Head of Data and Revenue Intelligence

Summary

Join Fundraise Up as the Head of Data & Revenue Intelligence, leading the end-to-end data strategy and building a unified data function. You will be responsible for driving smarter go-to-market execution, revenue forecasting, customer insights, and competitive positioning. This high-impact role bridges revenue, product, and strategic planning, influencing decisions from tactical funnel conversion to long-term market strategy. The position requires strong analytical skills, experience with AARRR funnel frameworks, and proficiency with various data tools and platforms. You will lead a team, develop data architecture, and translate complex data into actionable insights for executive decision-making. The role offers a competitive salary and benefits package, including health insurance, paid time off, and remote work options.

Requirements

• 8–12+ years of experience in analytics, revenue operations, or data leadership roles, ideally within high-growth B2B SaaS or marketplace companies
• Proven track record of building and leading high-performing teams across analytics, ops, and data engineering
• Deep knowledge of Salesforce, GTM tools, CRM analytics, and BI platforms (e.g., Looker, Tableau, PowerBI)
• Experience with AARRR funnel frameworks and GTM performance measurement
• Strong analytical modeling experience, including TAM/SAM frameworks, PMF evaluation, and market share estimation
• Proficiency with SQL or equivalent data querying, or experience leading technical teams that build data pipelines

Responsibilities

• Build and lead the Revenue Intelligence function, owning the strategy, team, and roadmap across analytics, tooling, and governance
• Lead development of a centralized data architecture and reporting ecosystem, integrating sources like Salesforce, product usage data, and BI platforms (e.g., Looker, Tableau)
• Drive pipeline analytics, sales performance tracking, and forecasting accuracy for GTM leaders
• Lead end-to-end analysis of the AARR funnel (Acquisition, Activation, Retention, Referral, Revenue) to identify conversion and engagement opportunities
• Create and maintain TAM/SAM/SOM models to support market sizing, segmentation, and strategic planning
• Conduct PMF (Product-Market Fit) assessments using customer usage, NPS, and engagement data to guide positioning and product strategy
• Deliver market share analytics and competitor benchmarks to inform positioning and growth potential
• Partner cross-functionally with Finance, Product, and Marketing on strategic planning, pricing strategy, and go-to-market optimization
• Champion data quality and governance, ensuring teams operate from a single source of truth
• Translate complex data into clear, compelling executive insights that drive action and alignment

Preferred Qualifications

• Business-first mindset with excellent communication skills; comfortable influencing C-level stakeholders
• Experience working cross-functionally across Sales, Marketing, Finance, and Product teams
• High bias for action, with the ability to bring structure to ambiguity and drive results through data

Benefits

• Health, Dental, and Vision insurance covered at 100% for employees, 80% for employee plus dependents, and 70% for employees plus family
• FSA Spending Account
• Remote or Hybrid work. Our teams are spread globally
• 15 days of vacation, 7 company holidays plus an additional 3 floating holidays and 5 sick days
• 401(k) plan with company match
• 100% Company-paid short-term disability, long-term disability, basic life insurance and AD&D
• Paid parental leave (12/6 weeks)