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[Remote] Revenue Technology - Data Strategy & Operations Lead
Note: The job is a remote job and is open to candidates in USA. Mercury is redefining banking for ambitious companies and is seeking a Data Strategy & Operations leader to own the data foundations that power revenue execution. This role focuses on ensuring that revenue data is reliable, interpretable, scalable, and usable as the business evolves, and requires close collaboration with various teams to shape how data is modeled and operationalized.
Responsibilities
- Own the definition, structure, and reliability of data originating from revenue platforms (e.g., Salesforce, GTM tools, automation systems)
- 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
Skills
- Have 7+ years of experience in data engineering or data systems roles within SaaS or technology companies
- Have deep experience designing and operating production data pipelines
- Be highly proficient in SQL and experienced in data modeling
- Have hands-on experience with modern data stacks (e.g., Snowflake, BigQuery, Redshift)
- Have experience with ETL / ELT tooling (e.g., dbt, Airflow, Census, or similar)
- Understand Salesforce data models and common GTM system architectures
- Be able to translate business concepts into durable, well-structured data models
- Communicate clearly with both technical and non-technical partners
- Experience supporting revenue, sales, or customer lifecycle data
- Familiarity with event-based data platforms (e.g., 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
- The total rewards package at Mercury includes base salary, equity, and benefits.
- Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry.
- New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.
- Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer.
- We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs.
- If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.
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