Product Manager, ML Platforms & Card Intelligence

Capital One; New York (NY); On-site; USD 180,000 - 205,000; Full time

Job summary

Capital One is seeking a Manager, Product Management for Card Intelligence to shape ML platform capabilities and drive product delivery across teams in New York, NY and other locations. You will partner with data scientists and engineers to deploy production ML models and frame platform standards that accelerate model bring-to-market.

The role emphasizes balancing business and tech requirements, advancing agile practices, and collaborating with senior leaders to align strategy and execution on

Qualifications

• Bachelor's or 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), Business or Marketing
• OR Bachelor's degree in any field and at least 3 years of Product Management experience

Responsibilities

• Balance business and technology product requirements to drive consensus across our partners.
• Drive delivery of deploying production ML models.
• Use systems thinking to design and deliver machine learning platforms, tools and standards on a cross-functional team
• Look end-to-end to help drive integration, adoption and scaling of models
• Help manage prioritization and investment with cross-function teams to balance retraining, refitting, and rebuilding models with operating the current models.
• Define and operate a product pod across DS and Tech to drive standard agile management practices, while communicating with senior management stakeholders.

Skills

Product Management

Education

Bachelor's or Master’s Degree in a quantitative field or related

Bachelor's degree + 3+ years Product Management

Job description

Capital One is seeking a Manager, Product Management for Card Intelligence to shape ML platform capabilities and drive product delivery across teams in New York, NY and other locations. You will partner with data scientists and engineers to deploy production ML models and frame platform standards that accelerate model bring-to-market.

The role emphasizes balancing business and tech requirements, advancing agile practices, and collaborating with senior leaders to align strategy and execution on