Manager-Data Science

American Express•New York, NY

5d•$103,750 - $174,750

About The Position

You Lead the Way. We’ve Got Your Back. With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities, and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you—supported by benefits, programs, and flexibility that help you thrive personally and professionally. At American Express, you’ll be recognized for your contributions and impact. Every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team—upholding our values and the promise of powerful backing to deliver the world’s best customer experience every day. About the Team: The Analytics, Investments and Marketing Enablement (AIM) team within Global Commercial Services Marketing (GCSM) powers customer acquisition, engagement, and retention through data, advanced analytics, and AI. Within AIM, the Customer Experience Optimization (CXO) Personalization – GCS Digital Acquisitions team is focused on building scalable, intelligent personalization for SME customers across acquisition channels—including website and application experiences. This team sits at the intersection of AI/GenAI, advanced analytics, and digital product, with a mandate to build AI-native personalization capabilities. The team is responsible for shaping how we deliver relevant, context-aware experiences to SBS and Corporate prospects in real time, with a strong focus on building scalable systems and capabilities, not just analyzing outcomes. How will you make an impact in this role? In this role, you will focus on executing personalization strategies and developing analytical solutions that improve customer engagement and conversion. You will work closely with cross-functional partners to embed personalization into digital experiences and support the delivery of scalable, data-driven use cases.

Requirements

Exceptional analytical and problem-solving skills, with the ability to break down complex, ambiguous problems into structured solutions.
Demonstrated ability to solve open-ended problems with minimal structure, applying strong first-principles thinking and logical rigor.
Strong programming experience in Python, SQL, or similar languages.
2-3 years of hands-on experience with machine learning techniques (e.g., regression, clustering, tree-based models, or similar).
Experience working with large-scale data and building analytical solutions in a digital or product environment.
Demonstrated ability to work across cross-functional teams (product, engineering, marketing).
Strong communication skills with the ability to translate complex ideas into clear, actionable narratives.

Nice To Haves

Bachelor's degree in a quantitative field (e.g., Engineering, Computer Science, Mathematics, Statistics, Economics).
Experience in personalization, recommendation systems, or real-time decisioning.
Familiarity with digital ecosystems (e.g., web/app analytics, identity resolution, martech stacks, experimentation platforms).
Exposure to or hands-on experience with GenAI applications (e.g., LLMs, prompt engineering, AI-assisted workflows).
Experience building or contributing to end-to-end data products or decisioning systems.
Strong intuition for customer experience design and digital journeys.
Ability to operate in a fast-paced, build-oriented environment with a focus on impact and scalability.

Responsibilities

CXO Personalization & Digital Experience Design
Support the design and implementation of personalization strategies across acquisition touchpoints (website, landing pages, application flows).
Analyze behavioral and contextual data to inform targeted messaging, content, and offers.
Collaborate with product and engineering teams to integrate personalization into digital platforms.
AI / GenAI-Driven Decisioning
Apply machine learning and GenAI techniques to develop personalization use cases (e.g., segmentation, next-best-action).
Contribute to building and testing models that enable improved targeting and customer experience.
Scalable Data Science & Systems Thinking
Work with large datasets to generate insights and build analytical solutions.
Develop reusable code, models, and frameworks under guidance.
Support deployment and monitoring of models in production environments
Problem Solving & Insight Generation:
Tackle ambiguous, high-impact business problems with structured, hypothesis-driven thinking.
Synthesize data into clear, actionable insights that inform product and experience design.
Apply measurement as a supporting tool to validate and refine personalization strategies.

Benefits

Competitive base salaries
Bonus incentives
6%25 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