Visa-posted 3 months ago
Full-time • Entry Level
Hybrid • Foster City, CA
Credit Intermediation and Related Activities

The Global Data Office at Visa, led by the Chief Data Officer, coordinates high-impact, complex, company-wide projects related to data business strategy, critical investments, policy development, and marketplace execution. The Data & AI Governance Team (DAG) is responsible for creating and implementing foundational data and AI management and governance policies, standards, and processes. Visa's brand is built on trust, and as the leader in digital payments, we hold ourselves to the highest standards for data and AI usage, protection, and privacy. The goal is to be both a protector and enabler of growth, helping all staff to use data and AI to make critical business decisions, drive operational excellence, improve employee engagement, drive growth for Visa and our clients, optimize cost, and minimize risks to the enterprise.

  • Support development of innovative tools, roadmaps, documentation, and training to strengthen Data and AI Governance at Visa.
  • Acquire expertise on Visa's Data and AI products and support initiative owners and technical teams on governance requirements and risk mitigation.
  • Analyze new use cases to identify risks and compliance issues.
  • Leverage AI and new tools to drive efficiency and innovation.
  • Collaborate with internal Visa teams (e.g., regional, Product, Technology, Privacy, Risk, Cybersecurity, and Legal) to ensure policy and regulatory compliance.
  • Gather and apply stakeholder feedback to help update and implement policy guidance.
  • Support metrics, reporting, and communication of performance results to drive insights.
  • Provide training and support for Data Stewardship, Data Lifecycle Management, risk identification, and use case assessments.
  • 2 years of relevant work experience with a Master's degree in Computer Science, Engineering, Data Science, Mathematics, Economics, Statistics, or a related technical field graduated between January 2024 - August 2025.
  • Training or work experience in project or program management
  • Outstanding written, verbal communication and presentation skills
  • Ability to lead development projects from start to finish
  • Comfort with ambiguity and ability to structure complex analysis through data analysis and strategy research
  • Proficiency in data analysis techniques, statistical analysis, data visualization, and data mining
  • Power user with Excel; ability to use tools such as python, Scala, R, SQL, and data visualization software, such as PowerBI, Tableau
  • Familiarity with vector similarity search, RAG architectures, and LLM prompt evaluation
  • Experience co-developing with software engineers in production environments
  • Experience in ML, AI and Generative AI model and applications development
  • Hands-on experience with Pre-Training, Fine-Tuning, Reinforcement Learning
  • Understanding of Model Bias, Fairness, Model Explainability, and Model Drift
  • Experience with high-performance imperative languages including Python, Java, React.js, Next.js, full-stack web development
  • Familiarity with AI SaaS platforms to enable automation
  • Training or work experience in data governance, data lifecycle management, risk management, or data science involving AI
  • Knowledge of AI industry frameworks, and capability to streamline and accelerate workflows
  • Sector experience in payment processing/payment services, financial services (within a regulated environment), other regulated industries, or technology/financial technology
  • Medical
  • Dental
  • Vision
  • 401 (k)
  • FSA/HSA
  • Life Insurance
  • Paid Time Off
  • Wellness Program
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