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Manager, Product Management – Card Intelligence Acquisitions Models
Capital One. Build platform tools and products enabling seamless and scalable machine learning models .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and delivering machine learning platforms and tools, with a strong focus on product management and strategic decision-making. Proficient in collaborating with cross-functional teams to drive model integration and scaling while adhering to agile practices.
Highest-signal resume keywords
Machine Learning SolutionsProduct Management ExperienceAgile PracticesBig Data ProjectsTechnology Transformation Projects
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningProduct ManagementData AnalysisSystems ThinkingModel IntegrationArchitecture PatternsDeployment of Machine Learning ModelsConsumer-Facing Digital ProductsInvestment ManagementModel Retraining
Soft Skills
CommunicationConsensus BuildingStrategic InfluenceCollaborationStakeholder Engagement
Industry Keywords
AI-NativeQuantitative FieldBusiness StrategyTechnology DeliveryDigital Products
About the role
Key responsibilities & impact- Build platform tools and products enabling seamless and scalable machine learning models
- Influence strategic decisions and contribute to Capital One's Machine Learning product practice
- Partner with business, data science, and engineering leaders to reduce time to market for models
- Deliver machine learning platform and tool requirements and define new architecture patterns
- Partner with technology teams to define an AI-native future
- Balance business and technology product requirements and drive consensus
- Drive deployment of production machine learning models
- Design and deliver machine learning platforms, tools, and standards using systems thinking
- Drive model integration, adoption, and scaling
- Help prioritize and manage investment across model retraining, refitting, rebuilding, and operations
- Define and operate a product pod across data science and technology teams using standard agile practices
- Communicate with senior management stakeholders
Requirements
What you’ll need- Bachelor's or Master's degree in a quantitative field, Business, or Marketing, with the required degree obtained by the scheduled start date
- OR Bachelor's degree in any field and at least 3 years of Product Management experience
- Experience translating business strategy and analysis into consumer-facing digital products
- Must not require new employment authorization sponsorship from Capital One
- Experience leading technology delivery, large technology transformation projects, big data projects, or delivering machine learning solutions
Benefits
Comp & perks- Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI)
- Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being
- Reasonable accommodations for applicants who require them