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Senior Manager, Data Product Manager

Visa

$129,200 - $187,350
Dec 29, 2025
San Francisco, CA, US
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Visa is looking to define product strategy, direction, and outcomes for cross-domain initiatives within the Finance Data Platform, owning the product development lifecycle for platform-level data products from concept to adoption.

Requirements

  • Strong hands-on expertise with Spark SQL.
  • Experience with Hadoop, Databricks, and Snowflake in enterprise environments.
  • Solid understanding of cloud data architectures (AWS preferred).
  • Familiarity with BI and analytics tooling (Tableau, Power BI).
  • Hands-on or product-level experience enabling AI/ML features in data products.
  • Familiarity with modern AI/ML platforms and GenAI tools as listed above.
  • Strong hands-on understanding of: Spark SQL, Hadoop ecosystems (Hive, HDFS, Spark), Databricks (Delta Lake, Unity Catalog), Snowflake (performance optimization, data sharing).

Responsibilities

  • Own and drive the end-to-end Product Development Lifecycle (PDLC) for Finance Data Platform initiatives: discovery, definition, build, validation, and adoption.
  • Define product vision, value propositions, success metrics, and phased roadmaps for cross-domain data products.
  • Clearly articulate product scope, user stories, and acceptance criteria that reflect Finance business outcomes and technical standards.
  • Drive product strategy aligned to Finance priorities, platform maturity, and AI enablement goals.
  • Define and operationalize the engagement model for how Finance teams interact with the Finance Data Platform (intake, prioritization, delivery, and adoption).
  • Engage deeply in technical design discussions and validate feasibility of product requirements.
  • Ensure products are designed for scale, performance, auditability, and downstream analytics (Tableau, Power BI).

Other

  • 8-12+ years in Data Product Management, Data Platform, or Finance Analytics roles.
  • Proven success operating as an individual driving cross-functional initiatives.
  • Demonstrated ownership of product development lifecycles for data or platform products.
  • Exceptional presentation and communication skills.
  • Ability to drive product strategy and alignment at Director and VP levels.