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Tier-1 brand plus a mid-level generalist ML/data role increases applicant competition.
ML and analytics skills transferable, but commercial card domain knowledge raises industry sensitivity.
Requires specific GenAI, ML, SQL and Python skills, so filtering is moderately strict.
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Drive strategic analysis and initiatives across channels and products focused on US market customer acquisitions.
Develop analytics solutions shaping customer acquisitions and organic growth roadmaps for Global Commercial Card business.
Collaborate and influence cross-functional teams across Global Commercial Service at American Express in a matrix environment.
Minimum 2 years experience with a Bachelor's degree in quantitative field (Statistics, Engineering, Physics, Mathematics, Economics).
Strong programming skills in SQL and Python, with Machine Learning and Data Science experience.
Understanding of Generative AI concepts including prompt engineering, Retrieval-Augmented Generation (RAG), embeddings/vector search, agentic AI workflows.
Ability to work independently in a matrix organization and manage multiple concurrent projects.
Experienced in Commercial Card domain analytics and strategic growth initiatives.
Capable of leveraging advanced Generative AI and data science techniques to inform business decisions.
Operates effectively in cross-functional, multi-geography teams with technical and business stakeholders.