Manager-Data Science

About the role

The AIM (Analytics, Investment & Marketing Enablement) team – part of GCS Marketing – is the analytical engine that powers the Global Commercial Services portfolio of American Express. You will lead analytical initiatives that accelerate growth, increase profitability, and strengthen the value proposition by combining advanced analytics, machine learning, and emerging Generative AI to solve complex business problems, improve customer targeting, personalize engagement, and drive measurable acquisition outcomes.

As a hands-on leader, you will own analytical solutions from problem definition through deployment, partnering with Marketing, Sales, Product, Digital, and Technology teams to build scalable, production-ready data products that influence strategic decisions.

Responsibilities

• Translate complex business problems into structured analytical frameworks and develop data-driven solutions that improve targeting, prospect identification, personalization, and acquisition performance.
• Design, build, and deploy predictive models, machine learning solutions, customer scoring frameworks, prioritization models, and AI-powered analytical products that deliver measurable business impact.
• Develop scalable analytical pipelines using Python, SQL, and modern AI/ML techniques with a focus on production readiness, automation, and reusability.
• Apply Generative AI techniques—including Large Language Models (LLMs), Retrieval Augmented Generation (RAG), embeddings, prompt engineering, and NLP—to enhance customer acquisition, lead qualification, personalization, and decision intelligence.
• Evaluate and select analytical and GenAI approaches by balancing model accuracy, explainability, scalability, latency, cost efficiency, and business value.
• Partner with Marketing, Sales, Product, Engineering, and Technology teams to define use cases, integrate solutions into workflows, and accelerate adoption.
• Lead experimentation and optimization by designing A/B tests, measuring impact, monitoring model performance, and refining solutions.
• Ensure analytical models and AI solutions adhere to Responsible AI principles, including governance, explainability, bias assessment, data quality, monitoring, and compliance.
• Present analytical findings, recommendations, and AI strategies to senior leadership with clear storytelling and actionable insights.
• Stay current with emerging AI, machine learning, and Generative AI technologies to identify opportunities for improving customer acquisition.

Requirements

• Bachelor’s degree in Engineering, Computer Science, Statistics, Mathematics, Economics, Finance, or another quantitative discipline.
• 2+ years of experience in Data Science, Advanced Analytics, Machine Learning, Decision Science, or Customer Analytics.
• Strong hands-on experience with Python and SQL, building end-to-end analytical solutions on large-scale datasets.
• Experience developing predictive models, machine learning solutions, and customer targeting or decisioning frameworks that drive measurable outcomes.
• Working knowledge of Generative AI concepts and applications, including LLMs, prompt engineering, RAG, or NLP techniques.
• Proven ability to translate complex business problems into scalable analytical solutions and influence decisions through data-driven insights.
• Experience collaborating with cross-functional teams in a fast-paced environment.
• Excellent communication, stakeholder management, and executive presentation skills.

Preferred Qualifications

• Experience developing production-grade AI/ML or Generative AI applications.
• Experience with experimentation frameworks, A/B testing, causal measurement, and model performance monitoring.
• Familiarity with Responsible AI, model governance, explainability, fairness, and risk management.
• Experience collaborating with Product, Engineering, and Marketing teams to operationalize analytical solutions.

Benefits

• Competitive base salaries and bonus incentives.
• 6% Company Match on retirement savings plan.
• Free financial coaching and well-being support.
• Comprehensive medical, dental, vision, life insurance, and disability benefits.
• Flexible working model with hybrid, onsite, or virtual arrangements depending on role.
• 20+ weeks paid parental leave for all parents, regardless of gender.
• Free access to global on-site wellness centers (depending on location).
• Free and confidential counseling support through the Healthy Minds program.
• Career development and training opportunities.

American Express may provide visa sponsorship for certain positions, depending on business requirements and applicable laws.

About Us

At American Express, our culture is built on a 175-year history of innovation, shared values, and a commitment to back our customers, communities, and colleagues. We operate with a strong risk mindset to uphold our brand promise of trust, security, and service. As part of Team Amex, you’ll experience comprehensive support for your well-being and opportunities to learn, develop, and grow your career.