The Analytics, Investment Optimization and Marketing Enablement (AIM) team – a part of Global Commercial Services Marketing group within American Express – is the analytical engine that enables the Global Commercial Card & Non-Card business. This role, based out of Gurugram, will be a part of the AIM team and will be responsible for Global Commercial Beyond Card Analytics. The team is responsible for cross-sell and engagement analytics for beyond card products across the SME and MM segment. The incumbent would be responsible for analytics solutions that would shape customer acquisitions and organic growth roadmap. The role requires a strong background in data analytics and commercial card knowledge. The position is part of a highly collaborative environment, interacting with and influencing partners across the Global Commercial Service’s business at American Express. ### Responsibilities - Spearheading analytics to drive beyond the card strategies comprising cross-sell and engagement - Drive multiple US SME strategic growth priorities like BLOC, BCA, Blueprint, and AP Automation - Support and enable the GCS product partners with actionable, insightful analytical solutions to help the leadership team evaluate and drive business performance. - Partner with functional leaders, Strategic Business Partners and Senior leaders to assess and identify opportunities for better customer engagement, and revenue growth - Apply emerging AI and GenAI techniques, such as intelligent customer journey optimization, semantic modeling and automated insights to enhance targeting precision and analytical productivity. - Excellent communication skills with the ability to engage, influence, and inspire partners and stakeholders to drive collaboration and alignment. - Exceptional execution skills – be able to resolve issues, identify opportunities, and define success metrics and make things happen. Drive Automation and ongoing refinement of analytical frameworks. - Willingness to challenge the status quo; breakthrough thinking to generate insights, alternatives and opportunities for business success. ### Qualifications - Master’s Degree in a quantitative field (e.g., Engineering, Mathematics, Finance, Computer Science, Statistics, Economics). - 2-3 years of professional work experience in Data Science and Analytics domain - Experience 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. - Strong analytical/conceptual thinking acumen to solve unstructured and complex business problems - Excellent written and oral communication skills Preferred Qualifications - Hands-on GenAI experience with background in Prompt Engineering, RAG architectures to solve business problems - Experience in digital marketing analytics, personalization, website optimization, or acquisition strategy. - Familiarity and interest in applying emerging AI and Gen AI capabilities to improve digital targeting outcomes. - Experience in large data processing and handling; and basic understanding of data science: XGBoost, decision trees, regression modeling, etc. - Strong communication skills with the ability to influence partners and drive action. ### About the Team 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 - 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. ### About the Company 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.