Revenue Technology – Data Strategy & Operations Lead

Job Duties

• Own the definition, structure, and reliability of data originating from revenue platforms including Salesforce and automation systems.

• Serve as the primary decision owner for GTM-sourced tables and views used for forecasting, lifecycle tracking, and signal-based workflows.

• Design and evolve core GTM data models across Salesforce, ETL layers, and analytics platforms.

• Partner with Data Engineering to align GTM schemas with enterprise models and define clear data contracts for downstream consumers.

• Collaborate with Data Science and Analytics teams to ensure revenue data is statistically sound and reflects actual business operations.

• Establish clear data ownership boundaries and escalation paths to maintain revenue data integrity during system changes.

• Define and uphold rigorous standards for data quality, freshness, consistency, and documentation across revenue platforms.

• Monitor and improve pipeline performance and scalability while proactively identifying and fixing fragile transformations.

• Identify opportunities to automate manual data workflows to reduce operational overhead and human error.

• Advise Platforms, Revenue Operations, and Security teams on the technical feasibility and sequencing of data-heavy initiatives.

Requirements

• Demonstrate 7+ years of experience in data engineering or data systems roles within the SaaS or technology sector.

• Operate production-grade data pipelines with a deep understanding of reliability and scalability.

• Apply high-level proficiency in SQL and advanced data modeling techniques to complex business problems.

• Utilize modern data stacks such as Snowflake, BigQuery, or Redshift in a hands-on capacity.

• Manage ETL and ELT processes using industry-standard tooling like dbt, Airflow, or Census.

• Navigate Salesforce data models and common Go-To-Market system architectures effectively.

• Translate abstract business concepts into durable, well-structured, and interpretable data models.

• Communicate technical data strategies clearly to both engineering partners and non-technical business stakeholders.

Qualifications

• Possess a proven track record in supporting revenue, sales, or customer lifecycle data systems.

• Maintain familiarity with event-based data platforms and Data Cloud equivalents.

• Demonstrate experience working alongside platform engineering and security teams on access controls and compliance.

• Mentor or guide other data practitioners in best practices for data governance and modeling.