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. 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.

Responsibilities:

• 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

Requirements:

• 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, BigQuery, 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 business questions into concrete data and insights needs — with strong storytelling around the 'why.'
• Strong stakeholder management experience across Product, Engineering, Analytics, and Business functions
• Exceptional communication skills — clear, concise, executive-ready
• Commitment to continuous learning and experimentation within evolving, AI-augmented environments
• Hands-on experience with experimentation frameworks (e.g., A/B testing, multi-armed bandits, holdout tests)
• Familiarity with event-driven data systems (e.g., Segment, Amplitude, Mixpanel) and product telemetry best practices
• Experience launching or managing tools that use AI to generate insights or chat-based data interfaces
• Python proficiency for light data analysis or partnering closely with Data Science teams
• Experience leading company-wide Data Governance or Metric Standardization initiatives
• Ability to review AI-generated reports for accuracy, knowing when to trust the AI and when a manual check is needed