Visa · 2 days ago
Senior Manager, Data Product Manager
Austin, TX
Full-time
Hybrid
Senior Level, Lead/Staff, Director/Executive
$116K/yr - $186K/yr
8+ years expVisa is a world leader in payments technology, facilitating transactions globally. The Senior Manager, Data Product Manager role is responsible for defining product strategy and managing the product development lifecycle for cross-domain initiatives within the Finance Data Platform, ensuring alignment with Finance priorities and AI readiness.
BankingFinanceFinancial ServicesInformation TechnologyMobile PaymentsPayments
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
This role does not manage delivery tracking or tooling but ensures delivery teams have strong product direction
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
Bring strong hands-on understanding of:
Spark SQL
Hadoop ecosystems (Hive, HDFS, Spark)
Databricks (Delta Lake, Unity Catalog)
Snowflake (performance optimization, data sharing)
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
Leverage prior experience enabling AI/ML in products using tools such as:
Databricks MLflow
Databricks Feature Store
AWS SageMaker
Snowflake Cortex
OpenAI / Azure OpenAI
Vector databases (e.g., Pinecone, FAISS)
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
Qualification
Required
5 or more years of relevant work experience with a Bachelors Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD
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
Preferred
6 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD
Benefits
Medical
Dental
Vision
401 (k)
FSA/HSA
Life Insurance
Paid Time Off
Wellness Program
Company
Visa
Visa is a multinational financial services company that facilitates electronic payment systems throughout the world.
10001+ employees
H1B Sponsorship
Visa has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (459)
2024 (424)
2023 (416)
2022 (515)
2021 (351)
2020 (407)
Funding
Current Stage
Public CompanyTotal Funding
unknownKey Investors
TNB Financial Services
2016-09-10Post Ipo Equity
2008-03-19IPO
Leadership Team
Ryan McInerney
Chief Executive Officer
Chris Suh
EVP & Chief Financial Officer
Recent News
Electronic Payments International
2026-01-17
2026-01-17
2026-01-17
Company data provided by crunchbase