Head of Revenue Intelligence

Role Description

The Head of Revenue Intelligence is a strategic thinker with advanced analytical, statistical, and data modeling skills. In this role, you will partner with the leaders across the Revenue organization to translate raw data into high-impact, actionable business strategy. Responsibilities will include:

• Defining and owning the core business metrics.
• Driving the revenue data model roadmap.
• Establishing an experimentation and measurement strategy for sales motions.
• Building dynamic, source-of-truth reporting for real-time visibility into KPI pacing, territory-level execution, and foundational pipeline health.
• Driving cross-functional alignment between data warehouse teams, business intelligence, and commercial leaders.

As the Head of Revenue Intelligence, you are deeply curious, results-oriented, and possess a strong ability to extract narrative insights from messy, disparate datasets. You will:

• Translate complex cohort analysis, geo-territory dynamics, or behavioral metrics into simple, strategic recommendations for executive leadership.
• Write advanced SQL or build complex financial models while maintaining a macro view for designing a multi-quarter data roadmap.
• Prove or disprove business hypotheses through data and optimize the unit economics of the business.
• Build a culture of data-driven experimentation across the customer lifecycle.

Qualifications

• 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 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.
• High sense of urgency, precision, and the organizational capacity to handle high-stakes ad-hoc requests alongside long-term strategic analytics roadmaps.

Requirements

• 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.
• 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.

Benefits

• The expected salary range for this role is $200,000.00-$220,000.00.
• Salary is just one component of TRR’s total rewards package, which may include a bonus program, incentive pay, and benefits.