Tasks:
- * Design Data Agent products for data querying, analysis, and governance
- * Design MDM, data catalog, and data quality platforms
- * Develop and standardize business semantic models and ontologies
- * Drive product lifecycle from user research and PRDs through launch and measurement
- * Research business data needs and identify product opportunities
- * Research Data Fabric, data mesh, and AI4Data trends
Perks/Benefits:
Skills/Tech stack required:
[AI Agents] [Apache Superset] [Data Catalogs] [Data Governance] [Data Management MDM] [Data Modeling] [Data Quality] [Data Warehousing] [Language Models (LLMs)] [Large Language Models] [Large Language Models (LLMs)] [Master Data] [Master Data Management] [Master Data Management (MDM)] [Ontology] [Product Requirements] [Product Requirements Documents] [Product requirements documents PRDs] [Requirements Analysis] [Retrieval-Augmented Generation] [Retrieval-Augmented Generation RAG] [Semantic Modeling] [SQL] [Tableau]
Educational requirements:
[Bachelor's Degree]
Role(s):
[AI Product Manager] [Data Product Manager] [Manager] [Product Manager]