Head of Revenue Intelligence

The RealReal•Remote - California, CA

2d•$200,000 - $220,000

About The Position

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. You will be responsible for defining and owning the core business metrics, driving the revenue data model roadmap, and establishing an experimentation and measurement strategy for our sales motions. You will build dynamic, source-of-truth reporting to ensure leadership has real-time visibility into KPI pacing, territory-level execution, and foundational pipeline health. Responsibilities will range from high-level strategic planning to tactical execution. You will drive cross-functional alignment between the data warehouse teams, business intelligence, and commercial leaders to ensure the revenue organization operates on a single source of the truth. 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 are a master storyteller with data, capable of translating complex cohort analysis, geo-territory dynamics, or behavioral metrics into simple, strategic recommendations for executive leadership. You are someone who is willing to roll up their sleeves to write advanced SQL or build complex financial models, while simultaneously maintaining the macro view needed to design a multi-quarter data roadmap. You love 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.

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

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.