Manager, Product Management, Card Intelligence

Capital One Capital One · Banking · New York, NY +1

Product Manager role focused on leveraging Machine Learning (ML) and potentially Generative AI to build customer-facing products and solutions within the Card Intelligence team at Capital One. The role involves defining ML requirements, reducing time-to-market for models, enabling scalable model deployment, and managing the product lifecycle for predictive risk models and potentially GenAI investigations, ultimately supporting business decisions and customer outcomes in the Business Cards & Payments (BC&P) line of business.

What you'd actually do

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

Skills

Required

  • Product Management experience
  • quantitative field degree (Bachelor's or Master's)
  • systems thinking
  • agile management practices
  • stakeholder management
  • prioritization
  • product lifecycle management

Nice to have

  • translating business strategy and analysis into consumer facing digital products

What the JD emphasized

  • Machine Learning (ML)
  • predictive risk models
  • Generative AI models
  • machine learning capabilities
  • bring models to market
  • machine learning requirements
  • scaling of models
  • rebuilding models
  • operating the current models

Other signals

  • Machine Learning (ML) to build the future of how we work with our customers across the entire customer lifecycle
  • develop and deploy a portfolio of predictive risk models
  • investigate Generative AI models
  • build world class Business Cards & Payments (BC&P) Line of Business
  • reduce the time it takes to bring models to market
  • Delivering machine learning requirements to define new architecture patterns
  • drive integration, adoption and scaling of models
  • balance retraining, refitting, and rebuilding models with operating the current models