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Tier-1 brand, metro location, and a common product leadership title increase candidate competition.
Role requires specialized enterprise data platform and context/AI product experience, limiting cross-industry transferability.
Explicit 10+ years and mandatory technical data/platform product experience create high shortlisting rigor.
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Own the product vision, development, and scaling of a core self-service data context serving capability within an enterprise data context platform.
Define workflows and requirements for publishing, discovering, consuming, validating, and maintaining standardized data context to enable governed and reusable intelligent systems.
Collaborate with engineering, architecture, and governance teams to integrate the capability across enterprise platforms and support AI-driven use cases including agentic AI workflows.
10+ years of product management experience in technical products, data platforms, or enterprise software.
Technical familiarity with data context, metadata, ontology, semantic concepts, as well as agentic AI, prompt engineering, and context engineering.
Experience working closely with engineering teams to deliver platform or infrastructure capabilities from definition through production adoption.
Work Experience Required: 10+ years of relevant product management experience.
Strategic product manager with strong technical fluency to translate abstract semantic and AI concepts into actionable platform capabilities.
Experienced in managing complex data platform products that balance scalability, governance, and enterprise standards.
Collaborative leader who can partner effectively across product, architecture, engineering, and AI teams to drive adoption and enterprise scale.