Manager- Data Science

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 powerful digital experiences.
This Senior 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.

How will you make an impact in this role?
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.

Key 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.

Minimum Qualifications

· Master’s Degree in a quantitative field (e.g., Engineering, Mathematics, Finance, Computer Science, Statistics, Economics).

· 4+ years of relevant professional work experience.

· 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…