Company Description
Visa 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 Description
With data being the fuel that drives our future - our strategies, policies, and business successes around data will define our future growth prospects. Unlocking the value available through the innovative use of data on behalf of consumers, businesses, and communities is key to our future. With our ongoing commitment to Visa Data Values and the responsible use of data, we at Visa have a bold vision to continue to grow and accelerate our data-
The AI Products & Analytics team under the Global Data Office is creating the next generation of scalable and responsible AI, ML and Data solutions and products to solve client and consumer problems. We are a cross-functional team of data scientists, product / program managers, data engineers and ML Engineers focused on generating value for the payment ecosystem.We are dreaming of the next generation of AI features and products, Agentic AI solutions and high-quality analytics and data science support for our internal partner teams.
This position is in the AI Practices & COE sub-team under the AI Products & Analytics team, focused on AI Transformation of the Global Data Office. The AI Transformation program aims to accelerate operational efficiency and foster innovation through targeted automation. By deploying scalable AI solutions to existing time-consuming workflows with high potential for AI disruption, this will ensure measurable, sustainable benefits across the Global Data Office.
Responsibilities :
The Sr. Manager, AI Transformation will lead the design, development, and deployment of agentic AI systems-autonomous agents capable of reasoning, planning, and executing tasks-to drive enterprise workflow automation and productivity enhancement. This role requires end-to-end ownership from ideation to implementation, combining strategic program leadership with deep technical expertise.
This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.
Qualifications
Basic Qualifications :
8 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD
Preferred Qualifications :
9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD
8 years of relevant work experience with a bachelors degree or at least 5 years of relevant work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD degree
5+ years in product / program management with direct AI solution delivery, Experience deploying Agentic AI solutions
Hands-on Technical experience : At least 3-5 years coding, prototyping, and deploying AI / ML solutions
Advanced Degree with specialization in AI, Computer Science, Data Science, Engineering, Statistics or a highly quantitative field
Proven track record implementing automation in enterprise contexts
Supplementary certifications in AI product management, cloud platforms, or project / program management (e.g., PMP, Agile / Scrum) advantageous.
Machine Learning & AI Frameworks : TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers.
Agentic AI & Orchestration : LangChain, LlamaIndex, or similar frameworks for multi-step AI task automation.
Data Engineering : SQL, Spark, Databricks, Airflow, Kafka, ETL / ELT pipeline development.
Programming : Python (primary), plus familiarity with Java, Scala, or R.
Cloud & MLOps : CI / CD, model monitoring, retraining pipelines, containerization (Docker, Kubernetes).
Additional Information
Work Authorization : Permanent Authorization to work in the U.S. is a precondition of employment for this position. Visa will not sponsor applicants for work visas in connection with this position.
Work Hours : Varies upon the needs of the department.
Travel Requirements : This position requires travel5-10% 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 protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.
U.S. APPLICANTS ONLY : The estimated salary range for a new hire into this position is 180,600.00 to 262,150.00 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.
Ai Transformation Manager • Foster City, CA, United States