Principal Product Manager, Data & Business Intelligence

Yahoo serves as a trusted guide for hundreds of millions of people globally, helping them achieve their goals online through our portfolio of iconic products. For advertisers, Yahoo Advertising offers omnichannel solutions and powerful data to engage with our brands and deliver results.

Yahoo Search is the front door to the internet for millions of users. Our Product Search Team is the engine that powers this experience, turning trillions of data points into the strategic roadmap for our product's future. We are a high‑impact group that sits at the intersection of engineering and executive strategy, focused on building a world‑class data ecosystem that prizes speed, accuracy, and AI‑driven innovation.

We are seeking a Principal Product Manager, Data & Business Intelligence to shape the future of how data empowers product decisions and prioritization for Yahoo Search. This is not a "dashboard request" role. You will own the strategy and execution for internal BI tools, product insights generation, and data enablement across Yahoo Search. Your mission is to make data both accessible and actionable, and to drive a deep, product‑minded approach to how insights are discovered and applied.

You will work across Data Engineering, Product, Analytics, Finance, and Executive leadership, ensuring we don’t just measure what matters, but generate the right insights to move our business and products forward.

• Own and evolve the vision, roadmap, and strategy for Data Products, BI tooling, and AI‑powered Product Insights.
• Utilize Generative AI and AI‑assisted tools to rapidly prototype and visualize data tools and interfaces, creating realistic mockups that help stakeholders align on the vision before engineering starts building.
• Lead the use of AI to automate repetitive reporting, turning raw data into easy‑to‑read summaries and tools that allow anyone to get answers quickly.
• Partner with Product Management leadership to embed product analytics frameworks (e.g., funnel analysis, cohorting, user engagement models) directly into the product development lifecycle.
• Design and champion a unified Product Metrics Framework – ensuring consistency across teams (activation, retention, engagement, monetization, etc.).
• Create a data environment where AI helps people understand complex information, moving the company from "requesting data" to "interacting with insights."
• Build scalable, intuitive, and high‑trust BI solutions – from automated dashboards to predictive opportunity sizing.
• Deeply understand user needs for reporting, diagnostics, forecasting, and opportunity sizing.
• Prioritize data platform investments that balance immediate BI needs with longer‑term scalability and quality.
• Use AI to automatically spot unusual patterns or trends in our data, alerting the team to business risks or opportunities before they appear in standard reports.
• Define success criteria for insights and reporting adoption – measuring the impact on decision‑making speed and accuracy.
• Stay current on emerging AI tools and proactively suggest improvements to the Yahoo data stack to increase team speed.
• Collaborate with Data Analysts, Data Engineers, and other PMs to raise the bar on data product thinking and AI‑driven validation.
• Act as a visible champion for data‑driven decision making and responsible AI use across the organization.
• Engage executives directly to ensure alignment between strategic priorities and data strategy.

• 8+ years in Product Management roles with a heavy emphasis on Data Products, BI, Analytics, or Internal Platforms.
• Deep technical literacy in SQL, modern BI tools (Google Analytics, Looker, Tableau, Hex, Power BI), and data warehouse architectures (Snowflake, Big Query, Redshift).
• Proven ability to leverage AI tools (e.g., Gemini, Claude, or specialized AI prototyping platforms) to rapidly build and iterate on data visualizations and functional product mockups.
• Experience defining and operationalizing product metrics (DAU, WAU, MAU, churn, revenue KPIs, etc.).
• Demonstrated success building self‑service data products or internal platforms.
• Ability to translate abstract…