Head of Revenue Intelligence

Responsibilities

• Define, standardize, and own the core business metrics and KPIs across the Revenue organization
• Build automated executive reporting interfaces that provide visibility into intra-quarter KPI pacing and core sales performance
• Lead deep-dive strategic analytics to uncover hidden performance bottlenecks, expansion opportunities, and pipeline anomalies
• Partner with Data Engineering and BI teams to drive the cross-functional coordination of the corporate revenue data model roadmap, ensuring backend infrastructure supports executive reporting needs
• Develop our sales experimentation framework
• Field, prioritize, and execute high-priority ad-hoc data pulls and data validation requests for executive and board-level reporting
• Act as the analytical gatekeeper, ensuring all commercial dashboards, attribution models, and revenue reports are accurate and reliable
• Translate analytical findings into executive-level presentations, delivering actionable strategic recommendations to company leadership

Requirements

• 7+ years of experience in sales analytics, revenue intelligence, business intelligence, or corporate data analytics; leadership or team management experience preferred
• Expert proficiency in SQL and data visualization tools (Looker preferred) with a proven track record of designing executive-facing dashboards
• Proven experience designing complex data visualization models specifically tracking business performance indicators like enterprise KPI pacing, pipeline coverage, and territory performance metrics
• Strong foundational knowledge of statistical analysis and experimentation methodologies (A/B testing, hypothesis testing, regression analysis)
• Demonstrated mastery in translating complex data sets into highly digestible, strategic narratives for non-technical executives
• Proven experience coordinating with backend technical groups (Data Engineers, Warehouse Architects) to build business-ready data assets

Qualifications

• Highly curious and results-oriented
• Master storyteller with data, capable of extracting narrative insights from messy, disparate datasets
• Willing to roll up their sleeves to write advanced SQL or build complex financial models
• Maintain the macro view needed to design a multi-quarter data roadmap
• Loves proving or disproving business hypotheses through data, optimizing the unit economics of the business, and building a culture of data-driven experimentation across the customer lifecycle