The Director of Revenue Data Products is the accountable owner for the end-to-end Revenue data domain within the Finance Data Platform. This role leads strategy and delivery for all FP&A Revenue Drivers Pricing Interchange O2C billings and revenue economics datasets. The Director reports to the Leader of the Finance Data Platform and must coordinate closely with the Director of Finance Data Architecture & Modeling and the Finance Data Governance Director both of whom also report to the same Leader to ensure alignment consistency and integrated data standards across all Finance domains.
This leader drives one of the highest-impact data domains in Finance and must operate with both technical depth and executive presence.
Key Responsibilities:
Domain Strategy & Roadmap Ownership:
- Own the full roadmap for Revenue data products (pricing interchange billings revenue yield and O2C KPIs).
- Align roadmap priorities and investment decisions directly with the Leader of Finance Data Platform.
- Define and maintain the golden revenue semantic layer and global KPI definitions adopted by all Finance teams.
Cross-Domain Alignment & Coordination (core expectation):
Because the Revenue Director is one of several Directors reporting to the Senior Director this role must collaborate continuously with:
- Finance Data Architecture & Modeling Director : Ensure all revenue datasets follow canonical models consistent granularity dimensional alignment and enterprise semantic rules.
- Finance Data Governance Director Steward : Ensure adherence to governed definitions data contracts access policies and data quality SLAs.
- Director/Sr Manager Product Management : Provide transparent updates escalate conflicts ensure cross-domain consistency and align revenue work with the overarching Finance Data Platform operating model.
This ensures no revenue definitions diverge no shadow logic reappears and all domains integrate smoothly.
Data Product Delivery & Cloud Modernization
- Partner with Data Engineering to migrate revenue pipelines from Hadoop to AWS Databricks and Snowflake.
- Oversee the design of scalable Spark Delta Lake and Snowflake models to support forecasting planning and analytics.
- Deliver certified semantic layers for Tableau and Power BI used by global FP&A teams.
- Ensure revenue datasets meet audit lineage reconciliation and AI-readiness standards.
Team Leadership
- Lead a team of 3-4 specialists (Deals SME Pricing SME & Interchange SME Revenue Ops analyst).
- Mentor and build deep domain expertise across the team in partnership with the Senior Director.
- Drive predictable delivery sprint planning execution and issue resolution.
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
Qualifications :
Required Qualifications:
Technical Expertise:
1015 years in Revenue Finance Pricing Interchange O2C or Finance data domains.
Deep experience with Hadoop (Hive Spark Impala HDFS).
Strong experience with AWS (S3 Glue EMR) Databricks (Spark Delta Lake) and Snowflake.
Strong SQL experience designing enterprise semantic layers.
Experience enabling Tableau and Power BI teams with governed datasets.
Product & Leadership Experience:
Ownership of domain-level product roadmaps or enterprise data initiatives.
5 years leading high-performing teams in matrixed data/engineering/finance environments.
Experience managing cross-functional alignment with architecture governance and engineering partners.
Business & Analytical Skills:
Strong knowledge of revenue performance analytics forecasting elasticity and pricing economics.
Ability to translate complex revenue processes into scalable data products.
Executive communication and alignment skills.
Additional Information :
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Remote Work :
No
Employment Type :
Full-time
The Director of Revenue Data Products is the accountable owner for the end-to-end Revenue data domain within the Finance Data Platform. This role leads strategy and delivery for all FP&A Revenue Drivers Pricing Interchange O2C billings and revenue economics datasets. The Director reports to the Lead...
The Director of Revenue Data Products is the accountable owner for the end-to-end Revenue data domain within the Finance Data Platform. This role leads strategy and delivery for all FP&A Revenue Drivers Pricing Interchange O2C billings and revenue economics datasets. The Director reports to the Leader of the Finance Data Platform and must coordinate closely with the Director of Finance Data Architecture & Modeling and the Finance Data Governance Director both of whom also report to the same Leader to ensure alignment consistency and integrated data standards across all Finance domains.
This leader drives one of the highest-impact data domains in Finance and must operate with both technical depth and executive presence.
Key Responsibilities:
Domain Strategy & Roadmap Ownership:
- Own the full roadmap for Revenue data products (pricing interchange billings revenue yield and O2C KPIs).
- Align roadmap priorities and investment decisions directly with the Leader of Finance Data Platform.
- Define and maintain the golden revenue semantic layer and global KPI definitions adopted by all Finance teams.
Cross-Domain Alignment & Coordination (core expectation):
Because the Revenue Director is one of several Directors reporting to the Senior Director this role must collaborate continuously with:
- Finance Data Architecture & Modeling Director : Ensure all revenue datasets follow canonical models consistent granularity dimensional alignment and enterprise semantic rules.
- Finance Data Governance Director Steward : Ensure adherence to governed definitions data contracts access policies and data quality SLAs.
- Director/Sr Manager Product Management : Provide transparent updates escalate conflicts ensure cross-domain consistency and align revenue work with the overarching Finance Data Platform operating model.
This ensures no revenue definitions diverge no shadow logic reappears and all domains integrate smoothly.
Data Product Delivery & Cloud Modernization
- Partner with Data Engineering to migrate revenue pipelines from Hadoop to AWS Databricks and Snowflake.
- Oversee the design of scalable Spark Delta Lake and Snowflake models to support forecasting planning and analytics.
- Deliver certified semantic layers for Tableau and Power BI used by global FP&A teams.
- Ensure revenue datasets meet audit lineage reconciliation and AI-readiness standards.
Team Leadership
- Lead a team of 3-4 specialists (Deals SME Pricing SME & Interchange SME Revenue Ops analyst).
- Mentor and build deep domain expertise across the team in partnership with the Senior Director.
- Drive predictable delivery sprint planning execution and issue resolution.
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
Qualifications :
Required Qualifications:
Technical Expertise:
1015 years in Revenue Finance Pricing Interchange O2C or Finance data domains.
Deep experience with Hadoop (Hive Spark Impala HDFS).
Strong experience with AWS (S3 Glue EMR) Databricks (Spark Delta Lake) and Snowflake.
Strong SQL experience designing enterprise semantic layers.
Experience enabling Tableau and Power BI teams with governed datasets.
Product & Leadership Experience:
Ownership of domain-level product roadmaps or enterprise data initiatives.
5 years leading high-performing teams in matrixed data/engineering/finance environments.
Experience managing cross-functional alignment with architecture governance and engineering partners.
Business & Analytical Skills:
Strong knowledge of revenue performance analytics forecasting elasticity and pricing economics.
Ability to translate complex revenue processes into scalable data products.
Executive communication and alignment skills.
Additional Information :
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Remote Work :
No
Employment Type :
Full-time
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