Posted: Mar 1, 2026

Experienced Manager of Data Science and Analytics for American Express - Leading the Development of AI and Machine Learning Solutions for Enhanced Customer Experiences

Introduction to American Express and the Role American Express is a global leader in the financial services industry, renowned for its commitment to delivering exceptional customer experiences. As a company that continuously evolves to meet the changing needs of its clients, American Express is seeking an experienced and innovative Manager of Data Science and Analytics to join its team. This role is pivotal in driving the development of cutting-edge AI and machine learning solutions that enhance customer interactions and propel business growth. About the Company Culture and Industry American Express operates in a fast-paced, dynamic environment where innovation and customer-centricity are at the forefront. The company's culture is built on a foundation of excellence, teamwork, and continuous learning, providing employees with the opportunity to grow professionally and personally. As a leader in the financial services sector, American Express is dedicated to fostering a culture of inclusion, diversity, and community engagement, making it an exciting and rewarding place to work. Key Responsibilities The successful candidate will be responsible for leading the development and implementation of data-driven solutions that inform business decisions and drive customer engagement. Key responsibilities include: Collaborating with cross-functional teams to design and deploy predictive models and algorithms that enhance customer experiences and business outcomes Working with large datasets to identify trends, patterns, and insights that inform product development and marketing strategies Developing and maintaining complex data models and simulations to predict customer behavior and preferences Partnering with product owners to integrate data-driven insights into product design and development Collaborating with technical teams to test, implement, and deploy modeling solutions into production environments Staying up-to-date with industry trends and emerging technologies in data science and machine learning, applying this knowledge to drive innovation and improvement Essential Qualifications To be considered for this role, candidates must possess: A Bachelor's degree in a quantitative field (Computer Science, Statistics, Mathematics, Physics, Operations Research, etc.) Advanced degree (Master's or Ph.D.) in a quantitative field, with practical experience in data science and machine learning Proficiency in a programming language (Python, R, or equivalent), with experience working with databases (Hive, SQL, or equivalent) Deep understanding of machine learning and statistical algorithms, including deep learning and neural networks Proven ability to approach complex business problems with a data-driven mindset, leveraging external tools and techniques to design and deliver solutions Excellent communication and interpersonal skills, with the ability to work effectively in a team environment Preferred Qualifications While not essential, the following qualifications are highly desirable: Ph.D. degree in a quantitative field, with practical experience in NLP Experience working with SAS, or other data analysis software Knowledge of data visualization tools and techniques Experience working in a fast-paced, dynamic environment, with the ability to adapt quickly to changing priorities and deadlines Strong project management skills, with the ability to coordinate and lead cross-functional teams Career Growth Opportunities and Learning Benefits American Express is committed to the growth and development of its employees, providing opportunities for continuous learning and professional development. As a Manager of Data Science and Analytics , you will have access to: Industry-leading training and development programs, designed to enhance your skills and knowledge in data science and machine learning Opportunities to work on complex, high-impact projects, with the potential to drive business growth and innovation A collaborative and dynamic work environment, with a team of experienced professionals who are passionate about data science and analytics Flexible working arrangements, including remote work options, to support your work-life balance and productivity Work Environment and Company Culture American Express is dedicated to creating a work environment that is inclusive, diverse, and supportive of all employees. As a company, we value: Teamwork and collaboration, recognizing that our collective efforts drive business success Continuous learning and development, providing opportunities for growth and professional development Diversity and inclusion, fostering a culture that values and respects the contributions of all employees Community engagement, recognizing the importance of giving back to the communities in which we operate Compensation, Perks, and Benefits American Express offers a competitive compensation package, including: A salary range of $20-30 per hour, depending on experience and qualifications Comprehensive benefits package, including health, dental, and vision insurance, as well as retirement savings plans Flexible working arrangements, including remote work options, to support your work-life balance and productivity Opportunities for professional development and growth, with access to industry-leading training and development programs Conclusion If you are a motivated and experienced data science professional, looking for a challenging and rewarding role with a global leader in the financial services industry, we encourage you to apply for this exciting opportunity. As a Manager of Data Science and Analytics at American Express, you will have the chance to drive business growth and innovation, while working in a dynamic and supportive environment. Don't miss this opportunity to join our team and take your career to the next level. Apply now to become a part of the American Express team and start your journey towards a rewarding and challenging career in data science and analytics. Apply for this job

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