Senior Technical PM - Data Marketplace & Platform

GE Aerospace; Cincinnati (OH); On-site; USD 131,000 - 174,000; Full time

Benefits offered by this job

Health benefits program

Wellbeing program

Job summary

GE Aerospace seeks a hands-on Product Manager to operationalize the Data Product Marketplace and enterprise catalog for Defense & Systems. You will own intake, onboarding, catalog, discovery, and self-service access workflows, and drive adoption metrics and governed data products.

You will partner with Data Product Owners and Architects across multiple P&Ls to ensure SLA alignment, health scores, and reusable patterns, shortening the path from a data product request to a usable data product in

Qualifications

• Bachelor's degree or higher with relevant experience.
• Minimum 5 years in Data Product Management or Data Marketplace Operations.
• Military experience is equivalent to professional experience.
• Eligibility: US work authorization; GE Aerospace will not sponsor visas.

Responsibilities

• Own the marketplace and catalog feature backlog: search, discovery, previews, and self-service workflows.
• Prioritize backlog against adoption impact and enterprise roadmap.
• Manage data-product onboarding and certification intake with owners (SLAs, uptime, health scores).
• Track adoption metrics and report to leadership.

Skills

Data product management

Data marketplace operations

Agile / Scrum

Stakeholder management

APIs

Data catalogs

Self-service tooling

Adoption metrics

Research & discovery

Education

Bachelor's degree

Associate's degree

High School Diploma

Tools

CSPO certification

SAFe Product Owner/Manager

Data quality frameworks

Data catalog tooling

Job description

GE Aerospace seeks a hands-on Product Manager to operationalize the Data Product Marketplace and enterprise catalog for Defense & Systems. You will own intake, onboarding, catalog, discovery, and self-service access workflows, and drive adoption metrics and governed data products.

You will partner with Data Product Owners and Architects across multiple P&Ls to ensure SLA alignment, health scores, and reusable patterns, shortening the path from a data product request to a usable data product in