Manager, Product Management,Card Intelligence Acquisitions Models

Discover Financial
Virginia, New York
Workplace: OnsiteFull timeUSD 164,800 - 188,100 annuallyFunction: Communications, PR & CommunityExperience: 3+ yearsEducation: bachelorsSkills: ["Systems thinking","Cross-functional collaboration","Prioritization","Transformational leadership"]

Lead product management for Card Intelligence, using machine learning to deliver behavior and risk models that support customer acquisition. Collaborate with data scientists and engineers to define platform and tool capabilities across an ML ecosystem, drive deployment of production models, and shape AI-native architecture patterns. Partner end-to-end on integration, adoption, and scaling, while managing prioritization for retraining and rebuilding. Operate a DS/Tech product pod with agile practices and stakeholder communication.

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Discover Financial
Discover Financial
4 hours ago

Manager, Product Management,Card Intelligence Acquisitions Models

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Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Lead product management for Card Intelligence, using machine learning to deliver behavior and risk models that support customer acquisition. Collaborate with data scientists and engineers to define platform and tool capabilities across an ML ecosystem, drive deployment of production models, and shape AI-native architecture patterns. Partner end-to-end on integration, adoption, and scaling, while managing prioritization for retraining and rebuilding. Operate a DS/Tech product pod with agile practices and stakeholder communication.
Location: Virginia, New York
Workplace: Onsite
Employment Type: Full time
Job Function: Communications, PR & Community
Seniority: Manager level

Key Responsibilities

  • •Deliver behavior and risk model capabilities that support customer acquisition business cases and outcomes.
  • •Define product capabilities for platforms and tools across the Card Intelligence ML ecosystem.
  • •Drive delivery and deployment of production machine learning models with cross-functional partners.
  • •Design and deliver ML platforms, tools, and standards; influence architecture patterns across the portfolio.
  • •Operate a DS/Tech product pod, manage prioritization for model retraining/refitting/rebuilding, and communicate with senior stakeholders.

Pay and Benefits

Salary: USD 164,800 - 188,100 annually

Key Requirements

  • •Bachelor’s or Master’s degree in a quantitative field (or in the process of obtaining it before the start date), or a Bachelor’s degree in any field plus at least 3 years of Product Management experience.
  • •Experience leading technology delivery or large technology transformation projects.
  • •Experience delivering machine learning solutions and big data projects.
  • •Experience translating business strategy and analysis into consumer-facing digital products (preferred).
  • •Ability to balance business and technology product requirements and drive consensus across partners.
Experience:3+ years
Education:Bachelor's in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems) or related; or Business or Marketing
Skills:Systems thinkingCross-functional collaborationPrioritizationTransformational leadership
Tech Stack:Machine LearningGenerative AIProduction ML modelsAgile management practices

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Discover Financial
Provides consumer banking products, credit cards, personal loans, and payment services through the Discover brand. It operates a major U.S. financial network and serves individuals and merchants with lending and digital payment solutions.
Industry: Retail Banking
Company Size: Enterprise (1,001+ employees)
Revenue: USD 10M to 25M
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Riverwoods, United States
Founded: 1985
WebsiteLinkedIn