Manager, Revenue Operations
New
Fully remote work within the United States (50 states + DC)Full-TimeManager
Salary120,000 USD per year
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Job Details
- Experience
- 5+ years
- Required Skills
- Business IntelligenceSalesforceMicrosoft ExcelData visualizationCRMFinancial analysisGoogle Sheets
Requirements
- 5+ years of experience in revenue operations, financial analysis, business intelligence, or related analytical roles.
- Proven experience building and maintaining forecasting models used for executive decision-making.
- Strong Salesforce or CRM expertise, including data governance and system optimization.
- Advanced proficiency in Excel or Google Sheets, including complex modeling and scenario analysis.
- Experience working across finance, operations, or partnerships teams in a cross-functional environment.
- Strong ability to translate data into insights and recommendations for non-technical audiences.
- Demonstrated ability to manage multiple analytical workstreams in ambiguous or evolving environments.
- Strong communication skills with a proactive approach to surfacing risks and opportunities.
- Experience with data visualization tools (e.g., Tableau, Looker) is a plus.
- Familiarity with nonprofit, education, or workforce development environments is an advantage.
Responsibilities
- Own and continuously improve AI-enabled revenue forecasting models integrating pipeline, capacity, and program data across revenue streams.
- Develop executive-level reporting and dashboards that provide leadership with real-time visibility into revenue health and performance trends.
- Track forecast vs. actual performance, identifying variances early and delivering clear, actionable insights to stakeholders.
- Support pricing, packaging, and strategic financial modeling in partnership with senior leadership.
- Ensure accurate integration of revenue data across finance, operations, partnerships, and development teams.
- Maintain CRM governance (Salesforce) as the system of record, enforcing data standards and improving data integrity.
- Identify and resolve gaps between reported data and operational reality to improve forecasting accuracy.
- Manage compliance tracking across funding sources, ensuring adherence to partner and grant requirements.
- Monitor partner and program performance metrics to flag risks and protect revenue relationships.
- Translate complex data into clear, accessible insights for non-technical stakeholders and executive leadership.
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