently has, or is in the process of obtaining a Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration
Nice to have:
Experience leading product management for enterprise platforms, MLOps, data science, or internal developer tools
Familiarity with cloud computing environments (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Kubernetes)