Data and AI Governance Analyst
Visa is hiring a Data and AI Governance Analyst in Foster City, United States. It pays $149k-$239k a year and Level rates it ; you can apply on Visa.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- Tools and skills the posting cites include prompt engineering, RAG and AI agents.
- Level lists 848 other open roles at Visa.
- The role was posted in the last few days.
AI in this role
About Us
Visa 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 Description
Position Summary
The Project Analyst is a member of the Data & AI Policy & Governance team and is responsible for improving how governance requirements are designed, implemented, and adopted across the enterprise.
This role combines policy analysis, data analytics, process improvement, and AI innovation to evaluate how governance requirements perform in practice, identify opportunities to improve effectiveness and usability, and help translate policy into scalable operational capabilities.
The analyst will use data, stakeholder feedback, and implementation insights to inform policy decisions, support continuous improvement of governance frameworks, and develop AI-enabled solutions that make policy easier to understand, access, and operationalize.
The ideal candidate is analytically minded, technologically curious, and passionate about using data and AI to make governance more effective, efficient, and scalable.
Key Responsibilities
Policy Analysis & Continuous Improvement
- Analyze how policies, standards, procedures, and governance requirements are implemented across the enterprise.
- Evaluate governance outcomes, implementation challenges, stakeholder feedback, and operational metrics to identify opportunities for improvement.
- Determine whether implementation challenges stem from policy design, process execution, technology limitations, or organizational factors.
- Recommend enhancements to policies, standards, guidance, and governance frameworks that improve effectiveness, scalability, and user experience while maintaining appropriate risk management objectives.
- Develop metrics, reporting, and insights that support data-driven policy decisions and demonstrate governance effectiveness.
- Support the development of implementation guidance, playbooks, and supporting materials that improve consistency and adoption.
AI & Digital Governance Enablement
- Identify opportunities to leverage AI, automation, and agent-based capabilities to improve governance processes and user experiences.
- Translate policy requirements into machine-consumable knowledge, decision logic, workflows, and governance capabilities.
- Design, prototype, or support AI-enabled solutions that help users navigate governance requirements and make informed decisions.
- Build or support AI agents, copilots, knowledge solutions, and workflow automations that operationalize policy requirements.
- Evaluate emerging technologies and recommend practical applications that improve governance effectiveness and scalability.
Stakeholder Collaboration & Requirements Management
- Partner with Privacy, Legal, Risk, Security, Technology, Product, and operational governance teams to understand implementation challenges and opportunities for improvement.
- Gather, document, and prioritize requirements for policy enhancements, reporting capabilities, AI-enabled solutions, governance tooling, and process improvements.
- Translate analytical findings and stakeholder needs into actionable recommendations and implementation plans.
- Support adoption and change management activities associated with governance initiatives and new capabilities.
Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.
Qualifications
- Strong analytical and problem-solving skills.
- Experience in policy, governance, risk management, compliance, business analysis, process improvement, or related disciplines.
- Experience using data to evaluate performance, identify trends, and develop actionable recommendations.
- Experience with Power BI, SQL, Python, Tableau, or similar analytical tools.
- Experience building or supporting AI agents, copilots, automation solutions, or other AI-enabled business capabilities.
- Familiarity with LLMs, RAG architectures, agentic workflows, prompt engineering, knowledge management, or AI orchestration frameworks.
- Strong written and verbal communication skills with the ability to explain complex concepts to both technical and non-technical audiences.
Information for US Applicants
Work Hours
Varies upon the needs of the department.
Travel Requirements
This position requires travel 5-10% of the time.
Mental/Physical Requirements
This 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 Employer
Qualified 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.How we rate this
Data and AI Governance Analyst at Visa rates 14 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you decide when an AI agent can act on its own versus asking for approval first?
Adapt your resume
- List these exact terms on your resume: Prompt engineering, RAG, and AI agents. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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