Job Title

Responsibilities:Translate customer and business needs into clear product requirements, data contracts, schemas, and measurable KPIsDefine how downstream analytics, dashboards, and insight layers are designed to ensure data is interpretable and commercially usefulDrive an AI-first product roadmap by identifying where classical ML models (regression, trees, clustering, forecasting) versus GenAI approaches (embeddings, retrieval, vector search, LLM-based reasoning) create the most valuePartner with AI, data engineering, and platform teams to ensure data is structured, enriched, and reliable for these modelsEstablish and maintain data governance, lineage, quality, and trust frameworks across the platformLead multi-disciplinary squads spanning Product, Data Engineering, AI, and Integrations, operating as a senior product ownerWork closely with engineering leadership on scalability, performance, and reliability of ingestion and transformation pipelinesGood to have:5–9 years of experience in data products or data platform product rolesHaving exposure of electronics, OEMs, EMS, Semiconductors is mandatory.Mandatory experience building or scaling B2B SaaS products, ideally enterprise-gradeStrong understanding of classical ML techniques and modern GenAI architectures, with clear judgement on practical applicationSolid grasp of data modelling, ETL / ELT principles, integration patterns, and modern data stacksExperience defining visualization layers and working with BI teams to formulate dashboards and insight products on the platformProven ability to work effectively with engineering, data, and AI teamsStrong communication skills, with the ability to translate technical concepts for business stakeholdersExperience leading squads in fast-moving, high-growth environmentsExposure to supply chain, procurement, or industrial data products is a plus