Director of Product, Platform

Google Chrome Microsoft Edge Apple Safari Mozilla Firefox Director of Product, PlatformFull-timeDepartment: Product ManagementLocation: India - Pune - Adjunct 0fficeCompany DescriptionQAD 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 DescriptionThis 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 users and agents alike. Without this layer, the rest of ERA cannot function. It is the prerequisite for every downstream agent action, every governed decision, and every autonomous workflow ERA enables. As Director of Product for Data, AI, Reporting & Analytics, you will report directly to the Head of Platform Product and lead a team of Product Managers and Technical Product Owners. Your scope is the intelligence core — not the integration layer, not the governance engine, not the developer API. You will partner closely with the Directors leading those pillars, but your mandate is singular: make manufacturing data meaningful, queryable, and AI-ready at enterprise scale. This is a high-visibility, high-leverage role. The semantic layer is ERA's primary moat — the hardest layer to build and the one no horizontal AI platform will invest in replicating. Your roadmap decisions will compound over years and directly determine QAD's competitive positioning in the era of autonomous manufacturing.The OpportunityThe foundation exists — the mandate now is to build ERA's intelligence core into the definitive manufacturing ontology platform. You will have the scope to: Define and own the manufacturing semantic layer — encoding supplier criticality, lead time patterns, quality thresholds, and operational constraints in a form AI agents can reason fromBuild the contextual intelligence layer that passes metric definitions, data distributions, and business rules to LLMs for accurate, anomaly-aware narrative generationDrive QAD's conversational analytics strategy — enabling non-technical manufacturing users to query operations in natural language without SQL or BI expertiseEstablish the AI evaluation framework that governs quality, accuracy, and latency of every AI-generated insight shipped to enterprise customersEvolve the platform from reactive reporting to proactive, agentic intelligence — where the system surfaces recommended actions, not just data Key ResponsibilitiesPlatform Strategy & RoadmapOwn the multi-year product roadmap for ERA's Manufacturing Data Fabric & Intelligence layer — from raw data pipeline to user-facing AI insightsDefine the manufacturing semantic layer: encoding metric definitions, operational constraints, supplier relationships, and business rules into a governed ontology that AI agents can...