\\\\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 Acquisition Analytics for Corporate products, shaping how American Express uses data, advanced analytics, and emerging AI to transform our digital experience. \\\\How will you make an impact in this role?\\\\ As a Senior Manager, you will lead analytical work that fuels the next generation of AMEXs Corporate customer acquisition engine across Sales & Marketing. You will design and implement data-driven strategies, build scalable analytical solutions, and collaborate across business, digital, and technology teams to optimize targeting, personalization, and customer conversion. This role is ideal for someone who is passionate about targeting analytics, enthusiastic about emerging AI and GenAI capabilities, and eager to help shape how AMEX engages Commercial Corporate customers in a dynamic and competitive landscape. \\\\Key Responsibilities\\\\ \\+ Develop analytical solutions and data products that improve targeting accuracy, personalization, and acquisition performance across Sales & Marketing channels. \\+ Own end-to-end analyses focused on audience segmentation, experimentation, funnel optimization, and identification of conversion opportunities. \\+ Build and enhance models and decisioning strategies, leveraging AMEXs vast first-party data and evolving digital intelligence capabilities. \\+ Apply emerging AI and GenAI techniques, such as intelligent customer journey optimization, semantic modeling and automated insights to enhance targeting precision and analytical productivity. \\+ Drive experimentation, performance measurement and Investment optimization - designing test structures, evaluating results, and making actionable recommendations to improve conversion and efficiency. \\+ Collaborate closely with cross-functional partners across American Express to ensure implementation of analytical solutions and ensure business impact. \\+ Synthesize insights and clearly communicate findings and strategy implications to leaders and stakeholders across the organization. \\+ Champion innovation and continuous improvement, bringing forward new ideas in digital analytics, advanced modeling techniques, Gen AI use-cases and scalable data automation that future-proof AMEXs digital acquisition engine. \\\\Minimum Qualifications\\\\ \\+ Masters Degree in a quantitative field (e.g., Engineering, Mathematics, Finance, Computer Science, Statistics, Economics). \\+ Strong analytical and problem-solving skills with experience working through complex, ambiguous business questions. \\+ Experience with building ML models like XGBoost, K-Means, etc with proficiency in analytical tools such as SQL, Python, or similar; knowledge of digital analytics or experimentation frameworks is a plus. \\+ Ability to translate data into insights and clearly communicate recommendations to business partners. \\+ Experience collaborating within cross-functional teams and influencing decisions through data-driven insights. \\+ Demonstrated ability to manage multiple priorities in a fast-paced, dynamic environment. \\\\Preferred Qualifications\\\\ \\+ Experience in digital marketing analytics, personalization, website optimization, or acquisition strategy. \\+ Familiarity with digital ecosystem tools such as clickstream analytics platforms, identity frameworks, or real-time recommender systems. \\+ Familiarity and interest in applying emerging AI and Gen AI capabilities to improve targeting outcomes. \\+ Experience designing and analyzing A/B tests, optimizing digital funnels, or improving performance through data-driven experimentation. \\+ Strong communication skills with the ability to influence partners and drive action \\\\Qualifications\\\\ Salary Range: $123,000.00 to $215,250.00 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:\\\\ 26005265

A Masters Degree in a quantitative field such as Engineering, Mathematics, Finance, Computer Science, Statistics, or Economics is required. The role necessitates strong analytical and problem-solving skills with experience in addressing complex business questions. Proficiency in building ML models like XGBoost and K-Means is expected, along with expertise in analytical tools such as SQL or Python. Experience in digital analytics or experimentation frameworks is considered a plus. The ability to translate data into actionable insights and communicate recommendations to business partners is essential. Collaboration within cross-functional teams and influencing decisions through data-driven insights are also key requirements.