Analytics is undergoing a fundamental shift, transitioning from traditional data science to analytics product development passionate about intelligent systems. As business intelligence evolves into intelligent, AI-powered tooling, we are looking for a Data Scientist eager to help lead this transformation.
This role sits at the intersection of analytics, product, and AI. You will help reimagine our Business Intelligence ecosystem as AI-native applications. You will take on the role of an AI Analytics Product Manager.
We are building toward a future where business and product teams can diagnose performance, uncover insights, and take action through AI-enabled experiences. If you're motivated to move beyond analysis into productizing intelligence and want to develop how eBay interacts with data in the AI era, this is an opportunity to be at the forefront of that journey.
About the roleLead 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.
What you'll doDefine the product vision and roadmap for scaling AI analytics products across multiple domains and user journeys. Identify high-value opportunities where AI agents can improve speed, clarity, trust, and decision quality. Build repeatable product patterns for chat-based analysis, guided investigation, summarization, recommendations, and self-serve insights. Partner with AI and engineering teams on platform capabilities such as prompt orchestration, tool use, RAG, evaluation, and feedback systems. Drive product requirements for domain onboarding, knowledge integration, quality controls, and transparent user experiences. Define success metrics across adoption, answer quality, trust, latency, and business impact. Balance innovation with safety, governance, privacy, and policy requirements across different domains. Align team members across product, engineering, analytics, and domain teams around a unified AI product strategy.
Key skills- 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 haveExperience 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.
What success looks likeBusiness 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.
Additional DetailsThe base pay range for this position is expected in the range below:
$170,400 - $227,500
Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
If hired, employees will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
Remote roles are not eligible for U.S. visa sponsorship.
