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As a Senior Manager in Machine Learning Engineering, you will design, build, and deliver machine learning models and components while collaborating with product and data science teams. You'll oversee model training, deployment automation, and ensure compliance with best practices in AI. The role requires strong problem-solving skills and experience in cloud-based architecture and data-intensive solutions.

In this role, you will design and implement machine learning applications and systems at scale. You will collaborate with cross-functional teams to deliver ML models, build optimized data pipelines, and ensure the governance of models and adherence to best practices. Additionally, you will leverage cloud technologies to enhance ML applications and lead efforts in improving the infrastructure and performance of existing systems.

As a Distinguished Engineer at Capital One, you'll lead technical innovation by optimizing business outcomes with cloud technology, mentoring internal talent, and guiding teams in engineering excellence. You'll work closely with developers and management to ensure quality implementations and articulate technical vision across projects in decision-making solutions.

The Manager of Product Management for Accounts Payable will lead product development and strategic initiatives to enhance customer experiences for Capital One's Business Cards & Payments segment. Responsibilities include setting a product roadmap, driving UX/UI focus, utilizing customer insights, and fostering cross-team collaboration while mentoring junior associates.

The Senior Business Manager will lead strategic initiatives in Capital Risk Oversight, focusing on capital allocation, product development, marketing strategies, and credit risk performance. Responsibilities include managing analysts, improving business performance through analytics, and executing strategic business goals in collaboration with various teams across Capital One.

The Manager of Technology Risk Management at Capital One leads efforts to develop and implement cybersecurity and technology risk policies and procedures. This role requires collaboration with business leaders to assess, control, and manage cyber risks, ensuring that decisions are informed by risk assessments. It emphasizes expert oversight in technology and risk management activities.

As the Director of Data Science for Transaction Intelligence, you will lead the strategic direction and execution of data-driven insights for enhancing digital products, utilizing advanced machine learning and generative AI technologies to fulfill customer needs and improve service experiences, while mentoring a high-performing team.