Principal, Product Manager – Data Service

hace 4 días


barcelona, España Schneider Electric A tiempo completo

We are seeking a Data Product Manager to lead the development and evolution of our Energy & Industrial data platform, enabling advanced analytics, AI‑driven insights and semantic interoperability across global operations. This role is pivotal in shaping how Energy & Industrial data is ingested, processed, stored and mapped to semantic models, and exposed through modern data products. You will work closely with engineering, architecture and domain experts to define product vision, prioritise capabilities and ensure delivery aligns with business outcomes. The ideal candidate combines industrial domain knowledge, cloud‑native data architecture experience (Microsoft Azure preferred) and a passion for data‑driven innovation. Key Responsibilities Product Roadmap Define and own the roadmap for the data platform, focusing on ingestion, processing and storage of data Translate business needs into clear product requirements and success metrics Contribute to the overall formation of data product strategy Capability Development Drive implementation of OneLake Medallion architecture, ingestion pipelines and data product management frameworks. Good understanding of RDF stores, domain ontologies and physical‑to‑semantic mapping processes. Stakeholder Engagement Collaborate with business domain experts, architects and engineers to meet real‑world use cases. Act as the voice of the customer Governance & Standards Good understanding of data‑product lifecycle management, ontology stewardship and compliance with security and privacy standards. Exposure & Adoption Drive adoption through documentation, onboarding and enablement programmes. Qualifications Required Qualifications Industrial Background: Experience in manufacturing, energy or process industries with understanding of OT/IT integration. Cloud Expertise: Hands‑on experience with Microsoft Azure data services (Azure Data Lake, Synapse, Event Hub, Data Factory, Purview). Data Architecture Knowledge: Familiarity with Medallion architecture, data pipelines and semantic technologies (RDF, SPARQL, SHACL). Product Management Skills: Proven ability to define roadmaps, write user stories and manage backlog in Agile environments. Communication & Leadership: Strong ability to influence cross‑functional teams and articulate technical concepts to business stakeholders. Preferred Qualifications Experience with AI/ML platforms (Azure Machine Learning, feature stores, MLOps). Knowledge of industrial data standards (OPC UA, ISA‑95, ISO 50001). Familiarity with knowledge graphs, ontologies and semantic data modeling. Exposure to data governance frameworks and compliance requirements. Benefits Flexible schedule: adjust work hours to accommodate personal needs and responsibilities. Hybrid work plan: work from home. Holy Pack: purchase additional vacation days to recharge. Floating Holidays: exchange holidays for other days that better suit your plans.



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