\\\\Description\\\\ 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. \\\\Key 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. \\\\Minimum Qualifications\\\\ \\+ MBA or Masters 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. \\\\Preferred Qualifications\\\\ \\+ 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. \\\\Qualifications\\\\ Salary Range: $103,750.00 to $174,750.00 annually bonus benefits The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, well consider your location, experience, and other job-related factors. We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: \\+ Competitive base salaries \\+ Bonus incentives \\+ 6% 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 For a full list of Team Amex benefits, visit our Colleague Benefits Site . American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions. We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually. US Job Seekers - Click to view the Know Your Rights poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions. \\\\Job:\\\\ Data Mgmt and Analytics \\\\Primary Location:\\\\ US-New York-New York \\\\Schedule\\\\ Full-time \\\\Req ID:\\\\ 26005264

A Master's degree in a quantitative field such as Engineering, Mathematics, Statistics, Computer Science, or Economics is required. The role necessitates strong analytical and problem-solving skills with experience in addressing complex business issues. Proficiency in machine learning models like regression, kNN, clustering, and tree-based models is essential, along with expertise in analytical tools such as SQL, Python, or PySpark. Experience with GenAI and LLM-based applications, including prompt engineering, RAG frameworks, and vector databases, is also a requirement. The ability to translate data into actionable insights and communicate recommendations to business partners is crucial. Collaboration within cross-functional teams and the management of multiple priorities in a fast-paced environment are also key qualifications.