Principal, Product Manager – Data Service
About The Position
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 mapped to semantic models, and exposed through modern data products. You will work closely with engineering, architecture, and domain experts to help define and deliver product vision, prioritize 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.
Requirements
- 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.
Nice To Haves
- Experience: 5+ years building cloud data/industrial IoT platforms (with hands‑on telemetry ingestion & streaming/processing), including 2+ years in product management—ideally following an architect/developer path; exposure to commercial data platforms (Azure/Microsoft, Databricks, Snowflake, MongoDB, PTC) preferred.
- 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.
Responsibilities
- Define and own the roadmap for the data platform, with focus 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 startegy
- 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.
- Collaborate with business domain experts, architects and engineers to meet real-world use cases.
- Act as the voice of the customer
- Good understanding of data product lifecycle management, ontology stewardship, and compliance with security and privacy standards.
- Drive adoption through documentation, onboarding, and enablement programs.
Benefits
- Schneider Electric also offers a comprehensive benefits package to support our employees, inclusive of medical (with member reward points), dental, vision, and basic life insurance, Benefit Bucks (credits to apply towards your benefits) flexible work arrangements, paid family leaves, 401(k) + match, well-being and recognition (including service anniversary) programs, 12 holidays per year, 15 days of paid time off per year (pro-rated in the first year of employment based on start date), opportunity to purchase company stock (eligibility depends on start date), and military leave benefits.
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What This Job Offers
Job Type
Full-time
Career Level
Principal
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
