Senior Manager, Data Product Manager

VisaAustin, TX
4dHybrid

About The Position

The Senior Manager, Data Product Manager role responsible for defining product strategy, direction, and outcomes for cross-domain initiatives within the Finance Data Platform. This role owns the product development lifecycle for platform-level data products from concept and prioritization through delivery and adoption while working in close partnership with Domain Data Product leaders, Data Architecture & Modeling, Data Governance, Engineering, and Program/Project Management. This role establishes the engagement model for how Finance partners with the Finance Data Platform and ensures product clarity, technical alignment, and AI-readiness across all initiatives.

Requirements

  • 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.
  • 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.
  • Exceptional presentation and communication skills.
  • Ability to drive product strategy and alignment at Director and VP levels.
  • Strong decision-making, prioritization, and influence skills.

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).
  • Serve as the primary point of coordination for cross-domain Finance initiatives that span Revenue, Expense, Deals, FP&A, Controllership, Tax, and Treasury.
  • Ensure Finance stakeholders understand what the platform delivers, how to engage, and what standards apply.
  • Partner closely with Program and Project Managers by providing: clear product priorities and sequencing well-defined scope and acceptance criteria dependency context and decision clarity
  • Participate in planning and alignment forums to ensure shared understanding of product intent.
  • Support program updates with product context and outcome-based narratives.
  • Work across Domain Data Product Directors to align shared initiatives and resolve cross-domain dependencies.
  • Partner with the Director – Finance Data Architecture & Modeling to ensure semantic consistency, canonical models, and interoperability.
  • Collaborate with the Director – Finance Data Governance to ensure all products meet governance, quality, and certification standards.
  • 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).
  • Drive AI-readiness of Finance data products through strong feature definition and data quality standards.
  • Partner with Architecture and Governance leaders to ensure explainability, lineage, and responsible AI usage.
  • Translate AI capabilities into tangible Finance use cases (forecasting, anomaly detection, insights automation).
  • Develop and deliver executive-ready presentations articulating: product strategy tradeoffs and sequencing progress and outcomes AI enablement value
  • Influence senior Finance and Technology leaders through clear, structured storytelling.
  • Represent the Finance Data Platform in leadership forums with confidence and clarity.
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