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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Analytics PM BI to AI Transformation - **Company:** eBay - **Location:** San Jose, CA, United States (Remote available) - **Experience:** Expert - **Salary:** $170,400.0 - $227,500.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Decision Support Systems, Software Product Management, Tableau (Software), Large Language Models, Data Analytics, Looker Analytics, Automation Anywhere - **Published:** May 15, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=1226869ee77cdb94 ## About the Role Do you have experience in Task prioritization?, * 10+ years of Data Science and Analytics experience. Expert in Business Intelligence tools including Tableau and/or Google Looker. * Product management perspective. * Experience building and scaling AI-powered products, including LLM, conversational Analytics, and AI workflows. * Ability to define platform-minded product strategies that support reuse across multiple domains and teams. * Solid understanding of analytical workflows, user needs, and how data-grounded AI products should behave. Experience working closely with Engineering on APIs, platform capabilities, integrations, and operational scale. * Comfort defining requirements for timely response quality, grounded answers, retrieval, evaluation, and trust. Strong partner management and communication skills across technical and non-technical groups. * Ability to prioritize across short-term product wins and long-term platform investments. Nice to have Experience with RAG, evaluation systems, AI feedback loops, or AI product governance. Experience launching products across multiple business domains or customer segments. Exposure to Responsible AI, privacy, security, or regulatory considerations in AI products. ## Description Lead the planning for incorporating Business Intelligence tools into AI applications across multiple domains, use cases, and business functions. Design uniform procedures for AI diagnostics tool creation across the whole Analytics organization. Prototype and direct the advancement and scaling of new AI diagnostics and conversational Analytics functions. Specify how AI agents can assist in diverse analytical workflows, including exploration, reporting, diagnosis, and decision support. Construct reusable product templates that facilitate AI capabilities extending across teams, domains, and customer demands. Work closely with cross-functional Analytics teams, Legal, Privacy, Security, and Responsible AI to provide scalable, dependable AI products., Business Intelligence solutions are transformed into AI tools for faster and new insights discovery. Standard processes are developed and implemented across all Analytics domains. AI analytics capabilities are adopted in diverse sectors through reusable, scalable product patterns. Users can access faster, more trustworthy, and more actionable insights across a wide range of workflows. The organization has a scalable foundation for growing AI Analytics products while maintaining quality, trust, and governance. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [How Data is Shaping our Games](https://www.wearedevelopers.com/videos/176-how-data-is-shaping-our-games) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)