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.

How will you make an impact in this role?

Global Commercial Services (GCS) is the global leader in providing payments solutions for Small, Medium, and Large Enterprises. We are in the business of helping our clients get business done! Accelerating sales and driving profitable charge volume growth are crucial for the success of the organization. The Sales Enablement team is instrumental in driving these objectives.

The Senior Manager will play a critical role supporting the development of growth and data-driven strategies to improve Sales portfolio performance and drive execution, while working alongside senior leadership within GCS. The ideal candidate should demonstrate creativity, curiosity, and passion for dealing with large amounts of data and converting it into valuable, actionable information. We seek a thought-leader and a problem-solver who can blend business, technical, and industry standard methodologies when it comes to developing data-driven solutions.

The position will provide consultative support to the GCS Sales leadership team through development of analytical solutions. While also highlighting trends, risks, and opportunities to enhance business decision-making processes, while working very closely with Sales, Marketing, Finance, Technology, and Capabilities partners to drive Sales growth. The incumbent will lead a team of data scientists to design, develop, and test ML-derived solutions that deliver higher client engagement and improve efficiency. The role is positioned at a unique intersection of analytics and informing business outcomes. This is a fast-paced environment requiring a mix of strong relationship skills, passion for applied data science, people leadership, and a singular focus on excellence.

Responsibilities:

Lead Data Science Projects: Design, develop, and implement predictive and explanatory analyses that address critical business problems, leveraging expertise in classical machine learning, NLP, generative AI, and other areas. Strengthen forecasting, refine incentive plan designs, and identify gaming behaviors Drive Analytics: Create world class analytics and add valuable insights to inform strategy. Develop actionable insights into Sales and client behavior, and introduce new approaches to transform complex behavioral data, and influence decision-making and strategic direction across the organization Develop Modeling Capabilities: Hands-on experience with popular frameworks like TensorFlow, PyTorch, Transformers, etc., focusing on scalability, performance, and interpretability People Leadership: Lead a team of high-performing data scientists Collaborate Across Teams: Establish and maintain close relationships with key cross-functional partners to understand business strategies, develop goals, and address opportunities Develop Scalable Solutions: Architect and deploy robust, efficient, and scalable data pipelines and modeling solutions using cloud-based technologies (e.g., Lumi) and programming languages like Python, Spark, etc. Lead Innovation Through External Perspective: Research emerging trends and advancements in machine learning, deep learning, NLP, and generative AI; apply this knowledge to solve complex problems; translate theoretical advances into practical, scalable solutions that drive the business forward. Challenge status quo, innovate, and harbor strong curiosity Define Performance Indicators: Lead analytics and measurement across key performance indicators. Own key stakeholder and executive level communications on progress of committed initiatives, including provision of automated monthly measurement focusing on specific strategic initiatives Communicate Insights Optimally: Present findings, recommendations, and results successfully to both technical and non-technical audiences, including executive leadership, via clear reports, visualizations, and presentations, to enable data-driven decision making

Minimum Qualifications:

3-4 years of relevant work experience Bachelor’s Degree required, preferably in a quantitative field (e.g., Economics, Finance, Computer Science, Mathematics/Statistics, Engineering) Strong analytical and conceptual thinking acumen, with demonstrated ability of translating complex, unstructured business problems into mathematical programming models. Leverage external insights and tools (from academia or other industries) where needed Capable of articulating key findings to senior leadership and stakeholders, leveraging insights to influence business decisions Familiarity with machine learning libraries and frameworks (e.g., Tensorflow, PyTorch, scikit-learn) and experience applying algorithms to real-world business problems High proficiency in Python/SQL is required  Proficiency in analytical and statistical tools (e.g., Hive, PySpark, scikit-learn etc.) is required Experience in Big Data environment, inclusive of data mining techniques and data processing. Ability to address performance issues and to manipulate both structured and unstructured data Proven experience with data visualization and reporting tools (e.g. Matplotlib, seaborn, PowerBI) Proficiency with industry recognized ETL methods, processes and standards Advanced knowledge of Microsoft Office Suite (Excel pivot, macros, deck-writing) Strong communication skills, capable of explaining analyses in audience-appropriate terms Ability to work independently as well as collaboratively in a dynamic, cross-functional environment, with a strong attention to detail and passion for learning

Preferred Qualifications:

Masters/PhDs in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Mathematics, Physics, Operation Research, Engineering and etc.) with hands-on experience leveraging sophisticated analytical and machine learning techniques 2+ years’ experience of applying machine learning techniques to real business problems Experience leading teams

Salary Range: $90,000.00 to $165,000.00 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% 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.

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