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
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
The shift timing for this position would be 1 PM to 10 PM IST

Skills
Python, SQL, Machine Learning, Deep Learning, NLP, Apache Spark, TensorFlow, PyTorch, LLM, Generative AI

Work arrangement
Hybrid