Lead Product Manager, Data & AI Insights Platform

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. A Little About Us 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. About the Role 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. 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. Minimum Qualifications 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. Preferred Qualifications 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. The material job duties and responsibilities of this role include those listed above as well as adhering to Yahoo policies ; exercising sound judgment ; working effectively, safely and inclusively with others ; exhibiting trustworthiness and meeting expectations ; and safeguarding business operations and brand integrity. At Yahoo, we offer flexible hybrid work options that our employees love! While most roles don't require regular office attendance, you may occasionally be asked to attend in-person events or team sessions. You'll always get notice to make arrangements. Your recruiter will let you know if a specific job requires regular attendance at a Yahoo office or facility. If you have any questions about how this applies to the role, just ask the recruiter! Yahoo is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. Yahoo will consider for employment qualified applicants with criminal histories in a manner consistent with applicable law. Yahoo is dedicated to providing an accessible environment for all candidates during the application process and for employees during their employment. If you need accessibility assistance and/or a reasonable accommodation due to a disability, please submit a request via the Accommodation Request Form ( ) or call View phone number on click.appcast.io . Requests and calls received for non-disability related issues, such as following up on an application, will not receive a response. We believe that a diverse and inclusive workplace strengthens Yahoo and deepens our relationships. When you support everyone to be their best selves, they spark discovery, innovation and creativity. Among other efforts, our 11 employee resource groups (ERGs) enhance a culture of belonging with programs, events and fellowship that help educate, support and create a workplace where all feel welcome. The compensation for this position ranges from $136,125.00 - $283,750.00/yr and will vary depending on factors such as your location, skills and experience.The compensation package may also include incentive compensation opportunities in the form of discretionary annual bonus or commissions. Our comprehensive benefits include healthcare, a great 401k, backup childcare, education stipends and much (much) more. Currently work for Yahoo? Please apply on our internal career site. #J-18808-Ljbffr Yahoo Holdings Inc.