Manager, Special Projects

Accountabilities:

• • Design, build, and maintain scalable data pipelines and ETL processes that consolidate commercial data from multiple source systems into a trusted source of truth.
  • Develop and automate reporting for core commercial KPIs, including pipeline, bookings, retention, productivity, and other revenue metrics.
  • Drive improvements to the Revenue Operations analytics ecosystem through scalable data infrastructure, automation, self-service reporting, and standardized processes.
  • Lead technical planning and execution for complex data platform initiatives, balancing immediate business priorities with long-term scalability and maintainability.
  • Identify opportunities to use AI and automation to improve reporting efficiency, data accessibility, and operational decision-making.
  • Establish best practices for data governance, metric standardization, reporting automation, and analytics platform management.
  • Support headcount and capacity planning while partnering with Sales Compensation to accurately model quotas, territories, compensation plans, and related downstream data.
  • Analyze sales representative productivity and identify opportunities to improve seller performance, ramp time, and operational efficiency.
  • Build and maintain dashboards and self-service reporting tools that enable faster, more confident decision-making across commercial teams.
  • Proactively investigate and resolve data quality issues while implementing monitoring and validation processes to improve trust and consistency in reporting.
  • Partner with Go-to-Market Intelligence, Business Analytics, Sales, Marketing, Finance, and other stakeholders to translate business questions into scalable data models and reporting solutions.
  • Mentor team members and contribute technical direction to create a scalable, high-performing analytics function.

  Requirements:

  • 6–10+ years of experience in analytics, business intelligence, Revenue Operations, Sales Operations, or another data-focused discipline.
  • Hands-on experience building ETL pipelines and working with modern data warehouses or data lakes such as Snowflake, Redshift, BigQuery, Databricks, dbt, or similar technologies.
  • Strong SQL expertise and experience working with complex commercial datasets.
  • Proven experience developing analytics solutions for Revenue Operations, including sales performance reporting, KPI frameworks, pipeline analytics, forecasting, and executive-level insights.
  • Experience with Python or another scripting language and familiarity with BI platforms such as Tableau, Looker, Power BI, or Sigma is a plus.
  • Strong understanding of Salesforce and core sales processes, including pipeline stages, forecasting, territory management, and quota management.
  • Solid knowledge of SaaS and commercial metrics such as pipeline, bookings, ARR, churn, and rep productivity, as well as exposure to capacity planning and sales compensation.
  • Demonstrated ability to translate business requirements into scalable data models, KPI frameworks, dashboards, and reporting solutions.
  • Experience leading complex cross-functional analytics initiatives and influencing senior stakeholders without direct authority.
  • Strong technical judgment and the ability to establish scalable data practices, standardized metrics, and reporting frameworks.
  • Excellent problem-solving skills with the ability to bring structure and clarity to ambiguous, data-intensive challenges.
  • Strong communication skills and the ability to explain technical concepts and analytical insights to non-technical stakeholders.
  • A proactive, improvement-oriented mindset with an interest in using AI and automation to enhance analytics workflows and business operations.

  Benefits:

  • Base compensation range of $150,000–$180,000 USD.
  • Performance-based bonus opportunities.
  • Equity participation.
  • Generous and comprehensive benefits program.
  • Opportunity to work on high-impact Revenue Operations and commercial analytics initiatives.
  • Exposure to senior stakeholders across Sales, Marketing, Finance, and go-to-market functions.
  • Opportunity to modernize analytics infrastructure and introduce scalable, self-service, and AI-enabled solutions.
  • Career growth opportunities within a fast-growing, technology-driven environment.
  • Remote work within the United States.