Top Data & Analytics Jobs

The Senior Director of Data Engineering will lead the Enterprise Data organization at Capital One, focusing on developing scalable data products and platforms, driving data strategy, delivering high-quality data experiences, and leading a team of 70+ engineers while ensuring innovative solutions through collaboration and effective communication.

The Sr. Director of Data Engineering at Capital One is responsible for leading teams to deliver scalable data products, advancing data engineering practices, and ensuring high-quality data experiences. Key responsibilities include developing data strategies, partnering with product and design teams, and managing a large engineering organization.

The Sr. Director of Data Engineering at Capital One will lead the Enterprise Data organization, focusing on creating scalable data products and platforms. Responsibilities include driving data strategies, developing modern data stacks, and managing a team of 70+ engineers. The ideal candidate will possess a strong engineering background, be an effective communicator, and have a proven track record in delivering cutting-edge data solutions.

The Sr. Director of Data Engineering will lead teams to develop scalable data products and platforms, ensuring innovative use of data assets. Responsibilities include driving data strategy, collaborating with Product and Design teams, and managing a team of over 70 engineers to deliver quality data solutions and capabilities.

As a Senior Business Analyst at Capital One, you will analyze emerging risks affecting credit risk in the commercial portfolio, focusing on areas like climate impact. Responsibilities include designing and executing risk analyses, modeling for lending products, improving credit performance, and collaborating with various departments to enhance service and profitability.

As a Senior Business Analyst on the Emerging Risk Analytics team, you will analyze credit risks associated with emerging challenges, such as climate change. You will conduct research, create models, support product strategies, collaborate with various teams, and ultimately contribute to improved decision-making in credit risk management.

As a Distinguished Machine Learning Engineer, you will lead the design and implementation of machine learning applications and systems, mentor other engineers, and drive ML initiatives in the financial services sector. You will collaborate with interdisciplinary teams to solve complex business challenges, optimize data pipelines, and ensure the performance of ML models at scale.