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SeniorFull-timeData ScienceAgileAIML
Salary Range
$143,650 - $194,350 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Product Manager to lead the development, delivery, and life-cycle management of Visa’s Data Production capabilities, including data processing pipelines and real-time data streaming platforms. This role is central to advancing Visa’s foundational data ecosystem and accelerating the company’s cloud-first, modern data transformation strategy.
Key Responsibilities
- →Develop and execute product strategies for foundational payment data assets aligned with Visa’s global data vision and enterprise priorities.
- →Own and maintain the product roadmap for Data Production, ensuring alignment with business objectives and platform modernization initiatives.
- →Lead the evolution of data systems toward cloud-native architectures to improve scalability, agility, performance, reliability, and cost efficiency.
- →Partner with global and regional teams to understand market-specific data needs and ensure platform capabilities meet both local and enterprise business requirements.
- →Engage with stakeholders across engineering, data science, operations, privacy, and governance to capture requirements, validate use cases, and prioritize features.
- →Drive end-to-end product lifecycle activities including requirements, design, backlog management, release planning, and post-launch optimization.
- →Collaborate closely with engineering teams to ensure delivery of scalable, reliable, enterprise-grade data production capabilities.
- →Experiment with emerging data engineering tools and technologies to improve data processing efficiency, automated quality, and platform reliability.
- →Support migration of workloads and applications to modernized and compliant data pipelines and streaming platforms across Visa.
- →Ensure all data products adhere to Visa’s global privacy, security, and data governance policies as well as industry regulations.
- →Proactively identify platform risks, scalability constraints, and operational issues, partnering with engineering and data operations teams for resolution.
- →Promote best practices in product development, agile execution, and continuous improvement across the data product ecosystem.
Requirements
- ✓Experience in product management, particularly in data or technology domains.
- ✓Strong understanding of data processing pipelines, real-time data streaming, and cloud-native architectures.
- ✓Ability to develop and execute product strategies aligned with business objectives.
- ✓Experience working with engineering, data science, and business intelligence teams.
- ✓Knowledge of data governance, privacy, and security policies.
- ✓Excellent communication and stakeholder management skills.
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