Senior Manager - Data Science

American Express•New York, NY

17h•Hybrid

About The Position

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. Senior Manager, Data Science – AIM (Analytics, Investment & Marketing Enablement) At American Express, our Global Commercial Services (GCS) business powers millions of businesses worldwide. Within GCS Marketing, the AIM (Analytics, Investment & Marketing Enablement) team serves as the analytical engine driving profitable growth, smarter investments, and differentiated customer value. We are a high-impact, fast-moving team that blends advanced data science, deep business context, and innovation to influence strategy at scale. If you’re excited about solving complex problems, building production-grade models, and shaping how we engage customers—this is your opportunity to make a measurable difference. What You’ll Do As a Senior Manager, Data Science, you will lead the development of next-generation decision science solutions that power Expense Management growth and customer engagement strategies. You will: Why This Role Matters Your work will directly impact customer growth, profitability, and targeting strategy across a global portfolio You’ll operate at the intersection of data science, marketing, and commercial strategy You’ll help define how American Express leverages AI/ML for competitive advantage

Requirements

Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Engineering, Economics) or equivalent practical experience
3+ years of experience in data science, decision science, or advanced analytics, ideally in financial services or a related industry
Proven ability to apply modern machine learning techniques to solve real-world business problems
Strong problem-solving skills with the ability to translate ambiguous business questions into analytical frameworks
Hands-on experience with Python, PySpark, and SQL
Solid understanding of data mining, feature engineering, and model evaluation techniques

Nice To Haves

Master’s or PhD in a quantitative field
Experience building and deploying models in production environments
Familiarity with marketing analytics, customer targeting, or credit/risk modeling
Strong storytelling skills with the ability to influence non-technical stakeholders
You think like an owner and care about business impact—not just model accuracy
You’re curious, experimental, and constantly exploring new techniques and approaches
You thrive in a collaborative environment and enjoy turning data into strategy

Responsibilities

Design and deploy advanced machine learning models to optimize customer targeting, eligibility, and propensity segmentation
Drive end-to-end data science solutions—from problem framing and feature engineering to model deployment and performance monitoring
Enhance commercial data ecosystems, identifying new data signals and features that unlock incremental business value
Partner closely with marketing, product, and strategy teams to translate business needs into scalable analytical solutions
Influence acquisition and engagement strategies through data-driven insights and experimentation
Champion model governance and responsible AI practices, ensuring models meet enterprise risk and compliance standards
Communicate complex findings clearly to senior stakeholders, shaping decision-making with actionable insights

Benefits

Competitive base salaries
Bonus incentives
6%25 Company Match on retirement savings plan
Free financial coaching and financial well-being support
Comprehensive medical, dental, vision, life insurance, and disability benefits
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
Free and confidential counseling support through our Healthy Minds program
Career development and training opportunities