Revenue Technology - Data Strategy & Operations Lead

About the Role

Mercury is a fintech company that is redefining banking for ambitious companies. Behind every great financial platform is a data system that people can actually trust. As Mercury scales, its revenue systems generate an enormous amount of information, and turning that activity into clear, reliable intelligence is critical to the company's growth.

The Data Strategy & Operations Lead will report to the Head of Platforms & Infrastructure and will partner closely with Data Engineering, Data Science, Solution Architecture, Platform Engineering, and other stakeholders to ensure that revenue data is accurate, consistent, and actionable.

What You Will Do

• Own the definition, structure, and reliability of data originating from revenue platforms, such as Salesforce and GTM tools
• Serve as the primary decision owner for GTM-sourced tables and views used for revenue execution, forecasting inputs, lifecycle tracking, and signal-based workflows
• Design and evolve core GTM data models across Salesforce, ETL, and analytics layers
• Partner with Data Engineering to align GTM schemas with enterprise data models and define clear data contracts between source systems and downstream consumers
• Partner with Data Science / Analytics to ensure revenue data is interpretable, statistically sound, and reflects how the business actually operates
• Own clarity around data ownership boundaries, shared dependencies, and escalation paths when upstream or downstream changes impact revenue integrity
• Define and uphold data quality, freshness, consistency, and documentation standards for revenue platforms
• Monitor and improve pipeline reliability, performance, and scalability, proactively identifying fragile or redundant transformations
• Identify opportunities to automate manual or error-prone data workflows and reduce operational overhead
• Act as a data thought partner to Platforms & Infrastructure, Revenue Operations, Analytics, and Security — advising on feasibility, tradeoffs, and sequencing for data-heavy initiatives

What We Are Looking For

• 7+ years of experience in data engineering or data systems roles within SaaS or technology companies
• Deep experience designing and operating production data pipelines
• High proficiency in SQL and experience in data modeling
• Hands-on experience with modern data stacks, such as Snowflake, BigQuery, or Redshift
• Experience with ETL / ELT tooling, such as dbt, Airflow, Census, or similar
• Understanding of Salesforce data models and common GTM system architectures
• Ability to translate business concepts into durable, well-structured data models
• Excellent communication skills to work with both technical and non-technical partners

Nice to Have

• Experience supporting revenue, sales, or customer lifecycle data
• Familiarity with event-based data platforms, such as Data Cloud or equivalents
• Experience working alongside platform engineering and security teams
• Exposure to data governance, access controls, and compliance considerations
• Experience mentoring or guiding other data practitioners

Benefits and Perks

• Competitive base salary
• Equity in a growing fintech company
• Comprehensive health insurance
• Generous PTO policy
• Remote work stipend
• Opportunities for professional growth and development
• Collaborative and dynamic work environment

• Ensure your resume and cover letter highlight specific examples of designing and operating production data pipelines, as well as experience with GTM and Salesforce.
• Prepare to discuss your approach to data modeling, pipeline reliability, and data quality during the interview.
• Showcase your ability to communicate complex data concepts to both technical and non-technical stakeholders through clear, concise language.
• Demonstrate your understanding of the fintech industry and the role of data in driving revenue growth.
• Be prepared to discuss your experience with data governance, access controls, and compliance considerations.
• Highlight any experience you have with event-based data platforms, such as Data Cloud or equivalents, and how you can apply that knowledge to this role.
• Show enthusiasm for the fintech industry and Mercury's mission to redefine banking for ambitious companies.