Director of Data Science - American Express - New York Hybrid

Аралас Толық жұмыс күні Жетекші Қажетті Тіл: ағылшын тілі Деректер ғалымы

Нью-Йорк

144 250 $ – 256 250 $ / жыл

Сипаттама

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

Талаптар

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

Артықшылықтар

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

Ұқсас жұмыс орындары

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