Visa is looking to solve the problem of migrating on-premises platforms to the cloud and driving adoption of tools that deliver measurable value across the payment ecosystem, while also preventing fraud within the payments landscape and delivering high value to clients and consumers.
Requirements
- 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).
- Experience working in highly technical and rapidly evolving AI/ML environments.
Responsibilities
- Drive the platform vision and roadmap, ensuring alignment with Visa’s broader data, AI/ML and business strategies.
- 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.
- Ensure platform capabilities support model risk management, onboarding, and compliance.
- Oversee platform development, ensuring alignment with timelines, quality standards, and strategic goals.
- 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).
Other
- 12 or more years of work experience with a bachelor’s degree, or at least 10 years of work experience with an advanced degree (e.g., Master’s/MBA/JD/MD), or a minimum of 8 years of work experience with a PhD.
- Minimum of 10 years in product management, with a strong track record of launching and managing product releases within matrixed organizations.
- Strong business acumen with the ability to align AI/ML capabilities to strategic outcomes in financial services, payments, and card industries.
- Travel 5-10% of the time.
- Work in an office setting with varying hours.
