American Express · 1 day ago
Senior Manager - Data Science
American Express is a company with a long history of innovation and a commitment to supporting its customers and employees. The Senior Manager in Data Science will lead analytical efforts to enhance the corporate digital acquisition strategy, utilizing advanced analytics and AI to optimize customer engagement and conversion.
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Responsibilities
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
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
Qualification
Required
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
Experience in digital marketing analytics, personalization, website optimization, or acquisition strategy
Master's degree in quantitative field (e.g., Engineering, Mathematics, Finance, Computer Science, Statistics, Economics)
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
Benefits
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
Company
American Express
American Express is a financial services company that provides credit cards, charge cards, payment solutions, and related services.
H1B Sponsorship
American Express has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (137)
2024 (95)
2023 (95)
2022 (131)
2021 (111)
2020 (114)
Funding
Current Stage
Public CompanyTotal Funding
unknown1978-01-13IPO
Leadership Team
Recent News
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