Senior Director, Revenue Data & Analytics

Madhive is the leading independent and fully customizable operating system built to help local media professionals build profitable, differentiated, and efficient businesses. Madhive empowers sales teams to extend their reach into streaming and connects local advertisers with the communities they serve. Madhive’s platform provides the unique ability to reach local audiences at national scale, with premium supply partnerships and end-to-end tools for planning, targeting, and measuring full-funnel campaign outcomes. Powering campaigns for over 30,000 small and medium businesses per day, Madhive is driving the evolution of local media. 

The Senior Director, Revenue Data & Analytics will be responsible for driving a culture of data-driven decision making at MadHive in support of the Sales, Client Services, Finance, Revenue Analysis/Operations, Product, and GTM teams.

This role requires working cross-functionally to understand evolving business needs deeply. You will be responsible for designing and developing insights capabilities, experiments, presentations, and models to guide the strategic decision making of senior and executive stakeholders. You will also be expected to use advanced analytics techniques to surface insights, guide business decisions, and proactively identify opportunities and threats.

This is a hybrid role, working 2-3 days a week at Madhive HQ in the Financial District of New York City.

What you'll do:

• Surface insights from multiple data sources to support complex operational decision making. Execute and/or coordinate critical, advanced analytics initiatives providing an interpretation of findings and the implications to MadHive

• Provide analysis of key performance indicators (KPIs) and success metrics across various business areas and develop actionable insights for leadership.

• Influence MadHive leadership by proactively seeking and framing opportunities and identifying business risks.

• Develop solutions that deliver critical data-driven insights and decision metrics proactively and at scale.

• Manage multi-tiered team of BI/Data Analysis professionals, providing feedback in a timely manner to help advance their skill sets  

• Participate in cross-functional teams whose members include Sales, Client Success, Revenue, AdOperations, and Finance.

• Provide transformational thought leadership for analytics including advanced data modeling, predictive modeling, and analytical techniques.

Key Responsibilities

Product & Engineering Enablement: 

• Defining platform KPIs and driving embedded analytics features.

• Build and maintain models that analyze pacing, delivery, frequency capping, and bidding strategies.

• Provide attribution insights across channels to inform full-funnel performance strategies.

Executive & Business Intelligence: 

• Creating dashboards  track client adoption, feature utilization, campaign efficiency, and monetization trends.

• Deliver strategic insights that inform go-to-market plans, pricing, and roadmap prioritization.

Workflow & Operational Analytics: 

• Optimizing campaign handoff processes and identifying automation opportunities.

Sales & Marketing Collaboration: 

• Supporting sales with pre-sales data and providing marketing with campaign insights.

• Build tooling that helps reps communicate platform value using performance and trend data.

Customer Success & Media Strategy Support: 

• Developing client-ready reporting and campaign intelligence reports.

• Partner with CS to turn complex data into digestible narratives that support upsell and renewal conversations.

• Designing self-serve tools, training materials and visualizations for clients.

Strategic Client Engagements: 

• Join key client conversations to present insights, forecasts, or custom research.

• Provide vertical-specific intelligence (e.g., CPG vs. Auto vs. Retail) to support tailored media and sales strategies.

Who you are:

• Bachelor's degree in a quantitative or scientific field (Economics, Finance, Statistics, Mathematics, Computer Science, Physics, etc.) or equivalent experience

• 8+ years of analytical experience in quantitative and statistical analysis; demonstrated proficiency in applying this experience to address business problems and to aid decision making

• Prior experience creating and monitoring success metrics, performing experiments, and effectively communicating resu