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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, 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.

INIndiaHibridNormă întreagăLiderLimbă Obligatorie: englezăSpecialist în știința datelor

Descriere

  • 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

Cerințe

  • 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

Beneficii

  • 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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