AI Automation Analyst at Visa

Foster City, California, United States

Visa Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Fintech, Payments, TechnologyIndustries

Requirements

  • Strong business acumen to translate complex operational challenges into practical AI solutions
  • Ability to communicate insights effectively to both technical and non-technical stakeholders
  • Expertise in designing, developing, and deploying agentic AI workflows
  • Proficiency in integrating predictive, generative, and prescriptive AI models into enterprise processes
  • Skills in applying ML, deep learning, and NLP techniques to diverse datasets
  • Experience building scalable, secure data pipelines for AI training, inference, and monitoring
  • Ability to collaborate with product managers, engineers, and domain experts
  • Capability to define, track, and report KPIs for productivity improvements, cost savings, and accuracy gains
  • Knowledge of experimentation frameworks such as A/B testing and performance benchmarking
  • Ability to document workflows, models, and processes for knowledge sharing and best practices
  • Awareness of emerging AI frameworks and LLM-based automation for prototyping solutions
  • Strong communication skills to explain complex technical concepts and foster cross-functional collaboration

Responsibilities

  • Design and implement agentic AI workflows to automate multi-step tasks and drive business impact
  • Integrate predictive, generative, and prescriptive AI models into enterprise processes for decision support and efficiency gains
  • Apply ML, deep learning, and NLP techniques to diverse datasets, building scalable, secure data pipelines for AI training, inference, and monitoring
  • Collaborate with product managers, engineers, and domain experts to embed AI solutions into operations
  • Define, track, and report KPIs to measure productivity improvements, cost savings, and accuracy gains
  • Validate AI impact through experimentation frameworks such as A/B testing and performance benchmarking
  • Document workflows, models, and processes to ensure knowledge sharing and adherence to best practices
  • Stay current on emerging AI frameworks and LLM-based automation, prototyping innovative solutions for rapid adoption
  • Communicate complex technical concepts clearly to technical and non-technical stakeholders, fostering cross-functional collaboration
  • Drive adoption of AI initiatives across multiple business units, quantifying and articulating ROI of automation efforts

Skills

AI
Machine Learning
Data Science
Data Engineering
Automation
Analytics
Python
SQL
ML Engineering
Agentic AI

Visa

Global digital payment network provider

About Visa

Visa operates a global digital payment network that facilitates electronic payments for millions of people daily. The company connects consumers, businesses, financial institutions, and governments, allowing them to make transactions using Visa cards. Each time a card is used, Visa earns money through transaction, service, and data processing fees. Unlike many competitors, Visa focuses on expanding access to financial services for underserved communities and supporting local economies. The company's goal is to promote financial inclusivity and drive sustainable commerce, ensuring that more people can participate in the global economy.

San Francisco, CaliforniaHeadquarters
1958Year Founded
$55.8MTotal Funding
ANGEL_INDIVIDUALCompany Stage
Fintech, Financial ServicesIndustries
10,001+Employees

Benefits

Health Insurance.
Life Insurance.
Dental Insurance.
Disability Insurance.
Accidental Death & Dismemberment Insurance.

Risks

CBDCs could reduce reliance on Visa's payment network.
'Buy Now, Pay Later' services may decrease traditional credit card transactions.
Fintech startups offering zero-fee transactions could pressure Visa's revenue model.

Differentiation

Visa operates a global digital payment network connecting millions daily.
The company focuses on financial inclusivity and sustainability in its operations.
Visa collaborates with central banks on Central Bank Digital Currencies (CBDCs).

Upsides

Visa's partnership with fintechs enhances cross-border payment solutions.
Adoption of blockchain technology could revolutionize digital payments.
AI-driven fraud detection systems are reducing fraudulent activities.

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