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  1. Home
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  3. engineering
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  5. Product Data Engineering Manager
Schneider Electric logo

Product Data Engineering Manager

Not Disclosed•Full-TimeHybrid

location_on3rd Avenue North, Downtown Nashville, Nashville, Davidson County, Middle Tennessee, Tennessee, 37208, United States

Apply Now

About the Team

Schneider Electric is consistently recognized as a global leader, rated by Fortune as one of the "Great Places to Work," by Glassdoor as the 11th "Best Place To Work," and by Forbes as "America's Best Employers for Diversity." We are also honored as the "World's Top 10 in Gender Equality" by Equileap and named the "Most Sustainable Company in the World" by TIME. With €40 billion in global revenue and over 150,000 employees across 100+ countries, we are committed to turning sustainability ambitions into actions at the intersection of automation, electrification, and digitization.

Our culture is built on our IMPACT values: Inclusion, Mastery, Purpose, Action, Curiosity, and Teamwork. We are looking for IMPACT Makers—exceptional people who believe everyone has the potential to contribute to a more resilient, efficient, and sustainable world. We aspire to be the most inclusive and caring company in the world, ensuring all employees feel uniquely valued and safe to contribute their best.

About the Role

This hybrid Product Data Engineering Manager position is based in the Nashville, TN Metropolitan area. You will serve as the technical reference connecting Electrical Engineering, Product Management, Manufacturing, Digital tools, and Data to deliver scalable, customer-ready, and industrialized Medium Voltage (MV) solutions.

This is not a pure data or IT role; it requires a solid background in electrical distribution engineering combined with strong cross-functional leadership. You will own the technical, structural, and digital definition of MV electrical distribution offers. Your mission is to define and update the structuration and required digital footprint of the offer for customers—including end-users, specifiers, contractors, and panel builders—throughout their entire journey from selection and design to building, commissioning, operation, and maintenance.

You will be accountable for the accuracy, relevance, and quality of the data for the product families you own. This includes ensuring offer configuration rules are available for licensed partners and plants, and maintaining consistent data availability across web platforms and internal software. You will act as the reference authority for MV offer configuration and engineering rules, leading cross-functional alignment to enable business growth, cross-selling, and the adoption of connected products.

Hiring Process

To be considered for this position, you must submit an online application. This role will remain posted until filled. We look forward to learning about your experience and how you can contribute to our mission.

Equal Opportunity

Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in 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. We mirror the diversity of the communities in which we operate and are committed to championing inclusivity in everything we do.

Work location

Work model: Hybrid

location_on

3rd Avenue North, Downtown Nashville, Nashville, Davidson County, Middle Tennessee, Tennessee, 37208, United States

Nashville, Tennessee

Key Responsibilities

  • check_circleCreate and maintain global offer structuration and configuration rules using decision trees or choice grids
  • check_circleLead cross-functional alignment across Engineering, Marketing, Manufacturing, and Digital teams for MV offer definition
  • check_circleContribute to early adoption of disruptive offers by leveraging offer data to enable growth of connected products
  • check_circleLeverage offer data to enable cross-selling and up-selling opportunities between offers and services
  • check_circleCoordinate creation, update, and withdrawal of all data for owned product families in alignment with the business roadmap
  • check_circleManage offer lifecycle and ensure attachment of full digital assets including catalogs, manuals, CAD files, and BIM models
  • check_circleDefine and update the required digital footprint and dataset for each execution model and go-to-market strategy
  • check_circle

Requirements

  • verifiedElectrical Engineering experience
  • verifiedBackground in electrical distribution systems and applications
  • verifiedExperience owning or leading electrical product portfolios
  • verifiedUnderstanding of Industrialization and Supply chain processes and tools
  • verifiedKnowledge of specifier, contractor, panel builder
Schneider Electric logo
Company

Schneider Electric

Industry

engineering

View company profilearrow_forwardlanguageWebsite
Quick Overview

Experience

Lead

Job Type

Full-Time

Skills Required

Electrical Distribution Engineering

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Frequently asked questions about Product Data Engineering Manager at Schneider Electric

What does a Product Data Engineering Manager at Schneider Electric do?expand_more
A Product Data Engineering Manager at Schneider Electric is responsible for the following: Create and maintain global offer structuration and configuration rules using decision trees or choice grids; Lead cross-functional alignment across Engineering, Marketing, Manufacturing, and Digital teams for MV offer definition; Contribute to early adoption of disruptive offers by leveraging offer data to enable growth of connected products; and Leverage offer data to enable cross-selling and up-selling opportunities between offers and services.
What are the requirements for this Product Data Engineering Manager role?expand_more
To qualify for the Product Data Engineering Manager at Schneider Electric position, applicants should have: Electrical Engineering experience; Background in electrical distribution systems and applications; Experience owning or leading electrical product portfolios; Understanding of Industrialization and Supply chain processes and tools; and Knowledge of specifier, contractor, panel builder.
Where is the Product Data Engineering Manager role at Schneider Electric located?expand_more
Product Data Engineering Manager at Schneider Electric is based in 3rd Avenue North, Downtown Nashville, Nashville, Davidson County, Middle Tennessee, Tennessee, 37208, United States. This is a hybrid role.
Is this Product Data Engineering Manager job remote, hybrid, or on-site?expand_more
Schneider Electric has listed this Product Data Engineering Manager role as hybrid.
How much experience is required for this Product Data Engineering Manager role?expand_more
Candidates for Product Data Engineering Manager at Schneider Electric should have lead.
What skills do you need for the Product Data Engineering Manager role at Schneider Electric?expand_more
Key skills for Product Data Engineering Manager at Schneider Electric include Electrical Distribution Engineering; Electrical Engineering; Data Science; Cad; and Bim.
What category does the Product Data Engineering Manager role belong to?expand_more
Product Data Engineering Manager at Schneider Electric is part of the engineering job category on Recrutus.
Recrutus

Curating the world's most innovative career opportunities. We bridge the gap between visionary talent and industry-leading companies.

Search roles by city, category, skill, or job type — explore verified US employers, salary benchmarks, and remote-friendly teams hiring nationwide.

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Browse jobsCompanies hiringRemote jobsJobs by locationJobs by cityJobs by categoryJobs by skillCareer guidesCareer blogSalary insights
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Recrutus helps candidates discover roles that match their skills and helps teams reach qualified applicants faster. Browse by metro, discipline, or work style — from internships to senior leadership.

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Verify offer implementation in customer-facing and internal tools while monitoring quality and customer experience
Electrical Engineering
Data Science
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Bim
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