Manager-Data Science at American Express Malaysia Sdn Bhd

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

26 Jun, 26

Salary

174750.0

Posted On

28 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Personalization, Machine Learning, GenAI, Python, SQL, Analytical Solutions, Model Deployment, Hypothesis-Driven Thinking, Cross-functional Collaboration, Digital Experience Design, Segmentation, Next-Best-Action, Data Products, Customer Experience Design, Real-time Decisioning

Industry

Financial Services

Description

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. 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. With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities, and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you—supported by benefits, programs, and flexibility that help you thrive personally and professionally. At American Express, you’ll be recognized for your contributions and impact. Every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team—upholding our values and the promise of powerful backing to deliver the world’s best customer experience every day. Description: You Lead the Way. We’ve Got Your Back. With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities, and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you—supported by benefits, programs, and flexibility that help you thrive personally and professionally. At American Express, you’ll be recognized for your contributions and impact. Every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team—upholding our values and the promise of powerful backing to deliver the world’s best customer experience every day. About the Team: The Analytics, Investments and Marketing Enablement (AIM) team within Global Commercial Services Marketing (GCSM) powers customer acquisition, engagement, and retention through data, advanced analytics, and AI. Within AIM, the Customer Experience Optimization (CXO) Personalization – GCS Digital Acquisitions team is focused on building scalable, intelligent personalization for SME customers across acquisition channels—including website and application experiences. This team sits at the intersection of AI/GenAI, advanced analytics, and digital product, with a mandate to build AI-native personalization capabilities. The team is responsible for shaping how we deliver relevant, context-aware experiences to SBS and Corporate prospects in real time, with a strong focus on building scalable systems and capabilities, not just analyzing outcomes. How will you make an impact in this role? In this role, you will focus on executing personalization strategies and developing analytical solutions that improve customer engagement and conversion. You will work closely with cross-functional partners to embed personalization into digital experiences and support the delivery of scalable, data-driven use cases. Key Responsibilities: CXO Personalization & Digital Experience Design Support the design and implementation of personalization strategies across acquisition touchpoints (website, landing pages, application flows). Analyze behavioral and contextual data to inform targeted messaging, content, and offers. Collaborate with product and engineering teams to integrate personalization into digital platforms. AI / GenAI-Driven Decisioning Apply machine learning and GenAI techniques to develop personalization use cases (e.g., segmentation, next-best-action). Contribute to building and testing models that enable improved targeting and customer experience. Scalable Data Science & Systems Thinking Work with large datasets to generate insights and build analytical solutions. Develop reusable code, models, and frameworks under guidance. Support deployment and monitoring of models in production environments Problem Solving & Insight Generation: • Tackle ambiguous, high-impact business problems with structured, hypothesis-driven thinking. • Synthesize data into clear, actionable insights that inform product and experience design. • Apply measurement as a supporting tool to validate and refine personalization strategies. Minimum Qualifications: • Exceptional analytical and problem-solving skills, with the ability to break down complex, ambiguous problems into structured solutions. • Demonstrated ability to solve open-ended problems with minimal structure, applying strong first-principles thinking and logical rigor. • Strong programming experience in Python, SQL, or similar languages. • 2-3 years of hands-on experience with machine learning techniques (e.g., regression, clustering, tree-based models, or similar). • Experience working with large-scale data and building analytical solutions in a digital or product environment. • Demonstrated ability to work across cross-functional teams (product, engineering, marketing). • Strong communication skills with the ability to translate complex ideas into clear, actionable narratives. Preferred Qualifications: • Bachelor's degree in a quantitative field (e.g., Engineering, Computer Science, Mathematics, Statistics, Economics). • Experience in personalization, recommendation systems, or real-time decisioning. • Familiarity with digital ecosystems (e.g., web/app analytics, identity resolution, martech stacks, experimentation platforms). • Exposure to or hands-on experience with GenAI applications (e.g., LLMs, prompt engineering, AI-assisted workflows). • Experience building or contributing to end-to-end data products or decisioning systems. • Strong intuition for customer experience design and digital journeys. • Ability to operate in a fast-paced, build-oriented environment with a focus on impact and scalability. Salary Range: $103,750.00 to $174,750.00 annually + bonus + benefits The above 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. 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%25 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. 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, but not limited to, 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. US Job Seekers - Click to view the “Know Your Rights” poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: https://www.eeoc.gov/poster 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.

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Responsibilities

The role focuses on executing personalization strategies and developing analytical solutions to enhance customer engagement and conversion across digital acquisition touchpoints. This involves supporting the design and implementation of these strategies, applying machine learning/GenAI for decisioning, and building scalable data science frameworks.