Sr Data Product Manager - Electronics Components/ SaaS

As a Senior Product Owner, your role will involve owning the vision and roadmap across catalog, intelligence, pricing, supply visibility, lifecycle data, and integrations. You will be responsible for translating customer and business needs into clear product requirements, data contracts, schemas, and measurable KPIs. Your expertise will be crucial in defining how downstream analytics, dashboards, and insight layers are designed to ensure data is interpretable and commercially useful. You will be driving an AI-first product roadmap by identifying the most valuable approach between classical ML models (regression, trees, clustering, forecasting) and GenAI approaches (embeddings, retrieval, vector search, LLM-based reasoning). Collaboration with AI, data engineering, and platform teams will be essential to ensure structured, enriched, and reliable data for these models. Additionally, you will establish and maintain data governance, lineage, quality, and trust frameworks across the platform. Leading multi-disciplinary squads spanning Product, Data Engineering, AI, and Integrations will be an integral part of your role, operating as a senior product owner. Working closely with engineering leadership on scalability, performance, and reliability of ingestion and transformation pipelines will also be a key responsibility. • *Key Responsibilities:** - Own the vision and roadmap across catalog, intelligence, pricing, supply visibility, lifecycle data, and integrations - Translate customer and business needs into clear product requirements, data contracts, schemas, and measurable KPIs - Define how downstream analytics, dashboards, and insight layers are designed to ensure data is interpretable and commercially useful - Drive 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 value - Partner with AI, data engineering, and platform teams to ensure data is structured, enriched, and reliable for these models - Establish and maintain data governance, lineage, quality, and trust frameworks across the platform - Lead multi-disciplinary squads spanning Product, Data Engineering, AI, and Integrations, operating as a senior product owner - Work closely with engineering leadership on scalability, performance, and reliability of ingestion and transformation pipelines • *Qualifications Required:** - 59 years of experience in data products or data platform product roles - Exposure to electronics, OEMs, EMS, Semiconductors is mandatory - Experience in building or scaling B2B SaaS products, ideally enterprise-grade - Strong understanding of classical ML techniques and modern GenAI architectures, with clear judgement on practical application - Solid grasp of data modelling, ETL / ELT principles, integration patterns, and modern data stacks - Experience defining visualization layers and working with BI teams to formulate dashboards and insight products on the platform - Proven ability to work effectively with engineering, data, and AI teams - Strong communication skills, with the ability to translate technical concepts for business stakeholders - Experience leading squads in fast-moving, high-growth environments - Exposure to supply chain, procurement, or industrial data products is a plus As a Senior Product Owner, your role will involve owning the vision and roadmap across catalog, intelligence, pricing, supply visibility, lifecycle data, and integrations. You will be responsible for translating customer and business needs into clear product requirements, data contracts, schemas, and measurable KPIs. Your expertise will be crucial in defining how downstream analytics, dashboards, and insight layers are designed to ensure data is interpretable and commercially useful. You will be driving an AI-first product roadmap by identifying the most valuable approach between classical ML models (regression, trees, clustering, forecasting) and GenAI approaches (embeddings, retrieval, vector search, LLM-based reasoning). Collaboration with AI, data engineering, and platform teams will be essential to ensure structured, enriched, and reliable data for these models. Additionally, you will establish and maintain data governance, lineage, quality, and trust frameworks across the platform. Leading multi-disciplinary squads spanning Product, Data Engineering, AI, and Integrations will be an integral part of your role, operating as a senior product owner. Working closely with engineering leadership on scalability, performance, and reliability of ingestion and transformation pipelines will also be a key responsibility. • *Key Responsibilities:** - Own the vision and roadmap across catalog, intelligence, pricing, supply visibility, lifecycle data, and integrations - Translate customer and business needs into clear product requirements, data contracts, schemas, and measurable KPIs - Define how do