
Posted 17 days ago
Senior Manager-Data Science
American ExpressSenior Manager-Data Science
Perks & benefits
Medical InsurancePaid Leave
Requirements
Python, SQL, Machine learning techniques, Analytical problem-solving, Cross-functional leadership
Skills
PythonSQLMachine LearningLLMGenAI
About the role
Responsibilities
- Define and lead personalization strategies across SME acquisition journeys to align with business goals.
- Lead the design and deployment of AI/ML and GenAI-driven decisioning systems, such as next-best-action and adaptive journeys.
- Architect scalable data science solutions and reusable frameworks leveraging large, complex datasets.
- Partner with engineering teams to productionize and scale models in real-time environments.
- Tackle ambiguous, high-impact business problems using structured, hypothesis-driven thinking.
- Serve as a key thought partner to marketing, product, and engineering leaders to influence roadmap prioritization.
- Mentor junior team members and elevate technical standards across the organization.
Requirements
- Exceptional analytical and problem-solving skills with the ability to break down complex problems into structured solutions.
- Strong programming experience in Python and SQL.
- 3-4 years of hands-on experience with machine learning techniques (e.g., regression, clustering, tree-based models).
- Experience working with large-scale data and building analytical solutions in a digital or product environment.
- Demonstrated ability to work effectively across cross-functional teams including product, engineering, and marketing.
- Strong communication skills with the ability to translate complex technical ideas into actionable narratives.
Preferred Qualifications
- Experience in personalization, recommendation systems, or real-time decisioning.
- Master’s degree in a quantitative field such as Computer Science, Mathematics, Statistics, or Economics.
- Familiarity with digital ecosystems, including web/app analytics, martech stacks, and experimentation platforms.
- Hands-on experience with GenAI applications, including LLMs and prompt engineering.
- Experience building end-to-end data products or decisioning systems.
Benefits
- Competitive base salaries and bonus incentives.
- 6% Company Match on retirement savings plans.
- Comprehensive medical, dental, vision, life insurance, and disability benefits.
- Flexible hybrid working model.
- 20+ weeks of paid parental leave.
- Career development and training opportunities.
About the Company
American Express is a global community dedicated to backing customers, communities, and colleagues. With a 175-year history of innovation, we focus on delivering the world's best customer experience through advanced analytics, AI, and a commitment to shared values.
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American Express · New York
