Data Management Engineer

JVIS - USA, LLC
Shelby Township, MI, United States
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

Computer-Aided Design Systems Engineering Information Systems Data Governance Data Integrity Microsoft Office Software Tools System Testing Siemens NX Information Technology Data Management Software Version Control
+3 more
Powerapps Engineering Base Teamcenter (Software)

Job description

JVIS is seeking an experienced Data Management Engineer to support and administer our engineering data management environment. This role is responsible for maintaining engineering data integrity, supporting Siemens Teamcenter and Siemens NX systems, managing engineering change processes, and driving continuous improvement initiatives across product development operations.

The successful candidate will serve as the primary liaison between Engineering, IT, customer stakeholders, and corporate PLM teams to ensure standardized processes, accurate product data, and effective lifecycle management throughout the organization., * Administer and support Siemens Teamcenter and Siemens NX environments.

  • Maintain engineering data governance standards, revision control, and product lifecycle integrity.
  • Lead and support Engineering Change Requests (ECRs), Engineering Change Notices (ECNs), and Engineering Change Orders (ECOs).
  • Manage engineering documentation, product structures, bills of material (BOMs), and revision-controlled data.
  • Collaborate with Engineering, IT, corporate PLM teams, and customer stakeholders to ensure compliance with established standards and workflows.
  • Provide Teamcenter user support, troubleshooting, training, and onboarding for engineers and new team members.
  • Support system testing, validation, upgrades, and enhancement initiatives.
  • Assist with workflow automation and process improvement projects.
  • Monitor data quality and identify opportunities to improve efficiency and accuracy.
  • Support integration and alignment of engineering systems and business processes.
  • Maintain compliance with customer, company, and regulatory requirements.

Requirements

Do you have experience in Workflow management (operations management method)?, * Bachelor’s degree in engineering, Information Systems, Computer Science, or related technical discipline, or equivalent experience.

  • Minimum three years of experience supporting PLM systems, engineering applications, CAD systems, or engineering data management.
  • Experience with engineering change management processes.
  • Strong understanding of revision control, product lifecycle management, and engineering data governance.
  • Strong analytical, organizational, and problem-solving skills.
  • Excellent communication and interpersonal skills.

Preferred

  • Siemens Teamcenter administration experience.
  • Siemens NX experience.
  • Automotive manufacturing experience.
  • Experience supporting customer-managed PLM environments.
  • Experience with workflow automation tools such as Microsoft Power Apps.
  • Experience supporting CAD and engineering software deployments.

Technical Skills

  • Siemens Teamcenter
  • Siemens NX
  • Product Lifecycle Management (PLM)
  • Engineering Change Management (ECR, ECN, ECO)
  • CAD Systems Support
  • Engineering Data Governance
  • Revision Control
  • Workflow Optimization
  • Microsoft Office Suite
  • Microsoft Power Apps (Preferred)

Benefits & conditions

Pulled from the full job description

  • 401(k)
  • Health insurance
  • Vision insurance
  • Dental insurance
  • Life insurance

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on indeed.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:55 min

Maintaining software and data integrity during execution

Christian Wenz Christian Wenz · WWC Europe 2026

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

4:47 min

Navigating data integrity and unpredictable generative AI outputs

Maish Saidel-Keesing Maish Saidel-Keesing · WWC 2025

1:37 min

Adopting systems engineering across a large enterprise

Daniel Siegl +1 · LIVE

3:04 min

Bridging cultural workflows across engineering and manufacturing

Oliver Zimmert · LIVE

2:36 min

Defining data fabric for modern data integration

Andreas Christian · LIVE

Videos

See all

Related articles

See all