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American Express
American Express
B2BFinanțeServicii bancare
American Express este o companie globală de servicii financiare care activează în domeniile bancar, financiar și al plăților între companii. Activitatea sa include carduri de credit pentru consumatori, companii și corporații; servicii de plată și pentru comercianți; conturi de economii, certificate de depozit și împrumuturi personale; precum și programe de recompense, programe de călătorii, soluții de plată pentru companii, educație financiară, servicii de securitate și asistență pentru membrii care dețin carduri și pentru comercianți.
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Director of Data Science - American Express - New York Hybrid

Lead AI and Decision Science strategy for American Express Global Servicing, developing production-ready decisioning, recommendation, and conversational AI capabilities.

USStatele Unite ale AmericiiNYNew York
144.250 $ – 256.250 $ / an
HibridNormă întreagăLiderLimbă Obligatorie: englezăSpecialist în știința datelor

Descriere

  • Set and direct the Decision Science roadmap for Global Servicing
  • Find and rank high-value opportunities across servicing, membership engagement, colleague productivity, and operational performance
  • Convert business strategy into Decision Science priorities, success metrics, and investment decisions
  • Provide technical direction across AI and machine learning, generative AI, prediction, recommendation, optimization, experimentation, and learning
  • Advance Agentic AI, multi-agent workflows, transformer-based recommendation, representation learning, and conversational AI or LLM systems
  • Assess architectures, modeling decisions, evaluation methods, and technical trade-offs
  • Move teams from experimental concepts to scalable production implementations
  • Oversee reusable, production-ready data science products and decisioning systems built from customer, behavioral, contextual, and operational data
  • Collaborate with Technology, platform, and governance teams on AI architecture, observability, controls, quality, and lifecycle management
  • Lead, mentor, and develop a high-performing data science organization
  • Expand capabilities in applied generative AI, AI engineering and architecture, advanced recommendation and decisioning, strategic problem solving, and commercial communication
  • Advise senior stakeholders and lead prioritization, investment, adoption, and delivery of major Decision Science programs
  • Monitor developments in AI and Decision Science and turn relevant approaches into practical, scalable capabilities and reusable practices
  • Define a long-term technical roadmap spanning Agentic AI, conversational AI, modern recommendation, experimentation, AI engineering, architecture, governance, and continuous optimization

Cerințe

  • Bachelor’s degree in a quantitative discipline such as engineering, computer science, mathematics, statistics, or economics
  • Outstanding analytical and conceptual problem-solving skills, including the ability to structure and resolve complex, ambiguous business problems using first-principles reasoning
  • Demonstrated experience leading and developing high-performing analytics or data science teams in complex, cross-functional organizations
  • Strong technical grounding in contemporary data science and artificial intelligence
  • Ability to shape solution design, question technical approaches, and link analytical decisions to business results
  • Ability to engage senior stakeholders through clear, structured communication and persuasive executive storytelling
  • Experience taking large-scale analytics, Decision Science, or AI programs from conception through production, adoption, and continued optimization
  • Strong commercial judgment and storytelling skills that connect technical strategy, architecture, and investment decisions to measurable value
  • Preferred: Master’s degree in a quantitative discipline
  • Preferred: Experience with Agentic AI, agentic workflows, transformer architectures, transformer-based recommendation, conversational AI, LLMs, advanced personalization, or next-best-action systems
  • Preferred: Knowledge of the full Decision Science and AI lifecycle, including experimentation, model and AI evaluation, decision orchestration, production deployment, monitoring, governance, and ongoing optimization
  • Preferred: Record of creating scalable data products, recommendation or decisioning systems, or AI capabilities with measurable results
  • Preferred: Experience converting traditional analytics into AI-powered, productized Decision Science capabilities and reusable enterprise solutions
  • Visa sponsorship may be available for some positions based on business unit requirements, role, cost, and applicable law

Beneficii

  • Competitive base salary
  • Bonus opportunities
  • 6% company retirement savings match
  • Complimentary financial coaching and financial well-being resources
  • Comprehensive medical, dental, vision, life insurance, and disability coverage
  • Flexible work arrangements, including hybrid, onsite, or virtual options depending on the role and business needs
  • More than 20 weeks of paid parental leave for all parents, regardless of gender, for pregnancy, adoption, or surrogacy
  • Complimentary access to onsite wellness centers with nurses and doctors, subject to location
  • Free confidential counseling through the Healthy Minds program
  • Career development and training programs
  • Equity where applicable
  • Visa sponsorship may be available for some positions based on business unit requirements, role, cost, and applicable law

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