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American Express
American Express
B2BBankingFinance
American Express is a global financial services company operating across banking, finance, and B2B payments. Its business includes consumer, business, and corporate credit cards; payment and merchant services; savings accounts, certificates of deposit, and personal loans; as well as rewards, travel programs, corporate payment solutions, financial education, security services, and cardmember and merchant support.
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Data Science Manager, AI and Decision Science

Lead AI, machine learning, and decision science solutions supporting American Express global servicing. Guide analytical workstreams from problem definition and experimentation through production deployment, measurement, and optimization.

USUnited StatesNYNew York
$103,750 – $174,750 / year
HybridFull-timeMiddleSeniorEnglish RequiredData Scientist
PythonSQL

Description

  • Lead Decision Science problems and workstreams from framing and analysis through solution development, experimentation, measurement, and optimization
  • Develop analytical and decisioning solutions for servicing, personalization, membership value, colleague enablement, and operational excellence
  • Create AI, machine learning, and generative AI solutions for prediction, recommendation, optimization, experimentation, and intelligent orchestration
  • Evaluate agentic workflows, transformer-based recommenders, representation learning, conversational AI and LLM systems, personalization, and next-best-action methods
  • Select modeling and evaluation approaches, define data needs, assess trade-offs, and maintain analytical rigor and scalability
  • Build reusable data science products and decisioning capabilities with technology and platform teams
  • Support production deployment and evaluate business impact
  • Use experimentation, monitoring, and continuous learning to improve AI quality and business outcomes
  • Lead assigned workstreams and support colleague development through collaboration, knowledge sharing, and technical guidance
  • Turn analysis into clear recommendations and compelling narratives
  • Partner with stakeholders on solution choices, priorities, and execution

Requirements

  • Bachelor’s degree in a quantitative discipline such as engineering, computer science, mathematics, statistics, economics, or finance
  • Strong analytical and conceptual problem-solving skills, including the ability to structure business problems and work through ambiguity
  • Strong practical foundation in data science and machine learning
  • Proficiency with Python, SQL, or comparable tools
  • Experience developing and evaluating predictive or decisioning models
  • Experience applying AI or generative AI techniques, including solution development, experimentation, and model or AI evaluation
  • Experience owning analytical workstreams and working cross-functionally to advance solutions toward implementation and measurable impact
  • Strong written and verbal communication skills, with the ability to explain technical work through clear business recommendations
  • Preferred: Experience with agentic AI, agentic workflows, transformer architectures, transformer-based recommendation systems, conversational AI, LLMs, or related modern AI capabilities
  • Preferred: Experience with personalization, recommendation systems, next-best action, optimization, customer decisioning, or intelligent automation
  • Preferred: Knowledge of the end-to-end Decision Science lifecycle, including experimentation, productionization, monitoring, governance, and continuous optimization
  • Preferred: Experience using large-scale customer, behavioral, interaction, or operational data and creating reusable data science products
  • Preferred: Developing commercial judgment and storytelling skills that connect analytical and technical decisions to customer and business value; visa sponsorship may be available for certain positions subject to business, role, cost, and legal requirements.
  • Visa sponsorship may be provided for certain positions depending on business unit requirements, position nature, cost, and applicable laws

Benefits

  • Bonus incentive opportunities
  • 6% company retirement savings match
  • Complimentary financial coaching and financial well-being support
  • Comprehensive medical, dental, vision, life insurance, and disability coverage
  • Flexible hybrid, onsite, or virtual work arrangements based on the role and business needs
  • More than 20 weeks of paid parental leave for all parents for pregnancy, adoption, or surrogacy
  • Access to global onsite wellness centers with nurses and doctors, depending on location
  • Confidential counseling through the Healthy Minds program
  • Career development and training opportunities
  • Competitive base pay

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