Product Manager, Advanced Enterprise Data Platform
Technology, Data & Digital · Data, AI & Analytics · Data Engineering · Product Management
In short
Google is seeking a Product Manager for their Advanced Enterprise Data Platform in Hyderabad, India. This role involves guiding complex data products from conception to launch, focusing on transforming the data landscape into an AI-ready ecosystem with advanced semantic and reasoning capabilities. The ideal candidate will bridge technical and business worlds to drive product-market fit and ensure a secure, governed data foundation for future AI initiatives.
Responsibilities
- Drive the platform's goal by balancing immediate operational needs with a clear roadmap for an AI-ready, unified enterprise data ecosystem.
- Generate and define detailed product requirements and feature specifications to solve complex data fragmentation and governance challenges.
- Partner with business units to align dependencies and ensure the platform meets wide-ranging enterprise requirements.
- Engage directly with domain owners to lead platform adoption, optimize common capabilities, and achieve product-market fit.
- Define satisfaction metrics through user feedback while navigating ambiguity to maintain enterprise standards and high-impact delivery.
Requirements
- Bachelor's degree or equivalent practical experience.
- 5 years of experience in product management or related technical role.
- 2 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc).
Desired Qualifications
- Master's degree in a technology or business related field.
- Experience working in data, enterprise, platform or infrastructure.
- Experience working in a geographically distributed team with cross-functional stakeholders.
- Experience managing complex data platforms, drafting detailed Product Requirements Documents (PRDs), and executing long-term product roadmaps.
- Deep knowledge of AI/ML foundations, RAG, and semantic modeling.
- Ability to define platform success metrics from user feedback while ensuring strict data privacy and security compliance.
Benefits
- Opportunity to work on products that affect millions of people every day.
- Collaborative work environment with creative engineers, designers, marketers, etc.
- Guide products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring solutions to users.
- Opportunity to lead the development of advanced semantic and reasoning capabilities, such as hybrid search, enterprise knowledge graphs, and GraphRAG.
- Ensure the platform provides the secure, governed, and certified data foundation required to power Google’s next generation of agentic intelligence.
#Data Platform#Enterprise Data#AI#ML#Product Management#Hyderabad