Senior Manager-Data Science (New York, NY)

Senior Manager-Data Science (New York, NY)

New York, NY, United States(Hybrid)

Job Description

About the Team:

The Global Servicing Decision Science (GSDS) team is the Decision Science engine for Global Servicing, bringing together advanced analytics, data science, AI/GenAI, and decisioning to transform servicing experiences, empower colleagues, and enable intelligent operations. GSDS serves as a centralized Decision Science Center of Excellence, partnering across Product/Capabilities, Control Management, Strategy, Operations, Technology, and enterprise analytics and data science teams.

GSDS builds and scales servicing intelligence across Global Servicing—from predictive and proactive servicing, personalization, next-best-action and journey orchestration to conversational AI, agent assist, AI-powered coaching, conduct and quality monitoring, and complaint and dispute intelligence. Our mandate is to build durable, production-ready capabilities that continuously improve decisions through prediction, recommendation, optimization, experimentation, and learning.

How will you make an impact in this role?

As a Senior Manager, you will lead end-to-end Decision Science work that helps build the next generation of servicing intelligence at American Express. You will translate complex customer, colleague, and operational challenges into analytical strategies, models, experiments, and scalable AI-driven solutions, partnering across business and Technology teams to move capabilities from concept through implementation and optimization.

This role combines hands-on technical leadership with strong business problem solving. You will help advance modern capabilities—including Agentic AI, transformer-based recommendation systems, and Conversational AI—while guiding project teams, influencing partners, and ensuring solutions deliver measurable customer and business outcomes.

Responsibilities

Decision Science & Business Problem Solving:

• Own complex Decision Science problems end to end—from problem framing and opportunity sizing through solution design, experimentation, measurement, and ongoing optimization.

• Develop analytical strategies and decisioning solutions across servicing experiences, personalization and membership value, colleague enablement, and operational excellence.

AI / GenAI & Advanced Modeling:

• Design and guide development of AI/ML and GenAI solutions spanning prediction, recommendation, optimization, experimentation, and intelligent orchestration.

• Apply and evaluate modern AI approaches—including Agentic AI and agentic workflows, transformer-based recommenders and representation learning, Conversational AI/LLM systems, and advanced personalization or next-best-action methods—to servicing use cases.

• Provide hands-on technical direction on modeling choices, evaluation frameworks, data requirements, and solution trade-offs, ensuring analytical rigor and practical scalability.

Scalable Solutions & Execution:

• Build and evolve reusable data science products and decisioning capabilities, partnering with Technology and platform teams to move solutions into production and measure their impact.

• Establish robust experimentation, monitoring, and continuous-learning approaches that improve model/AI quality and business outcomes over time.

Leadership & Cross-Functional Influence:

• Lead project teams and mentor data science colleagues, raising the bar on technical quality, first-principles problem solving, ownership, and commercial judgment.

• Synthesize complex analysis into clear recommendations and compelling narratives; influence partners and senior stakeholders on priorities, solution choices, and execution.

Qualifications

Minimum Qualifications:

• Strong analytical and conceptual problem-solving skills, with experience structuring and solving complex, ambiguous business problems.

• Strong hands-on foundation in data science and machine learning, with proficiency in Python, SQL, or similar tools and experience building and evaluating predictive or decisioning models.

• Experience applying modern AI/GenAI techniques and the technical depth to guide solution design, experimentation, and model/AI evaluation.

• Demonstrated experience leading complex analytical projects and collaborating across cross-functional teams to drive solutions from concept toward production and measurable impact.

• Strong written and verbal communication skills, with the ability to translate technical work into clear business recommendations and influence stakeholders.

Preferred Qualifications:

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

• Experience with Agentic AI/agentic workflows, transformer architectures or transformer-based recommendation systems, Conversational AI, LLMs, or related modern AI capabilities.

• Experience with personalization, recommendation systems, next-best-action, optimization, customer decisioning, or intelligent automation.

• Understanding of the end-to-end Decision Science lifecycle, including experimentation, productionization, monitoring, governance, and continuous optimization.

• Experience working with large-scale customer, behavioral, interaction, or operational datasets and developing reusable data science products.

• Strong commercial acumen and storytelling, with the ability to connect analytical and technical choices to customer and business value.

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.

At American Express, our culture is built on a 175-year history of innovation, shared values (https://www.americanexpress.com/en-us/company/who-we-are/) 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 our 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.

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 (https://www.americanexpress.com/en-us/colleagues/benefits) .

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 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.

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The below represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.

Job Info

• Job Identification 26014870

• Job Category Data Mgmt and Analytics

• Posting Date 10/08/2026, 10:09 AM

• Apply Before 10/22/2026, 12:00 AM

• Degree Level Bachelor's Degree

• Job Schedule Full time

• Job Shift Day

• Locations AMEX World Financial Center, New York, NY, 10285, US(Hybrid)

• Salary Range $123000 - $215250 annually + bonus + benefits

• Career Area Analytics & Risk Management

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