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 analysing outcomes.
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.
ResponsibilitiesPersonalization & Digital Experience Support
• Assist in executing personalization strategies across digital touchpoints (e.g., website, landing pages, application flows).
• Analyze customer behavior and contextual data to support targeted messaging, content, and offers.
• Work with product and engineering teams to help implement personalization features on digital platforms.
• AI / GenAI-Driven Decisioning
• AI / GenAI-Enabled Use Cases
• Support development of personalization use cases using basic machine learning or GenAI techniques (e.g., segmentation, next-best-action).
• Help with data preparation, model inputs, and testing under guidance.
• Contribute to experimentation and evaluation of AI-driven features.
• Work with structured and unstructured data to generate insights.• Build queries, dashboards, and basic analytical models.
• Contribute to reusable code and analysis pipelines with guidance.
• Assist in monitoring model performance and reporting key metrics.
Data Analysis & Solution Development
Problem Solving & Insights
• Break down business problems into smaller analytical tasks with support.
• Generate insights from data and present findings clearly.
• Support measurement and analysis of personalization initiatives.
QualificationsMaster’s degree in a quantitative field (e.g., Engineering, Computer Science, Mathematics, Statistics, Economics).
• Upto 2 years of experience in data analysis, analytics, or related roles.
• Basic programming skills in Python, SQL, or similar.
• Familiarity with fundamental machine learning concepts (e.g., regression, clustering).
• Ability to analyze data and derive insights with guidance.
• Good communication skills and ability to present findings clearly.
Preferred Qualifications
• Exposure to personalization, marketing analytics, or digital data.
• Familiarity with web/app analytics tools or experimentation platforms.
• Basic understanding of GenAI or LLM concepts.
• Experience working with cross-functional teams (internships/projects acceptable).
• Interest in customer experience and digital product journeys.
About UsAt 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 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.
About the TeamWe 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
- Support for financial-well-being and retirement
- Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
- Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
- Generous paid parental leave policies (depending on your location)
- 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
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.
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.
Skills Required
- Master's degree in a quantitative field (Engineering, Computer Science, Mathematics, Statistics, Economics)
- Up to 2 years of experience in data analysis, analytics, or related roles
- Basic programming skills in Python
- Basic programming skills in SQL
- Familiarity with fundamental machine learning concepts (regression, clustering)
- Ability to work with structured and unstructured data
- Ability to analyze data and derive insights and present findings clearly
- Good communication skills
- Exposure to personalization, marketing analytics, or digital data
- Familiarity with web/app analytics tools or experimentation platforms
- Basic understanding of GenAI or LLM concepts
- Experience working with cross-functional teams (internships/projects acceptable)
- Interest in customer experience and digital product journeys
American Express Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about American Express and has not been reviewed or approved by American Express.
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Healthcare Strength — Pay is often viewed as attractive when combined with comprehensive health, dental, and vision coverage that supports day-to-day needs. The benefits package is also framed as especially helpful for those supporting dependents.
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Retirement Support — Retirement benefits are positioned as a meaningful part of total rewards through a 401(k) plan with company matching. Financial wellness services and coaching are also highlighted as strengthening longer-term financial security.
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Leave & Time Off Breadth — Paid time off is repeatedly characterized as generous and a valued component of the overall package. Time off and flexibility are presented as helping the total rewards feel more complete beyond base salary.
American Express Insights
What We Do
At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we’re supporting our customers’ financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly striving to uphold our powerful backing promise to our customers and each other every day. These beliefs have been our North Star for 170 years as our business transformed – from helping evacuate travelers during World Wars, to ensuring the safety of our customers’ funds during the Great Depression in the U.S., to creating the Shop Small® movement to help small businesses recover from the Financial Crisis, to providing aid to communities impacted by many natural disasters and so much more. For generations, the key to our success has been the determination and resilience of our American Express colleagues. Now, as a globally integrated payments company, we work together to provide customers with access to products, insights and world-class experiences that enrich lives and build business success. Join us and let’s lead the way together.
