Director of Business Intelligence

<p><strong>CD Baby</strong> is a globally recognized leader in the music industry and the first platform to offer artists direct distribution to their fans. As we navigate the next era of music technology, we are committed to modernizing our core systems, fostering an agile culture, and leveraging cutting-edge platforms to better serve our artists, partners, and fans worldwide.&nbsp;</p> <p><em><strong>This hybrid role can be based in our Los Angeles (preferably), Nashville, or New York City office location.</strong></em></p> <p><strong>The Role:</strong></p> <p>As Director of Business Intelligence, you will define and own the strategy and roadmap for making data accessible, trusted, and actionable across CD Baby. You’ll establish the metrics that matter most, drive data normalization across teams, and build the infrastructure that enables self-service insights at scale. You will partner closely with Product, Marketing, Finance, Data Engineering and stakeholders across the company to prioritize the highest-impact KPIs, ensure consistent definitions across the organization, and embed data into how decisions get made. This role is both strategic and hands-on: you’ll architect the BI function while also building dashboards, leading analyses, and translating complex data into clear business recommendations.</p> <h3><strong>What you'll be doing:</strong></h3> <p><strong>Define the BI Strategy &amp; Roadmap</strong><br>• Establish a company-wide BI vision and multi-quarter roadmap.<br>• Standardize core metrics and KPIs across business, product and technology teams<br>• Prioritize the highest-impact insights that drive growth, retention, and artist success<br>• Build scalable reporting layers and self-service infrastructure that reduce ad hoc dependency<br>• Evaluate and deploy AI-enabled analytics tools that scale insight generation and reduce dependency on manual reporting</p> <p><strong>Drive Customer &amp; Product Insights</strong><br>• Lead segmentation, cohort analysis, lifetime value modeling, and churn analysis.<br>• Identify growth opportunities, at-risk artists, and high-value segments.<br>• Define and measure success metrics for new product and feature launches.<br>• Support experimentation and A/B testing with rigorous statistical analysis</p> <p><strong>Build Data Analytics Infrastructure</strong><br>• Partner with Data Engineering to continuously improve data quality, modeling, and&nbsp;governance<br>• Ensure reliable, well-documented reporting pipelines in cloud data warehouses (e.g.,&nbsp;Snowflake)<br>• Translate complex datasets into clear, executive-ready narratives<br>• Implement natural language and AI-assisted query tools that allow non-technical&a