Senior PLM Data Engineering Lead (Remote)

GE Aerospace

Bismarck (ND)

Remote

USD 131,000 - 189,000

Full time

2 days ago
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Benefits offered by this job

Relocation assistance provided
Remote position

Job summary

GE Aerospace seeks a senior technologist to oversee data source mapping, data movement, interfaces, and analytics for PLM systems. You will lead domain discussions across teams, develop roadmaps for PLM/MDM platforms, and ensure data quality through governance and reusable service-oriented components.

Hands-on leadership includes building POC's with emergent technologies, guiding budgets, and aligning initiatives with business goals.

Qualifications

  • Bachelor’s degree or higher with extensive professional experience.
  • Minimum 5 years in Application Engineering or related field.
  • Military experience considered equivalent to professional experience.

Responsibilities

  • Lead and coordinate domain discussions on future design across teams.
  • Analyze enterprise tools and plan roadmaps for PLM/MDM platforms.
  • Develop design at domain level with cross-team impact.
  • Collaborate with governance models and enterprise strategy.
  • Evaluate emerging tech and drive project development across teams.
  • Provide leadership and mentorship across the domain.
  • Partner with business leaders to align projects with goals.
  • Build POCs using emerging technologies and established patterns.
  • Participate in strategy development and value case creation.
  • Work with ALM/PLM platforms and modern cloud/DevOps practices.

Skills

Leadership
Mentoring
Stakeholder alignment
Data quality

Education

Bachelor’s degree or higher
Associates degree with >8 years
High School Diploma with >10 years

Tools

Microservices
SOA
Big Data
Elasticsearch
Solr
Cloud
DevOps

Job description

GE Aerospace seeks a senior technologist to oversee data source mapping, data movement, interfaces, and analytics for PLM systems. You will lead domain discussions across teams, develop roadmaps for PLM/MDM platforms, and ensure data quality through governance and reusable service-oriented components.

Hands-on leadership includes building POC's with emergent technologies, guiding budgets, and aligning initiatives with business goals.

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