Mgr-Data Science
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. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service. 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. About the Team The Analytics, Investments and Marketing Enablement (AIM) team - within Global Commercial Services Marketing (GCSM) - is the analytics engine powering Commercial customer acquisition, engagement, and retention. AIM develops insights, data products, and analytical solutions that shape smarter marketing and customer experiences. This role sits within AIM and supports customer lifecycle marketing across acquisition, targeting, personalization, and retention using data, advanced analytics, and emerging AI/GenAI capabilities. How will you make an impact in this role? As a Manager, you will support the development of data-driven strategies and analytical solutions that enhance customer targeting, personalization, and retention across channels. You will work closely with cross-functional partners to deliver insights, improve decisioning, and drive measurable business outcomes. This role is ideal for someone with a strong foundation in analytics and a growing interest in applying AI/GenAI to marketing and customer engagement.
Requirements
- MBA or Master’s degree in a quantitative field (e.g., Engineering, Mathematics, Statistics, Computer Science, Economics).
- Strong analytical and problem-solving skills with experience working through complex, ambiguous business problems.
- Experience with machine learning models (e.g., regression, kNN, clustering, tree-based models) and proficiency in analytical tools such as SQL, Python, or PySpark.
- Experience with GenAI and LLM-based applications, including prompt engineering, RAG frameworks, vector databases, or similar technologies.
- Ability to translate data into insights and clearly communicate recommendations to business partners.
- Experience collaborating within cross-functional teams and contributing to data-driven decision making.
- Demonstrated ability to manage multiple priorities in a fast-paced, dynamic environment.
Nice To Haves
- Experience in marketing analytics, customer lifecycle management, or personalization.
- Familiarity with experimentation frameworks or digital analytics tools.
- Interest in applying AI/GenAI to improve marketing effectiveness and customer engagement.
- Strong communication and stakeholder management skills.
Responsibilities
- Develop and deliver analytical solutions to improve customer targeting, personalization, acquisition, and retention.
- Conduct analyses on customer segmentation, experimentation, and funnel performance to identify growth opportunities.
- Build and enhance predictive and machine learning models using first-party data and customer signals.
- Apply AI/GenAI techniques to improve targeting, automate insights, and support decisioning.
- Support test-and-learn initiatives by designing experiments, measuring performance, and providing recommendations.
- Collaborate with cross-functional teams to implement analytical solutions and drive business impact.
- Contribute to building scalable and automated analytical workflows across channels.
- Communicate insights and recommendations clearly to stakeholders.
- Support innovation by identifying opportunities to apply advanced analytics and emerging AI capabilities.
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
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What This Job Offers
Job Type
Full-time
Career Level
Manager
