American Express Travel Related Services Company, Inc. is hiring a Data Science Manager (Band 35) to join the Prospect cross-functional team within AIM (Analytics, Investment & Marketing Enablement). In this role, you will develop analytical solutions that enhance targeting, acquisition, engagement, and prospecting effectiveness across commercial channels. You'll work across a diverse analytical toolkit, including advanced machine learning, predictive modeling, optimization, and Generative AI, to build solutions that improve decisioning and drive measurable business impact.
What You'll Do
- Translate complex business questions into structured analytical and decision-intelligence frameworks, identifying the right mix of statistical techniques, machine learning, and Generative AI approaches to deliver high-impact solutions.
- Design, build, and enhance advanced analytical models and GenAI-enabled data products—including predictive modeling, customer/prospect scoring, matching, prioritization, and enrichment capabilities—to strengthen targeting and acquisition strategies.
- Develop scalable AI/ML and Generative AI solutions that drive improvements in prospect identification, routing, personalization, and engagement effectiveness across commercial channels with a focus on production deployment, standardization, cost efficiency, and reuse.
- Design and operationalize a variety of Generative AI architectures, including Retrieval-Augmented Generation (RAG), embedding and vector-search pipelines, fine-tuning and custom model adaptation approaches, prompt-only and hybrid pipelines, tool or agent-integrated systems, and knowledge-augmented LLM solutions.
- Apply strong quantitative judgment and technical rigor to evaluate data quality, refine features, enhance models, and ensure analytical methods and pipelines are robust, efficient, and aligned with best practices.
- Influence and align cross-functional partners by collaborating with product, engineering, and business stakeholders to define Gen AI and analytical use cases, integrate analytical solutions into workflows, and enable effective adoption.
- Establish and own experimentation, evaluation, and continuous-improvement frameworks for analytical and GenAI solutions, incorporating offline testing, controlled experimentation, human-in-the-loop feedback, performance drift monitoring, and iterative refinement.
- Own the performance narrative of analytical and GenAI solutions by defining success metrics, monitoring outcomes, interpreting model behavior, and clearly communicating trade-offs, limitations, and impact to senior stakeholders, including VP-level leaders.
- Ensure all analytical and Gen AI solutions are designed and deployed in accordance with Responsible AI principles, including model governance, explainability, bias assessment, data integrity, and regulatory compliance expectations.
What We're Looking For
- Bachelor's degree in a quantitative discipline such as Engineering, Mathematics, Computer Science, Physics, Finance, or Economics.
- 5+ years of experience in data science, advanced analytics, machine learning, decision science, or related quantitative roles.
Technical Stack
- Machine learning
- Predictive modeling
- Generative AI
- LLMs
- RAG pipelines
- Embeddings/vector search
- Prompt automation
- Fine-tuning
- NLP
Team & Environment
You'll be part of the AIM (Analytics, Investment & Marketing Enablement) team within GCS Marketing.
Benefits & Compensation
- Our culture is built on a 175-year history of innovation, shared values, and Leadership Behaviors.
- We operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.
- We provide comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.
American Express is an equal opportunity employer.
