Director of Product, Platform

QAD·Pune·Onsite

DirectorEnterpriseAILogistics

Experience

Not specified

Employment

Full Time

Work mode

Onsite

Level

Director

Location

Pune

Posted

5 days ago

About the role

Organization OverviewCompany Description

QAD is a leading provider of ERP solutions purpose-built for manufacturing industries — automotive, life sciences, food & beverage, high tech, and industrial. Serving thousands of global manufacturers, QAD's Adaptive Manufacturing Cloud helps companies operate with greater precision, agility, and intelligence.

Enterprise software is entering a third era. The first gave manufacturers a System of Record — ERP that answered 'what do we have and what did we commit to?' The second gave them Data Infrastructure — the ability to move, analyse, and query that data at scale. The third era is domain-specific intelligence: AI agents that can act autonomously on manufacturing data, but only if that data has been given the context, relationships, and governed rules that allow an agent to reason correctly.

ERA — QAD's Enterprise Resource Allocation platform — is the domain intelligence layer that sits between any ERP and any AI agent. It encodes what manufacturing data means, governs what agents are permitted to do, and makes every autonomous decision traceable and accountable.

Job Description

This role owns a key pillar of ERA — the Manufacturing Data Fabric & Intelligence layer. This is the foundational intelligence core: the semantic layer that encodes what manufacturing data means, the metric registry that governs how business outcomes are measured, and the AI Insights and conversational analytics capabilities that surface intelligence to

What you'll do

Platform Strategy & Roadmap
Own the multi-year product roadmap for ERA's Manufacturing Data Fabric & Intelligence layer — from raw data pipeline to user-facing AI insights
Define the manufacturing semantic layer: encoding metric definitions, operational constraints, supplier relationships, and business rules into a governed ontology that AI agents can reason from
Translate QAD's ERA vision into concrete, sequenced product bets for the intelligence core — partnering with Directors leading the Integration, Governance, and API pillars to ensure the full platform coheres
Lead the evolution of AI Insights capabilities: contextual anomaly detection, plain-language narrative generation, and agentic root cause analysis
AI & Conversational Analytics
Drive the conversational analytics product — ontology design, knowledge graph, context graph, and intent detection for natural language querying
Establish and own the AI evaluation framework: latency, accuracy, relevancy gates, LLM-as-judge, and human-in-the-loop oversight
Architect the contextual layer that passes metadata, data distributions, and business rules to LLMs for accurate, enterprise-grade output
Define QAD's approach to agentic AI — moving from reactive Q&A to proactive, action-triggering intelligence within ERP workflows
Enterprise Self-Service Reporting
Own the product strategy for self-service report building — enabling business users across manufacturing, finance, supply chain, and operations to create, customise, and share reports without engineering dependency