Manager - Data Science

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 powerful digital experiences. This Manager role sits within Corporate Digital Acquisition Analytics , supporting the strategy, development, and optimization of personalized digital experiences for Commercial corporate prospects across Digital channels using data, advanced analytics, and emerging AI. As a Manager, you will lead analytical work that fuels the next generation of AMEX’s Corporate digital acquisition engine. 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 prospect conversion. This role is ideal for someone who is passionate about digital marketing analytics, enthusiastic about emerging AI and GenAI capabilities, and eager to help shape how AMEX engages Commercial Corporate prospects in a dynamic and competitive digital landscape. 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 AMEX’s digital acquisition engine. Develop analytical solutions and data products that improve targeting accuracy, personalization, and digital acquisition performance across the AMEX website. Own end-to-end analyses focused on audience segmentation, experimentation, funnel optimization, and identification of acquisition opportunities. Build and enhance models and decisioning strategies, leveraging AMEX’s 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. Minimum Qualifications 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 digital 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. Master’s Degree in a quantitative field (e.g., Engineering, Mathematics, Finance, Computer Science, Statistics, Economics). 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.