Remote Senior PLM/ALM Applications Lead

GE Aerospace; Helena (MT); Remote; USD 131,000 - 189,000; Full time

Benefits offered by this job

Relocation assistance

Remote position (#LI-Remote)

Job summary

GE Aerospace seeks a senior technical leader to oversee mapping of data sources, data movement, interfaces, and analytics for PLM systems. You will drive domain discussions, develop roadmaps for PLM/MDM, and mentor teams across multiple groups, while aligning projects with business goals and budget considerations.

You will lead POC work with emerging technologies, support enterprise strategy, and contribute to service-oriented data platforms with reusable components.

Qualifications

• Bachelor’s degree with minimum of 5 years of professional experience OR Associates with 8+ years OR HS diploma with 10+ years of experience.
• Minimum 5 years of professional experience in Application Engineering.
• Military experience counts as professional experience.

Responsibilities

• Lead and coordinate domain technical and business discussions across multiple teams.
• Analyze enterprise tools designs and develop roadmaps for PLM/MDM platforms.
• Review and develop design at domain level across teams.
• Participate in EA governance model.
• Research emerging technologies and mentor others in the domain.
• Partner with business leaders to align projects with goals.
• Build POCs using emerging tech and hardened design patterns.

Skills

PLM/ALM knowledge

Microservices

SOA

Big Data systems

ElasticSearch

DevOps

Education

Bachelor’s degree

Associates degree with 8+ years

High School Diploma with 10+ years

Tools

Hadoop

Elastic Search

Solr

Job description

GE Aerospace seeks a senior technical leader to oversee mapping of data sources, data movement, interfaces, and analytics for PLM systems. You will drive domain discussions, develop roadmaps for PLM/MDM, and mentor teams across multiple groups, while aligning projects with business goals and budget considerations.

You will lead POC work with emerging technologies, support enterprise strategy, and contribute to service-oriented data platforms with reusable components.