Manager, Data Production

Visa Visa · Fintech · Foster City, CA

Product Manager for Visa's Global Data & Platform Services, focusing on data production capabilities including data processing pipelines and real-time data streaming platforms. The role is key to advancing Visa's data ecosystem and cloud transformation strategy, defining product vision, strategy, and roadmaps for core data platform capabilities that power analytics, AI/ML, real-time decisioning, and payment services. Requires collaboration with engineering, data science, and business teams, ensuring scalability, compliance, and performance.

What you'd actually do

  1. Develop and execute product strategies for foundational payment data assets aligned with Visa’s global data vision and enterprise priorities.
  2. Own and maintain the product roadmap for Data Production (data pipelines, orchestration, streaming), ensuring alignment with business objectives and platform modernization initiatives.
  3. Lead the evolution of data systems toward cloud-native architectures to improve scalability, agility, performance, reliability, and cost efficiency.
  4. Partner with global and regional teams to understand market-specific data needs and ensure platform capabilities meet both local and enterprise business requirements.
  5. Drive end‑to‑end product lifecycle activities including requirements, design, backlog management, release planning, and post‑launch optimization.

Skills

Required

  • 3+ years of experience in business or technical product management
  • Hands on familiarity with Big Data and cloud technologies (e.g., Hadoop, Spark, Kafka, cloud data services), relational/NoSQL databases, and SQL.
  • Experience working in Agile/Scrum environments
  • Excellent communication, stakeholder management, negotiation, and leadership skills
  • Strong analytical, problem solving, and creative thinking abilities.
  • Demonstrated ability to collaborate effectively with engineering teams on architecture trade offs, technical feature development, and system design.

Nice to have

  • exposure to large scale data engineering or data science platforms
  • Strong understanding of payment technology ecosystems
  • experience in banking, payments, or financial services data products is highly preferred
  • Advanced degree in a technical or business discipline is a plus.

What the JD emphasized

  • GenAI skills