Director of Product Management, Data Foundation & Ontology

Director of Product Management, Data Foundation & Ontology

Univers is the Platform for Physical AI, helping organizations orchestrate complex energy, infrastructure and operational systems with intelligence that understands, predicts and acts in the physical world.

Our AIP platform connects IT, OT and IoT data across enterprise systems, assets, sensors and edge environments, creating a real-time operational foundation for monitoring, optimization, automation and AI-driven action.

Across energy, utilities, buildings, manufacturing, transportation and logistics, Univers helps organizations improve performance, resilience, resource efficiency and sustainability. With more than 400 million connected sensors and devices, more than 1,005 GW of energy assets under AI management and more than 800 customers globally, Univers operates one of the world’s largest real-time intelligence platforms for physical infrastructure.

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The Director of Product Management, Data Foundation & Ontology will build and lead the engineering organization responsible for the trusted data, integration and semantic foundation of the Univers AI Platform. The platform will connect fragmented IT, OT and IoT environments, transform heterogeneous data into reliable operational context, and make that context safely usable by analytics, optimization applications and AI agents.

This is a senior product leadership role with end-to-end accountability for technical strategy, architecture, organization design, hiring, delivery and operational excellence. The successful candidate will build a high-performing team spanning data platform, industrial integration, ontology and semantic systems, developer experience, security, governance and reliability. They will remain close to architecture and execution while setting the standards and operating model required to scale the platform globally.

• Define the product vision, target architecture and multi-year technical roadmap for the data foundation and ontology layer of the Univers AI Platform.
• Own delivery of the end-to-end platform, including connectors, ingestion, streaming and change data capture, time-series processing, canonical models, metadata, catalog, lineage, data quality, ontology services, APIs, SDKs and governed actions.
• Make sound architecture decisions across distributed systems, storage, compute, graph and semantic technologies, event-driven services, multi-tenancy, cloud, hybrid and edge deployment.
• Establish clear platform boundaries, service contracts, extension points and reference patterns so customer deployments strengthen the core product rather than create one-off implementations.
• Partner with Engineering, AI, Forward Deployed Engineering and domain leaders to translate customer and industry needs into a sequenced engineering plan. IT, OT and IoT Data Integration
• Build a scalable connectivity framework for enterprise applications, databases, data lakes and warehouses, APIs, files, event buses and document repositories.
• Lead integration with operational and industrial systems including historians, SCADA, MES, BMS/EMS, gateways, controllers and sensor platforms.
• Guide support for relevant protocols and standards such as OPC UA, MQTT and Modbus while maintaining a vendor-neutral platform architecture.
• Design for intermittent connectivity, edge processing, high-volume telemetry, late and out-of order data, schema drift, source-system change and resilient synchronization across cloud and on-premise environments.
• Define the build, buy and partner strategy for connectors and integration tooling, balancing breadth, reliability, implementation speed and long-term maintainability. Ontology, Context and AI…