Senior Manager - Data Science

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.

- 5+ years of relevant work experience in data science, machine learning, and advanced analytics.
- Bachelor’s degree required, 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