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In this role, you will lead the Open Banking team at Capital One, defining a long-term vision, developing product and business strategies, and fostering collaboration with cross-functional partners to enhance customer experiences and drive innovation.

The Manager, Product Manager for Retail Bank Payments will lead the team in developing innovative payment experiences through collaboration with designers, engineers, and data analysts. Responsibilities include shaping product strategy, executing projects, utilizing data for insights, and managing Agile teams to enhance user experiences.

As a Senior Associate UI/UX Designer at Capital One, you will create impactful product experiences, define customer problems, validate product concepts, and work with teams to deliver innovative solutions. Your responsibilities include collaborating on strategy, engaging in user research, and leading design processes to enhance the internal auditor's experience.

The Sr. Design Manager will lead strategic product vision, coordinate design talent growth, and manage teams to enhance digital experiences within the Audit organization. Responsibilities include using visual storytelling, conducting user research, translating insights into prototypes, and collaborating with product and tech leaders to deliver impactful product strategies.

The UI/UX Designer will collaborate with technology and business teams to create user-centric digital experiences, conducting user research, designing wireframes and prototypes, and advocating for customers' needs while championing a collaborative design community.

As a Manager in Product Management at Capital One, you will drive innovative customer experiences through technology, define product roadmaps, collaborate with tech teams, and develop a vision for meaningful outcomes. You need to focus on user-centered design, data-driven decisions, and effective risk management while mentoring junior team members and fostering team culture.

As a Lead Machine Learning Engineer, you will focus on automating model governance, building optimized data pipelines, collaborating with cross-functional teams, leveraging cloud technologies, and advocating for best practices in software and machine learning engineering.