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, focusing on strategy and execution for internal BI tools and product insights generation.

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