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Metro location, generalist product title, and broad data/AI requirements create moderate candidate competition despite seniority.
High domain bias toward data-platform and AI-native product experience reduces cross-industry transferability.
Explicit 8+ years requirement plus domain-specific data platform and AI expertise make filters strict.
Own and lead the vision and roadmap for the Computer Data and Analytics Platform that transforms operational and product data into trusted, reusable context for AI agents, applications, and analytics.
Define end-to-end data lifecycle from capture, modeling, governance, querying to activation ensuring support for real-time and historical workloads with scalable platform capabilities.
Collaborate with AI, engineering, design, security, and go-to-market teams to enable precise AI-driven data experiences, safe actions, and high-performance query experiences for diverse user personas.
8+ years of product management or related experience building data platforms, developer platforms, analytics, AI, or infrastructure products.
Experience with full data product lifecycle including data ingestion, modeling, quality, governance, querying, and downstream activation.
Strong understanding of modern data architectures and practical knowledge of embedded/in-process analytics like DuckDB.
Work Experience Required: 8+ years product management or complementary experience.
Strategic product leader with demonstrated ability to turn complex technical data architectures into clear customer value and adoption metrics.
Experienced in building scalable platform products that serve both technical and non-technical users with trust, usability, and extensibility.
Familiar with AI-native data experiences including natural-language querying, grounded retrieval, permissions, and safe action execution in an operational context.