About UsVisa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.
Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you.
Job DescriptionAbout the JobVisa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose - to uplift everyone, everywhere, by being the best way to pay and be paid.
Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.
Job DescriptionVisa is searching for a Senior Manager, Data Science & Analytics - Global Marketing Services to build and own the data and intelligence layer for Marketing Services' AI solutions and agents. This role spans analytics and data science, combining deep analytical skills with AI data readiness expertise to convert VisaNet transaction data, client profile data, and market context into ranked, actionable growth opportunities. The ideal candidate is equally comfortable conducting exploratory analysis to frame business opportunities and building the predictive models and data structures that make those opportunities actionable at scale.
This role will be part of the AI Transformation team within the Global Marketing Services organization. The Senior Manager will assess, structure, and prepare data assets for AI consumption, design the analytical frameworks and models that power opportunity detection and sizing, and own the opportunity scoring framework that surfaces ranked recommendations to business development teams. The role requires someone who can evaluate data readiness across multiple sources, identify gaps and quality issues, define the data preparation and enrichment needed to make content AI-ready, and then build the models that turn that data into intelligence.
The role requires a leader who can work across the full spectrum, from data assessment and readiness through analysis, model development, and stakeholder communication. It demands comfort navigating raw, messy, and fragmented data environments, building the structure and pipelines that make data usable by AI systems, and translating analytical outputs into clear business recommendations.
Reporting to the Senior Director, AI Transformation, Global Marketing Services, this leader will partner with Visa Consulting & Analytics (VCA), Global Insights & Analytics, Marketing Services regional teams, Visa Technology teams, and cross-functional partners across Finance, Legal, Privacy, Risk, and Compliance to build data solutions for the intelligence layer and ensure data foundations are AI-ready.
Key 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.
No visa sponsorship or relocation assistance will be provided for this positionVisa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.
QualificationsBasic Qualifications- 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 Qualifications- 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.
Additional InformationThis role requires a leader who combines deep technical expertise with business acumen. The ideal candidate will have strong relationship-building skills, excellent written and verbal communication, personal presence, and the ability to clearly communicate complex analytical concepts and model outputs to both technical and business audiences. Experience navigating messy, fragmented data environments and building the structure that makes data AI-ready is essential.
The candidate should be extremely organized, demonstrate quick follow-through, and bring a strong bias toward action. The role requires comfort working in fast-paced, matrixed environments and the ability to collaborate across regions and business units to execute strategy and drive measurable business outcomes.
Acceptable Position LocationSeeking a candidate who will be based in the Visa San Francisco Office in Mission Rock.
This is a hybrid position. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs. Visa is not offering relocation assistance for this role.
Information for US ApplicantsFor roles located in the US, the estimated salary range for this position is $154,000.00 to $ 247,000.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.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.
Work HoursVaries upon the needs of the department.
Travel RequirementsThis position requires travel 5-10% of the time.
Mental/Physical RequirementsThis position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.
Visa is an EEO EmployerQualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law, including the requirements of Article 49 of the San Francisco Police Code.
