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American Express · 9 hours ago

Manager - Data Science

New York, NY

Full-time

Hybrid

Senior Level

$104K/yr - $175K/yr

5+ years exp

American Express is a company with a long history of innovation and commitment to its customers. The Manager role within the AIM team focuses on developing analytical solutions that enhance targeting and engagement across commercial channels, utilizing advanced machine learning and predictive modeling.

Credit CardsFinanceFinancial ServicesPaymentsTravel

Comp. & Benefits

No H1B

Responsibilities

Translate complex business questions into structured analytical frameworks, identifying the right mix of statistical techniques, machine learning, GenAI, and data-driven methodologies to deliver high-impact solutions

Design, build, and enhance advanced analytical models and data products—including predictive modeling, customer/prospect scoring, matching, prioritization, and enrichment capabilities—to strengthen targeting and acquisition strategies

Develop scalable AI/ML and analytical solutions (including, but not limited to, GenAI and NLP techniques) that drive improvements in prospect identification, routing, and engagement effectiveness across commercial channels

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 use cases, integrate analytical solutions into workflows, and enable effective adoption—without owning operational execution

Communicate analytical insights, model performance, and strategic implications to senior stakeholders, driving clarity, alignment, and data-informed decision-making while ensuring all solutions adhere to responsible AI, governance, and data integrity standards

Qualification

Data ScienceMachine LearningPythonSQLGenAI/NLPAnalytical Problem-SolvingExecutive CommunicationCross-Functional AlignmentResponsible AIInterpersonal Skills

Required

Bachelor's degree in 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

Strong programming skills in Python and SQL, with hands-on experience developing machine-learning and GenAI/NLP models end-to-end

Experience working with large-scale or distributed data environments, with the ability to build scalable analytical workflows

Strong analytical and conceptual problem-solving capability, with a demonstrated ability to translate business needs into structured analytical plans and GenAI/ML solution approaches

Excellent executive communication and interpersonal skills, with the ability to build strong working relationships and deliver clear, compelling insights to senior leaders across levels

Proven ability to operate as a senior individual contributor, driving solution design, analytical execution, and cross-functional alignment independently within a matrixed environment