• Own the NL2SQL initiative in close partnership with Research, laying the foundation for how structured data is ingested, productized, and scaled across the platform • Ensure core generative and RAG services are portable-ready, scalable, and designed to operate across deployment environments • Partner closely with our orchestration tool to ensure seamless compatibility, and extensibility across agent workflows • Define how we operationalize MCP (Model Context Protocol) to enable reliable, composable agentic workflows • Own the health, reliability, and evolution of our underlying RAG and generative services, including quality, performance, and long-term extensibility • Act as the connective tissue across Research, Platform, and Applications to unblock and accelerate customer-facing AI experiences • Provide clear ownership and direction for platform capabilities that all downstream AI products and customer experiences depend on • Lead agile ceremonies including refinement, roadmap reviews, sprint planning, and stand-ups • Ensure on-time delivery of product features, enhancements and improvements • Define use cases, set requirements and acceptance criteria for features, utilizing an iterative approach to allow for measurement of success and adoption, and prioritization of enhancements • Own your roadmap and set prioritization for feature delivery from technical teams by synthesizing market research, customer and prospect data, customer needs, and internal/external stakeholder expectations • Demonstrate full knowledge of the development process in your area of focus and at times be a key contributor and mindful guide to engineers and scientists on the team • Interact with customers and market thought leaders to develop a deep understanding and define product requirements and best practices for an enterprise business problem • Author product specifications, inclusive of use cases, and activity flow diagrams; identify data sources, analytics, reporting, and integration requirements • Collaborate with engineering, data science, and other support teams such as user experience, QA, and documentation to create exceptional solutions