Senior Manager, Data Science & Analytics - Global Marketing Services

Visa•San Francisco, CA

6d•$154,000 - $247,000•Hybrid

About The Position

Visa is seeking a Senior Manager, Data Science & Analytics for its Global Marketing Services organization to build and own the data and intelligence layer for Marketing Services’ AI solutions and agents. The role combines analytics, data science, and AI data readiness: it turns VisaNet transaction data, client profile data, and market context into ranked, actionable growth opportunities. The position is part of the AI Transformation team and reports to the Senior Director, AI Transformation, Global Marketing Services. The Senior Manager will assess and prepare data assets for AI consumption, develop analytical frameworks and predictive models for opportunity detection and sizing, and own the scoring framework that ranks recommendations for business development teams. This includes assessing data readiness across multiple sources, identifying data gaps and quality issues, defining data preparation and enrichment, and building models and structures that convert data into useful intelligence. The role partners with Visa Consulting & Analytics, Global Insights & Analytics, Marketing Services regional teams, Visa Technology, and Finance, Legal, Privacy, Risk, and Compliance. It requires translating analytical findings and model outputs into clear business recommendations, and working effectively with fragmented data in a fast-paced, matrixed environment. The position is based in Visa’s San Francisco Mission Rock office and is hybrid, with employees expected to work in the office two to three set days per week; the general guidepost is 50% or more of working time in the office based on business needs. Travel is required 5–10% of the time. The role is performed in an office setting and involves sitting and standing at a desk, communicating in person and by telephone, and frequently operating standard office equipment. Work hours vary according to department needs. No visa sponsorship or relocation assistance is provided. For US applicants, the estimated annual salary range is $154,000 to $247,000, potentially including sales incentive payments where applicable. The position may also be eligible for bonus and equity. Eligible benefits include Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and a Wellness Program.

Requirements

At least 8 years of work experience with a Bachelor’s degree, or at least 6 years 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 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, evaluating data quality, identifying gaps, defining 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 and pandas.
Experience working with large-scale structured and unstructured datasets across multiple sources, including transaction, CRM, and market intelligence data.
Experience building scoring frameworks, recommendation systems, or opportunity detection models that produce ranked, actionable business outputs.
Experience with data governance, metadata management, data cataloging, or data readiness frameworks for AI programs.
Strong ability to translate complex analytical findings into clear business recommendations and stakeholder communications.
Strong relationship-building skills and excellent written and verbal communication, including the ability to explain complex analytical concepts and model outputs to technical and business audiences.
Ability to work with messy, fragmented data, bring structure to ambiguous environments, follow through quickly, and collaborate across regions and business units in a fast-paced, matrixed environment.
Ability to travel 5–10% of the time and work in a hybrid arrangement at the San Francisco Mission Rock office.

Nice To Haves

At least 10 years of work experience with a Bachelor’s degree, or at least 8 years with an advanced degree such as a Master’s or PhD.
Experience with LLM-based solutions, generative AI, or natural language processing 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, fintech, or card products.
Strong analytical, problem-solving, and strategic thinking skills, including the ability to operate in ambiguity, build structure in white space, and drive action across stakeholders and business units.

Responsibilities

Own the data and intelligence layer for AI solutions and agents by designing and building end-to-end analytical solutions that convert raw data into ranked, actionable client growth opportunities; define model architecture, feature engineering, and scoring methodology.
Assess and prepare data for AI readiness across VisaNet transaction data, client CRM and profile data, Visa Analytics Platform data, and market intelligence sources; identify gaps, quality issues, and structural barriers, and define data preparation, enrichment, and structuring.
Develop statistical and predictive models for opportunity detection, root-cause attribution, and opportunity sizing using techniques such as regression, classification, clustering, and machine learning.
Design and maintain the opportunity scoring framework, including score calibration, refresh cadences, and output formats that business users can act on.
Partner with Visa Technology, VCA, and Insights & Analytics teams to integrate VisaNet transaction data, Visa Analytics Platform data, and client CRM and profile data; define data requirements, validate data quality, and ensure reliable, scalable pipelines.
Partner with Responsible AI, Legal, Risk, Privacy, and Compliance teams to ensure models meet governance, regulatory, and Visa standards; maintain model documentation, validation records, and performance monitoring.
Translate analytical findings and model outputs into clear, actionable recommendations and present opportunity intelligence to Marketing Services, VCA, and regional teams to support commercial decisions.