Senior Manager, Data Science & Analytics - Global Marketing Services

Responsibilities

• Own the data and intelligence layer for AI solutions and agents: Design and build the end-to-end analytical solution that converts raw data into ranked, actionable client growth opportunities. Define the model architecture, feature engineering approach, and scoring methodology.
• Assess and prepare data for AI readiness: Evaluate data assets across VisaNet transaction data, client CRM and profile data, Visa Analytics Platform, and market intelligence sources. Identify data gaps, quality issues, and structural barriers. Define the preparation, enrichment, and structuring needed to make data consumable by AI models and agents.
• Build statistical and prediction models: Develop models for opportunity detection, root cause attribution, and opportunity sizing. Apply techniques spanning regression, classification, clustering, and machine learning to identify patterns across transaction data, client profiles, and market signals.
• Own the opportunity scoring framework: Design and maintain the scoring framework that ranks and surfaces actionable opportunities for business development teams. Define score calibration, refresh cadences, and output formats that business users can act on.
• Co-own data integration with VisaNet and enterprise data sources: Partner with Visa Technology, VCA, and Insights and Analytics teams to integrate VisaNet transaction data, Visa Analytics Platform data, and client CRM and profile data into the intelligence layer. Define data requirements, validate data quality, and ensure pipelines are reliable and scalable.
• Ensure model documentation, validation, and governance: Partner with Responsible AI, Legal, Risk, Privacy, and Compliance teams to ensure models meet governance, regulatory, and Visa standards. Maintain comprehensive model documentation, validation records, and performance monitoring.
• Communicate insights and recommendations to stakeholders: Translate analytical findings and model outputs into clear, actionable recommendations for business stakeholders. Present opportunity intelligence to Marketing Services, VCA, and regional teams in formats that drive commercial decision-making.

Requirements

• 8 or more years of work experience with a Bachelor’s degree, or at least 6 years of work experience with an Advanced Degree, such as a Master’s or PhD in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
• Experience spanning both analytics and data science, including exploratory data analysis, business intelligence, statistical modeling, and building predictive models in a production environment.
• Experience assessing data readiness for AI initiatives, including evaluating data quality, identifying gaps, defining data preparation requirements, and structuring data for AI consumption.
• Proficiency in Python, R, SQL, or similar languages for data analysis and statistical modeling, including experience with libraries such as scikit-learn, pandas, etc.
• Experience working with large-scale structured and unstructured datasets across multiple data sources, including transaction data, CRM data, and market intelligence.
• Experience building scoring frameworks, recommendation systems, or opportunity detection models that translate data into ranked, actionable business outputs.
• Experience with data governance, metadata management, data cataloging, or building data readiness frameworks for AI programs.
• Strong ability to translate complex analytical findings into clear business recommendations and stakeholder communications.

Preferred

• 10 or more years of work experience with a Bachelor’s Degree, or at least 8 years of work experience with an Advanced Degree, such as a Master’s or PhD.
• Experience with LLM-based solutions, generative AI, or natural language processing techniques applied to business intelligence or recommendation systems.
• Familiarity with cloud data platforms and distributed computing frameworks.
• Experience with model governance, documentation, and validation frameworks.
• Familiarity with payments, banking, fintechs, or card products is a plus.
• Strong analytical, problem-solving, and strategic thinking skills, with the ability to operate in ambiguity, build structure in white space, and drive action across stakeholders and business units.

Benefits

• Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.