Vice President – Data Products(electronics)

We are looking for a Vice President – Data Products to define and scale the organization’s data product capabilities. You will own product strategy, lead multi-squad execution, and shape how analytics, dashboards, and AI systems consume and derive value from data.

This role sits at the intersection of product, data, and AI. It requires strong B2B SaaS product leadership, a deep understanding of how data underpins ML and GenAI systems, and the judgment to choose the right approach for each business problem.

What You’ll Do

• 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
• Represent the data product strategy and value proposition to leadership, customers, and partners

What We’re Looking For

• 5–9 years of experience in data products or data platform product roles
• Mandatory exposure to electronics, OEMs, EMS, or semiconductor industries
• Proven experience building or scaling B2B SaaS products, ideally enterprise-grade
• Strong understanding of classical ML techniques and modern GenAI architectures, with sound judgment on practical application
• Solid grasp of data modeling, ETL / ELT principles, integration patterns, and modern data stacks
• Experience defining visualization layers and collaborating with BI teams to build dashboards and insight products
• 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 product squads in fast-moving, high-growth environments
• Exposure to supply chain, procurement, or industrial data products is a plus