Director, Revenue Intelligence

About the Role

Key Responsibilities

• Lead the development and execution of a comprehensive advertising data strategy in partnership with Ad Innovation, Revenue Strategy, Data Product, and other cross-functional teams.
• Drive cross functional projects including Site experience evaluation and Ad revenue modeling.
• Serve as the subject matter expert on advertising metrics, systems, and workflows.
• Ensure cross-functional alignment on data collection, reporting structures, and metric definitions.
• Architect and implement a Holistic Yield strategy that spans across direct and programmatic channels.
• Define best practices around yield measurement, reporting, and performance monitoring.
• Analyze ad product performance, produce regular reports and dashboards, and guide the product roadmap based on insights.
• Partner with Yield, Ops, and Product teams to inform decisions about product development and optimization.
• Translate business objectives into detailed data requirements and reporting frameworks.
• Act as the GTM (Go-To-Market) partner for Ad Innovation, providing performance forecasts and modeling for new product launches.
• Manage the advertising metrics dictionary and data integrity standards across departments.
• Build, maintain, and enhance dashboards and recurring reports (e.g., Quarterly Business Reviews, Capacity Reports, Video Reporting).
• Create scalable, automated workflows to handle data requests, ad hoc analysis, and strategic priorities.
• Manage a team of analysts.
• Audit and refine all advertising data pipelines and reporting assets to ensure accuracy, consistency, and compliance.
• Drive cross-functional knowledge sharing and training initiatives for analysts and stakeholders.
• Collaborate with internal and third-party data teams to troubleshoot and improve dashboards and models.
• Own relationships with key data partners such as DataBeat and BI Data stakeholders.

Requirements

• 7+ years of experience in media, advertising, data analytics, or business operations, preferably in a digital media environment.
• Deep understanding of digital advertising ecosystems, including programmatic and direct-sold channels.
• Strong experience with data tools and platforms (e.g., Looker, Tableau, Excel, SQL, BigQuery).
• Proven ability to develop strategies from complex data sets and present insights to senior leadership.
• Experience collaborating with technical and non-technical stakeholders.
• Excellent communication, prioritization, and project management skills.
• Passion for automation, innovation, and building scalable data solutions.

Nice to Have

• Experience with ad revenue modeling and yield optimization.
• Knowledge of advertising metrics and workflows.
• Experience working with cross-functional teams in a fast-paced environment.

Benefits & Perks

• Base salary: $155,000 - $165,000 (dependent on skills, experience, and competencies).
• Additional bonus/commission [if applicable].
• Flexible PTO, 10 paid holidays, and 16 weeks of parental leave.
• Comprehensive medical, dental, and vision insurance plans.
• Matched and vested 401k plan.
• Resources for financial planning guidance, family planning services, mental health support, and Employee Assistance Programs (EAP).
• Additional benefits include commuter benefits, phone reimbursement, gym membership discounts, and more.