Remote Senior AI Enablement Engineer for PLM/Data Platforms

GE Aerospace

Wauwatosa (WI)

Hybrid

AUD 191,000 - 275,000

Full time

2 days ago
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Benefits offered by this job

Relocation assistance provided
Remote position

Job summary

GE Aerospace is seeking a senior technical leader to oversee data source mapping, data movement, interfaces, and analytics within PLM systems. The role requires deep domain knowledge across ALM/PLM, big data, and microservices, with hands-on capability to build POC designs.

You will drive architecture across multiple teams, govern data quality, and mentor engineers while aligning initiatives with business goals and budgets.

Qualifications

  • Bachelor’s degree with 5+ years of professional experience in engineering or IT domains.
  • Military experience is considered equivalent to professional experience.
  • Legal authorization to work in the USA is required for this posting.
  • Experience in Application Engineering is preferred.

Responsibilities

  • Lead domain and business discussions on future design directions across multiple teams.
  • Develop road maps and implementation plans for PLM/MDM platforms.
  • Review and design at domain level across teams and govern project scope.
  • Participate in enterprise governance models and project status reporting.
  • Research and evaluate emerging technologies to guide project development.
  • Provide leadership and mentorship across the domain to raise standards.
  • Develop service-oriented data platforms with reusable components.
  • Partner with business leaders to align projects with strategic goals.

Skills

Domain leadership
Data architecture
Enterprise systems
Mentoring
Governance

Education

Bachelor's degree
Associates degree
High School Diploma

Tools

Hadoop
ElasticSearch
Solr
Cloud Technologies
DevOps
Microservices

Job description

GE Aerospace is seeking a senior technical leader to oversee data source mapping, data movement, interfaces, and analytics within PLM systems. The role requires deep domain knowledge across ALM/PLM, big data, and microservices, with hands-on capability to build POC designs.

You will drive architecture across multiple teams, govern data quality, and mentor engineers while aligning initiatives with business goals and budgets.

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