Location: New Delhi

Position: Vice President - Sourcing Products

Reports To: Head of Product

We are not just building another procurement tool. We are building the Cognitive Engine for global manufacturing. In a world of fragmented data and brittle supply chains, company leverages multi-agent AI to automate the discovery, risk assessment, and procurement of electronic components at a global scale.

The Role

We are looking for a Vice President - Sourcing Products to define and scale the 1Source product portfolio. You will own product strategy, lead multi-squad execution, and shape how analytics, dashboards, and AI systems consume and derive value from 1Source. 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 judgement to choose the right approach for each business problem.

What You'll Do

The Future of Supply Chain, Today!

- 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 1Data's 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

- Having exposure of electronics, OEMs, EMS, Semiconductors is mandatory.

- Mandatory experience 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

If you enjoy building data products that sit at the heart of decision-making and AI, this role offers both scale and impact.