





Medium — strong Merck brand and metro location offset specialization and senior experience.
High — specialized enterprise data context, semantic, and agentic AI product experience required.
High — explicit 10+ years requirement plus domain, technical, and platform experience mandated.
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Own the product vision, definition, and roadmap for a core enterprise capability focused on self-service serving of standardized data context.
Collaborate with engineering, architecture, and governance teams to build a scalable, intuitive platform enabling publishing, discovery, and consumption of data context.
Enable agentic AI workflows by ensuring reliable, governed, and reusable context delivery for AI-enabled applications and enterprise data products.
10+ years of product management experience in technical products, data platforms, or enterprise software.
Strong familiarity with data context, metadata, ontology, or semantic concepts.
Working knowledge of agentic AI, prompt engineering, and context engineering concepts.
Location: Hyderabad; No visa sponsorship or relocation offered; No travel required.
Experienced in managing platform or infrastructure capabilities with a strong technical fluency in semantic data systems.
Skilled at translating abstract, complex data and AI concepts into actionable product capabilities with enterprise-wide impact.
Demonstrated ability to collaborate across product, engineering, architecture, and governance functions in large organizations to drive adoption and operational readiness.