Senior Vice President – Data Product

The Opportunity: Why 1Buy.ai? 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, 1Buy.ai leverages multi-agent AI to automate the discovery, risk-assessment, and procurement of electronic components at a global scale. We are backed by a founding team that has built, scaled, and exited some of India's most iconic B2B and SaaS unicorns:

Visham Sikand – CEO & Founder linkedin.com/in/visham-sikand-a769105 Co-Founder, New Product Innovation & Head of Business Strategy (Founder at IHO & Goals101 → exits to Aetna Inc and M2P). A highly accomplished entrepreneur with multiple successful ventures, known for building scalable product companies and driving exponential growth.

Nitin Jain – Co-Founder linkedin.com/in/nitin-jain-17b82310 Business Head & Co-Founder (ex-OfBusiness, where he helped build a $5B+ B2B giant). He brings deep expertise in strategy, operations, and driving global business expansion.

Pradeep Paliwal – CPTO & Co-Founder linkedin.com/in/ppaliwal CPTO & Co-Founder (previously CTO at RateGain, TBO- global leaders in Travel/SaaS/Supply chain intelligence). A seasoned technology leader known for architecting scalable products and driving end-to-end product innovation, with deep expertise in engineering, product strategy, and building high-performance tech teams.

About 1Data 1Data is the intelligence backbone of the 1Buy.ai ecosystem. It is the centralised data product layer that powers all downstream AI, analytics, and sourcing decisions across the platform.

The Role We are looking for a

Senior Vice President – Data Product to define and scale the 1Data product portfolio. You will own product strategy, lead multi-squad execution, and shape how analytics, dashboards, and AI systems consume and derive value from 1Data. 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 1. Data Product Vision & Roadmap • Own the vision and roadmap for 1Data 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. • Represent 1Data's product strategy and value proposition to leadership, customers, and partners.

2. AI-First Product Strategy • 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. • Define data contracts and schemas that downstream AI agents- powering sourcing, matching, and risk assessment- depend upon. • Work closely with the 1Source product owner to surface intelligence as dashboards, alerts, automated recommendations, and deal triggers.

3. Data Governance & Trust • Establish and maintain data governance, lineage, quality, and trust frameworks across the platform. • Define data observability requirements- what is monitored, alerted, and surfaced to operations and product teams. • Ensure data pipelines meet reliability and freshness SLAs required for real-time AI agent consumption.

4. Analytics & Insight Layer • Define visualization layers and collaborate with BI teams to formulate dashboards and insight products on top of 1Data. • Translate complex data products into commercially legible intelligence for OEM, EMS, and procurement customers. • Own KPI frameworks and data quality scorecards for all 1Data domains.

5. Leadership & Execution • 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. • Write clear PRDs, data contracts, and measurable KPIs for every feature area. • Manage cross-squad dependencies, run agile ceremonies, and maintain delivery velocity in a fast-moving environment.

What We're Looking For Must-Have • 8+ years of experience in data products or data platform product roles. • Electronics domain expertise is mandatory- direct exposure to OEMs, EMS, semiconductors, or electronic components supply chains. • 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- able to translate technical concepts for business stakeholders. • Experience leading squads in fast-moving, high-growth environments.

Preferred • B.E./B.Tech in Electronics, ECE, or EEE (mandatory); MBA from a premier institution (preferable). • Exposure to electronics OEMs, EMS/Contract Manufacturers, or semiconductor supply chains in a product, data, or strategy capacity. • Prior experience at component intelligence platforms such as SiliconExpert, IHS Markit, Supplyframe, Z2Data, Lytica, Octopart, or Accuris. • Familiarity with component lifecycle concepts- EOL, NRND, last-time-buy, active production- and how they feed procurement risk models.

Good to Have • Experience with GenAI product development- RAG pipelines, vector/embedding search, LLM-based workflow automation. • Exposure to supply chain, procurement, or industrial data products as a product owner or data strategist. • Familiarity with BI tooling (Tableau, Looker, Metabase) and data catalog or lineage tools (Atlan, DataHub, OpenMetadata). • Understanding of modern data stack tooling- dbt, Snowflake, Databricks, Airflow, Kafka, or equivalents.

Why Join 1Buy.ai? • Build a global, category-defining data product in a market being reshaped by AI- own the intelligence layer that every agent and analyst in the ecosystem depends on. • Opportunity to shape how AI-ready data products are built in global electronics procurement. • Work on complex, high-impact data problems at real enterprise scale- component catalogs, pricing signals, lifecycle risk, and supply visibility across millions of SKUs. • Work closely with founders who have built and scaled large multi-billion dollar SaaS and supply-chain platforms. • High ownership, real autonomy, and meaningful equity upside.