Principal, Product Manager – Data Service

Compensation & Benefits

For this U.S. based position, the expected compensation range is $139,200 - $208,800 per year, which includes base pay and short-term incentive. The compensation range for this full-time position applies to candidates located within the United States. Our salary ranges are determined by reviewing roles of similar responsibility and level. Within the salary range, individual pay is determined by several factors including performance, knowledge, job‑related skills, experience, and relevant education or training.

Schneider Electric offers a comprehensive benefits package to support our employees, including 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.

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.

• 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 One Lake 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 programs.

• 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.

• Experience:
  
  5+ years building cloud data/industrial IoT platforms (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, Mongo
  
  DB, 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.

• Opportunity to shape a next‑generation energy and industrial data platform.
• Work at the intersection of IoT, AI, and cloud technologies.
• Collaborative environment with global impact.
• Competitive compensation and benefits.

We strongly prefer candidates in the Boston area. We are unable to consider any remote candidates.

We are unable to consider any candidates who will require immigration assistance either now or in the future.

Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic.

You must submit an online application to be considered for any position with us. This position will be posted until filled.