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Seeking a Senior Platform Engineer with experience in Workday to support Human Resource technology at Capital One. Responsibilities include developing highly-resilient objects, championing automation, and delivering solutions across various HR functions. Must have at least 4 years of Workday experience and proficiency in functional configuration tasks.

Seeking a Senior Platform Engineer for Workday projects at Capital One, responsible for developing highly-resilient objects to support Human Resource technology. Responsibilities include collaborating with product owners, delivering solutions in Workday, and driving process improvements. Requires at least 4 years of Workday experience and proficiency in various Workday modules.

Seeking a Senior Platform Engineer with expertise in Workday functional configuration tasks to support Human Resource technology at Capital One. Responsibilities include collaborating with product owners, delivering solutions in Workday across various areas, and championing automation of processes.

Looking for an experienced Administrative Support Assistant III to support multiple executives at Capital One. Responsibilities include calendar management, travel arrangements, event coordination, and administrative tasks. Must have strong communication and organizational skills. High school diploma and 2 years of administrative experience required.

Manager, Process Management role at Capital One with a focus on software development lifecycle governance, controls, and requirements. Responsibilities include documenting, monitoring critical process points, measuring control effectiveness, leading initiatives, and collaborating with various cross-functional teams. Requires strong analytical skills, attention to detail, and leadership abilities.

The Manager, Process Management at Capital One will oversee software development lifecycle governance, controls, and requirements. Responsibilities include managing critical process points, monitoring data trends, leading departmental initiatives, and driving process improvement projects. Strong communication, analytical, and leadership skills are essential for success in this role.

Lead Machine Learning Engineer responsible for designing, building, and delivering ML models and components to solve real-world business problems. Collaborate in cross-functional Agile teams to create state-of-the-art big data and ML applications. Develop and validate ML models, automate tests and deployment, and maintain models in production. Utilize cloud-based architectures and build optimized data pipelines to feed ML models. Ensure responsible and explainable AI practices are followed.