AVP Product - Supplier Lifecycle Management (Procurement/ Electronics)

PeopleGene; Delhi; On-site; INR 2,000,000 - 3,000,000; Full time

Job summary

A data solutions company in Delhi is seeking a senior product owner to lead in developing data products. The role requires 5–9 years of experience in data product management and a strong understanding of machine learning to drive an AI-first roadmap. The candidate will partner with engineering and AI teams to ensure reliability and quality of data while maintaining governance frameworks. Excellent communication skills are crucial for translating technical concepts to stakeholders.

Qualifications

• 5–9 years in data products or data platform product roles.
• Experience with electronics, OEMs, EMS, or Semiconductors.
• Proven ability to lead in high-growth environments.

Responsibilities

• Translate customer needs into product requirements and KPIs.
• Design and ensure data is interpretable and commercially useful.
• Lead multi-disciplinary squads in delivering data products.

Skills

Data governance

Product management

Machine learning

Communication skills

Job description

• 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

Good to have:

• 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