Product Operations Leader managing manufacturing and functional objectives at GE Aerospace. Driving lean operations and coordinating complex manufacturing issues for aviation technologies.
About the role
- Senior Technical Product Operations Manager focusing on simulation test quality and operational execution. Engaging with Engineering and Simulation stakeholders to drive technical improvements.
Responsibilities
- Own the simulation maintenance workflow, ensuring tests are reliable, scalable, and production-ready
- Act as a quality owner within the test program, driving consistency across behaviors and test types
- Ensure all test deliveries meet defined acceptance criteria and stakeholder expectations
- Drive execution of quality-related key results, including test longevity, kickbacks, scope change workflows, and quality corrections
- Identify operational bottlenecks and design process improvements that increase throughput, reduce rework, and improve signal quality
- Operate with a strong bias toward actions, continuously identifying opportunities for improvement and pushing initiatives to completion
- Perform technical deep dives into simulation and test failures to identify root causes and systemic gaps
- Apply systems thinking to complex Sim core issues by breaking down large, ambiguous problems into functional dependencies and actionable workstreams
- Partner with Engineering and Simulation stakeholders to clarify requirements, validate assumptions, and influence technical decisions through data and analysis
- Act as a key connector between Operations, Engineering, and Simulation teams by bridging technical details and operational execution
- Build strong collaborations with customers and stakeholders. Manage expectations and align on priorities
- Communicate clearly and confidently across audiences, from working-level partners to senior leadership
Requirements
- 4+ years of experience in technical operations, product operations, technical program management, or data-driven technical roles requiring regular use of Python and SQL
- Bachelor’s degree in Engineering, Computer Science, Data Science, Mathematics, or a related technical field or equivalent practical experience
- Proven ability to lead complex, cross-functional initiatives without formal authority
- Strong stakeholder management skills, including navigating ambiguity and competing priorities
- Working proficiency in both Python & SQL for data analysis, debugging, or automation
- Ability to independently write and modify scripts and queries to investigate simulation issues, validate assumptions, and drive quality improvements
- Ability to understand simulation systems and technical architectures well enough to drive meaningful quality improvements
- Strong analytical mindset with experience defining, tracking, and improving quality metrics
- Strong collaboration and communication skills
- Bias toward actions and continuous improvement; comfortable taking ownership and driving change
- Ability to adjust between tactile and strategic, leveraging experience and emotional intelligence to quickly adjust as needed
Benefits
- Non-Discrimination and Equal Employment Opportunities (U.S.)
- Inclusion and belonging initiatives
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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