Jennifer Bruno

Developed data-informed business hypotheses and secured executive/board buy-in for experimentation with immediate revenue impact. Built 1–5 year forecasts and an operating cadence using leading and lagging indicators to surface growth opportunities across affiliate, lists/awards, and digital subscription businesses.

Drove 170% YoY revenue growth and exceeded targets by 40% for Forbes Vetted. Built scenario and pacing forecasts, introduced a hypothesis-driven MVP process, and scaled self-service analytics via Looker and Google Sheets while leading a team of 6 analysts and indirectly supporting 8 cross-functional partners.

Owned the roadmap for data, AI, and ML-powered tools in Forbes’ proprietary CMS, including SEO scoring, content and image recommendations, auto-generated headlines, and performance dashboards. Defined the data engineering roadmap for pipeline architecture, data modeling and materialization strategy, and BigQuery warehouse management.

Owned Revenue and Data roadmaps, setting KPIs and forecasting impact across Direct, Programmatic, and Commerce businesses. Oversaw data engineering for data ingestions, recommendation algorithms, warehouse management, and A/B testing, and managed a 4-person product and analytics team.

Managed roadmaps for data ingestions, warehouse operations, on-platform recirculation algorithms, and A/B tests. Architected and launched Looker from the ground up, driving adoption and establishing it as the organization’s primary self-service analytics platform.

Developed an SEO scorecard to reduce editorial overhead and launched a branded content platform enabling marketing and sales teams to create sponsored content. Led development of a distribution pipeline for 6 brands to Apple News and defined the Recipe model used by Epicurious, Bon Appetit, and SELF.

Earned a B.S. in International Business at the University of North Carolina at Greensboro.

Completed a study abroad program focused on Marketing & Management at Universität Mannheim.