Manager, Data Science & AI
Core
Manager leading end-to-end AI-driven analytics and data science to optimize cards portfolio, customer lifecycle, and campaign effectiveness for Visa's payments network.
Role type
Manager, Data Science & AI
Builds
Scalable AI/ML solutions (propensity engines, next-best-action, recommendation models) embedded into business decisioning for payments clients.
Domain
Payments technology / Financial services
Deliverable
production ML models | dashboards & analysis
Required skills
statistical modeling, machine learning, Python, feature engineering, model deployment, responsible AI, project management, stakeholder communication
Preferred skills
GenAI/LLM awareness, cloud data platforms, CI/CD for models, experiment tracking
Technologies
Python, Hadoop, Hive, Impala, cloud-based equivalents
Responsibilities
Conduct deep-dive analysis on large-scale transactions to generate actionable insights; Build, validate, and interpret statistical and machine learning models; Execute end-to-end analytics workflow from problem framing to validation; Ensure analytical rigor and data quality checks; Translate analytical outputs into clear recommendations for non-technical stakeholders; Support deployment of data science models into production environments; Design and support AI-enabled solutions like propensity engines and campaign optimization tools; Manage multiple analytics projects ensuring on-time delivery; Apply responsible AI principles including explainability and fairness.
Seniority
Manager, hands-on IC with delivery and stakeholder management