Among computer and information systems managers, AI is already used for some of the tasks. Measured exposure for computer and information systems managers: 16% (some).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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About the job

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 critical for the success of the organization. The Sales Enablement team is at the forefront of driving these priorities.

The Senior Manager will play a critical role in shaping and executing data-driven strategies to enhance Sales effectiveness, strengthen portfolio performance and accelerate growth across GCS. Partnering closely with GCS senior leadership and cross-functional teams across Marketing, Finance, Product, Technology, and Capabilities, this individual will apply advanced data science and analytics to solve complex business challenges and influence strategic decisions.

Key areas of focus include identifying growth opportunities, understanding Sales and client behaviors, optimizing incentive effectiveness, and discerning emerging performance risks. The Senior Manager will lead the development and application of advanced statistical and machine learning models to support these priorities and build scalable analytical solutions. The role will also drive innovation through the development of GenAI-powered solutions, leveraging large language models (LLMs), direct API integrations, and unstructured data to expand analytical capabilities and improve business decision-making. This is a fast-paced environment requiring strong relationship skills, expertise in applied data science, technical leadership, and a commitment to excellence.

Lead Data Science Projects: Design, develop, and deploy predictive and explanatory analytical solutions using machine learning, NLP, and generative AI to address critical business problems, strengthen forecasting, refine incentive plan designs, and identify gaming behaviors

Drive Analytics: Deliver high-impact analytics to inform strategy by developing actionable insights into Sales and client behavior. Introduce new approaches to transform complex behavioral data and influence decision-making across the organization

GenAI Analytics Use Case Development: Lead key workstreams in the design, development, and operationalization of a GenAI-enabled analytics solution that synthesizes internal performance data and external competitive signals into actionable insights, with defined success metrics and ongoing monitoring

Develop Modeling Capabilities: Build and evaluate models using modern ML frameworks (e.g., TensorFlow, PyTorch), 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 stakeholders 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 modern cloud and distributed compute patterns

Lead Innovation Through External Perspective: Stay current on advancements in machine learning, deep learning, and generative AI; evaluate emerging approaches; and translate theoretical advances into practical, scalable solutions that improve business outcomes. Challenge the status quo and demonstrate strong curiosity

Define Performance Indicators: Lead analytics and measurement of key performance indicators. Own stakeholder and executive-level communications on initiative progress, including automated monthly measurement tied to specific strategic initiatives

Communicate Insights Effectively: Present findings, recommendations, and results to technical and non-technical audiences, including executive leadership, through clear reports, visualizations, and presentations, to enable data-driven decision-making

Minimum Qualifications:

5+ years of relevant work experience in data science, machine learning, and advanced analytics

Bachelor’s degree, preferably in a quantitative field such as Economics, Finance, Computer Science, Mathematics, Statistics, or Engineering

Experience developing and deploying statistical, machine learning, and deep learning models to solve business problems, using tools such as scikit-learn, PyTorch, or TensorFlow

Experience developing GenAI solutions, including LLM API integration, retrieval-augmented generation (RAG), and model evaluation

Strong analytical and conceptual thinking skills, with the ability to translate complex business problems into quantitative approaches and practical solutions

Proficiency in Python and SQL, with experience processing and analyzing large-scale structured and unstructured datasets using distributed computing frameworks (e.g. Spark)

Ability to synthesize complex analytical findings, develop effective data visualizations, and influence decisions across senior leadership and cross-functional stakeholders

Ability to work independently and collaboratively across teams, demonstrating strong problem-solving skills, intellectual curiosity, and adaptability

Preferred Qualifications:

Master’s degree or PhD in a quantitative field (Computer Science, Statistics, Econometrics, Mathematics, Physics, Operation Research, Engineering, etc.)

Stakeholder management at the executive level

People leadership experience

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.

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. 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.