Visa is looking to build the next generation of scalable and responsible AI/ML infrastructure to empower products that address real-world client and consumer challenges, focusing on migrating on-premises platforms to the cloud and driving adoption of tools that deliver measurable value across the payment ecosystem.
Requirements
- Apply hands-on experience in designing cloud-native architectures and enterprise applications on platforms such as AWS, GCP, or Azure.
- Deep understanding of AI and Machine Learning concepts, with emphasis on platforms and tools that enable AI/ML product development.
- Hands-on experience with AI/ML cloud stacks and large-scale enterprise systems.
- Strong background in data science, deep learning models, cloud computing, and big data technologies.
- Proficiency in Agile development practices and experience working with Scrum teams in matrixed environments.
- Familiarity with Agile tools such as Confluence, JIRA, and Tableau.
- Advanced proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Project, SharePoint).
Responsibilities
- Drive the platform vision and roadmap, ensuring alignment with Visa’s broader data, AI/ML and business strategies.
- Own the product definition and implementation of the AI/ML stack across both on-premises and cloud environments.
- Conceptualize, develop, and launch model-based solution and AI-powered products at the intersection of payments and technology.
- Define detailed platform requirements, acceptance criteria, and success metrics (e.g., SLAs, operational targets).
- Apply hands-on experience in designing cloud-native architectures and enterprise applications on platforms such as AWS, GCP, or Azure.
- Lead grooming sessions and facilitate collaboration across product, data science, and engineering teams.
- Represent product management in engagements with public cloud providers (e.g., AWS SageMaker, Google Vertex AI, Microsoft Azure ML) and internal Visa teams.
Other
- Lead cross-functional teams of product managers, data scientists, and engineers in a matrix organization.
- Foster a culture of innovation, excellence, and accountability across the platform and product organizations.
- Provide thought leadership in the Account-to-Account (A2A) product portfolio, guiding strategy and execution of model-based solutions.
- Liaise with business units, product leaders, and engineering teams to ensure alignment and flawless execution.
- Communicate regularly with senior leadership and stakeholders to share progress, gather input, and drive consensus.
