American Express
American Express
American Express — банк ісі, қаржы және B2B төлемдері салаларында жұмыс істейтін жаһандық қаржылық қызметтер компаниясы. Компанияның қызметтері жеке тұлғаларға, бизнеске және корпоративтік клиенттерге арналған кредит карталарын, төлем және саудагерлерге қызмет көрсету сервистерін, жинақ шоттарын, депозиттік сертификаттарды және жеке қарыздарды, сондай-ақ сыйақы бағдарламаларын, саяхат бағдарламаларын, корпоративтік төлем шешімдерін, қаржылық білім беруді, қауіпсіздік қызметтерін және карта ұстаушылар мен саудагерлерге қолдау көрсетуді қамтиды.

Director of Data Science, Global Servicing — American Express (Hybrid, India)

Lead American Express Global Servicing’s AI-powered Decision Science strategy. Build production-ready recommendation, GenAI, and decisioning capabilities while developing high-performing data science teams.

Сипаттама

  • Set and lead the Global Servicing Decision Science roadmap
  • Find and rank high-value opportunities across servicing, membership value and engagement, colleague productivity, and operational excellence
  • Convert business strategy into Decision Science priorities, success metrics, and investment decisions
  • Provide technical direction across AI/ML, GenAI, prediction, recommendation, optimization, experimentation, and learning
  • Advance Agentic AI, multi-agent workflows, transformer-based recommenders, representation learning, and Conversational AI/LLM systems
  • Assess architectures, modeling approaches, evaluation frameworks, and technical trade-offs
  • Lead teams from early experimentation to scalable production deployment
  • Oversee reusable, production-ready data science products and decisioning systems built on customer, behavioral, contextual, and operational data
  • Collaborate with Technology, platform, and governance partners on architecture, observability, controls, model and AI quality, and lifecycle practices
  • Hire, mentor, and develop a high-performing data science organization
  • Strengthen organizational capabilities in Applied GenAI, AI engineering and architecture, recommendation and decisioning, strategic problem solving, and commercial storytelling
  • Engage senior stakeholders to guide prioritization, investment, adoption, and execution
  • Monitor advances in AI and Decision Science and convert relevant techniques into scalable capabilities and reusable practices
  • Define the technical roadmap for Agentic AI, Conversational AI, recommendation, experimentation, AI engineering, architecture, governance, and continuous optimization

Талаптар

  • Bachelor’s degree in a quantitative discipline such as engineering, computer science, mathematics, statistics, or economics
  • Exceptional analytical and conceptual problem-solving skills, including first-principles approaches to complex and ambiguous business challenges
  • 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 influence senior stakeholders through clear, structured communication and persuasive executive storytelling
  • Experience taking large-scale analytics, Decision Science, or AI initiatives from concept through production, adoption, and ongoing improvement
  • Strong commercial judgment and storytelling skills, connecting technical strategy, architecture, and investment decisions to measurable business value
  • Master’s degree in a quantitative discipline preferred
  • Technical familiarity with Agentic AI and agentic workflows, transformer architectures and recommendation systems, Conversational AI, LLMs, and advanced personalization or next-best-action solutions preferred
  • Strong understanding of the complete Decision Science and AI lifecycle, including experimentation, model and AI evaluation, decision logic and orchestration, productionization, monitoring, governance, and continuous optimization preferred
  • Record of delivering scalable data products, recommendation or decisioning systems, or AI-enabled capabilities with measurable results preferred
  • Experience moving organizations from traditional analytics to AI-powered, productized Decision Science capabilities and reusable enterprise solutions preferred

Артықшылықтар

  • Competitive base compensation
  • Bonus opportunities
  • Support for financial wellness and retirement planning
  • Comprehensive medical, dental, vision, life insurance, and disability coverage, subject to location
  • Flexible hybrid, onsite, or virtual work arrangements based on the role and business needs
  • Generous paid parental leave, subject to location
  • Complimentary access to global onsite wellness centers staffed by nurses and doctors, subject to location
  • Confidential counseling through the Healthy Minds program
  • Career development and training opportunities

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