Senior Manager-Data Science

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, youll 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. How we serve our customers is constantly evolving and is a challenge we gladly accept. Whether you re finding new ways to prevent identity fraud or enabling customers to start a new business, you can work with one of the most valuable data sets in the world to identify insights and actions that can have a meaningful impact on our customers and our business. And, with opportunities to learn from leaders who have defined the course of our industry, you can grow your career and define your own path. Find your place in Data Science and Analytics on #TeamAmex. How will you make an impact in this role? The Analytics, Investments & Marketing Enablement (AIM) a part of GCS Marketing is the analytical engine that enables the Global Commercial Card business. The team enables commercial businesses by providing actionable insights to drive business strategy and growth. This is an outstanding opportunity to work very closely with the commercial organization to provide meaningful analytics and actionable insights that help in creating growth strategies. This Manager B35 role, based out of India Gurgaon Location, would be a part of AIM team responsible for US Commercial Customer Spend Engagement and Retention Analytics and Data Sciences , in close partnerships with a diverse set of stakeholders in the US. The incumbent would work on a team with presence in NY and Gurgaon (India). Responsibilities: Be able to pull and analyze data to help develop actionable data-driven insights through a deep understanding of the commercial business. Sharpen Retention and Engagement strategy with focus on offer exploitation, spectrum and scaling proactive, reactive retention/engagement with AI & Offer PZN Help build and develop Trigger frameworks that will help prioritize leads for Field Sales and Phone teams by better identifying the highest value and highest engaging customers who will drive the most Expansion Charge Volume and Incremental Billed Business. Drive spend engagement, diversification through near real time triggers, inflection points, treatment arbitration & High impact supplier recommendations Build and maintain strong relationships with key partners to understand business objectives/challenges and provide solutions. Minimum Qualifications: Excellent communication and interpersonal skills, and ability to build and retain strong working relationships. Strong technical expertise to work with big data; ability to write and update code to pull data for analyses. Strong analytical/conceptual thinking acumen to solve business problems and articulate key findings to stakeholders Expertise in PySpark/Python/SQL/SAS Bachelors degree in a quantitative field (e.g. Statistics, Engineering, Physics, Mathematics, Economics) or business field Preferred Qualifications: Graduate with experience on machine learning, AI and analytical domain. 3+ years of experience in PySpark/Python/SQL/SAS Advance degree in a quantitative field (e.g. Statistics, Engineering, Physics, Mathematics, Economics) or business field preferred. Experience in Banking, Finance, or Credit Card industry is a plus :