Director – Data Science

American Express

. Define and lead the Decision Science roadmap across Global Servicing .

Posted 10/8/2026full-timeNew York City • New York • United StatesLead💰 $144,250 - $256,250 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Decision Science, AI, and data science, with a strong focus on leading high-performing teams and driving large-scale analytics initiatives. Capable of translating complex business strategies into actionable AI solutions and measurable outcomes.

Highest-signal resume keywords

Decision Science Roadmap DevelopmentAI/ML Technical LeadershipData Science Team ManagementCommercial StorytellingLarge-Scale Analytics Implementation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceAI/MLAgentic AITransformer ArchitecturesRecommendation SystemsStatistical AnalysisOptimization TechniquesExperimentationModel EvaluationProductionization

Soft Skills

Analytical Problem-SolvingInfluential CommunicationExecutive StorytellingCross-Functional CollaborationStrategic Problem Solving

Tools & Technologies

AI EngineeringGovernance FrameworksObservability ToolsData Science PlatformsDecisioning Systems

Industry Keywords

Quantitative AnalysisBusiness StrategyOperational ExcellenceCustomer EngagementBehavioral Data

About the role

Key responsibilities & impact

Define and lead the Decision Science roadmap across Global Servicing
Identify and prioritize high-impact opportunities across servicing experiences, membership value and engagement, colleague efficiency, and operational excellence
Translate business strategy into Decision Science priorities, success measures, and investment choices
Provide technical leadership across AI/ML, GenAI, prediction, recommendation, optimization, experimentation, and learning
Drive the evolution toward Agentic AI, multi-agent workflows, transformer-based recommenders, representation learning, and Conversational AI/LLM-based systems
Challenge architectures, modeling choices, evaluation frameworks, and trade-offs
Guide teams from experimentation through scalable production deployment
Oversee development of reusable, production-ready data science products and decisioning systems using customer, behavioral, contextual, and operational data
Partner with Technology, platform, and governance teams to deploy and evolve AI solutions with appropriate architecture, observability, controls, model/AI quality, and lifecycle discipline
Lead, mentor, and grow a high-performing data science team
Build organizational capability across Applied GenAI, AI engineering and architecture, advanced recommendation and decisioning methods, strategic problem solving, and commercial storytelling
Influence senior stakeholders and drive prioritization, investment decisions, adoption, and execution of major Decision Science initiatives
Evaluate advances in AI and Decision Science and translate relevant methods into practical, scalable capabilities and reusable best practices
Shape a forward-looking technical roadmap covering Agentic AI, Conversational AI, modern recommendation systems, experimentation, AI engineering, architecture, governance, and continuous optimization

Requirements

What you’ll need

Bachelor's degree in a quantitative field such as Engineering, Computer Science, Mathematics, Statistics, or Economics
Exceptional analytical and conceptual problem-solving ability, including structuring and solving complex, ambiguous business challenges using first-principles thinking
Proven leadership experience managing and developing high-performing analytics or data science teams in a complex, cross-functional environment
Strong technical foundation in modern data science and AI
Ability to guide solution design, challenge technical approaches, and connect analytical choices to business outcomes
Ability to influence senior stakeholders through clear, structured, compelling communication and executive storytelling
Experience driving large-scale analytics, Decision Science, or AI initiatives from concept through production, adoption, and ongoing optimization
Strong commercial acumen and storytelling, connecting technical strategy, architecture, and investment choices to measurable business value
Preferred: Master's degree in a quantitative field
Preferred: Experience with Agentic AI, agentic workflows, transformer architectures, transformer-based recommendation systems, Conversational AI, LLMs, advanced personalization, or next-best-action systems
Preferred: Understanding of the end-to-end Decision Science and AI lifecycle, including experimentation, model/AI evaluation, decision logic and orchestration, productionization, monitoring, governance, and continuous optimization
Preferred: Track record of building scalable data products, recommendation/decisioning systems, or AI-driven capabilities with measurable outcomes
Preferred: Experience transforming traditional analytics into AI-powered, productized Decision Science capabilities and reusable enterprise solutions
Visa sponsorship may be provided for certain positions depending on business unit requirements, position, cost, and applicable laws

Benefits

Comp & perks

Competitive base salaries
Bonus incentives
6% Company Match on retirement savings plan
Free financial coaching and financial well-being support
Comprehensive medical, dental, vision, life insurance, and disability benefits
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
Free and confidential counseling support through our Healthy Minds program
Career development and training opportunities
Equity, if applicable
Visa sponsorship may be provided for certain positions depending on business unit requirements, position, cost, and applicable laws