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Added 4 mins ago
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GE Parallel Design Inc.

Manufacturing Manager - Training

United States

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Job details

Posting language: English
Posted: Nov 4, 2026

Original job description

Job Description Summary The Training Manager leads the site-wide training strategy to build workforce capability, accelerate onboarding, and support operational excellence. This role oversees training program design, delivery, evaluation, and continuous improvement across manufacturing functions. The Training Manager serves as the site’s learning expert, applying adult learning principles, advancing digital and AI-enabled training solutions, managing the TMS/LMS, and ensuring regulatory compliance.

This role will partner closely with manufacturing, quality, engineering, EHS, and HR to cultivate a learning culture and develop a highly skilled workforce.

Job Description

Key Responsibilities

Training Strategy & Leadership

Develop and execute the site’s multi‑year training strategy aligned with operational goals, quality standards, and workforce development needs.
Lead the design, implementation, and continuous improvement of training programs across all production roles, including onboarding, upskilling, cross‑training, and certification.
Manage and develop training staff, trainers, and SMEs to ensure high‑quality instructional delivery and consistency.
Own workforce capability mapping and the site‑wide skills matrix, ensuring role clarity, current-state capability visibility, and future-state requirements by value stream, shift, and line.
Lead strategic workforce development planning to support labor pipeline, cross‑training coverage, and succession planning in partnership with Operations and HR.
Build and sustain a culture of continuous learning and professional development at all levels, reinforcing coaching, feedback, and standardized work.
Set clear targets to reduce onboarding and time‑to‑competency while improving first‑time quality rates, driving measurable productivity, quality, and safety outcomes.

Curriculum Design & Adult Learning

Build robust curriculum frameworks using adult learning theory, competency‑based training, and blended learning methodologies.
Conduct needs analyses, skills assessments, and job‑task analyses to determine training priorities and create role‑based learning paths.
Oversee development of standard work instructions, job aids, digital modules, learning labs, and hands‑on practice stations.
Apply Information Mapping principles to improve the clarity, consistency, and usability of training and technical content.
Design, implement, and govern certification and recertification programs aligned to risk, complexity, and regulatory/quality requirements.

Training Technology & AI Integration

Oversee administration and optimization of the site Learning Management System (LMS) or Training Management System (TMS), including reporting, compliance tracking, and user experience.
Leverage AI tools for content creation, skills assessment, and adaptive learning experiences to enhance engagement and reduce training time.
Establish digital content standards, including video‑based training, microlearning, and AR/VR (where applicable).
Build analytics dashboards and training performance metrics to inform decisions and continuous improvement.

Training Centre & Hands‑On Learning

Lead the design, operation, and continuous improvement of a hands‑on training center, ensuring safe, realistic, and repeatable learning environments using scrap materials, simulations, and mock‑ups.
Partner with SMEs to capture and transform real work scenarios into structured digital and in‑person learning modules.

Operational Collaboration & Compliance

Partner with operations, engineering, quality, and EHS to align training programs with regulatory, quality, and safety requirements.
Ensure compliance with industry standards, internal audit readiness, and external regulatory expectations.
Provide change management leadership and training readiness support for new equipment, process, and product introductions (e.g., NPI/transfer/ECN), including SOP/work instruction updates, pilot runs, and go‑live stabilization plans.

Measurement & Continuous Improvement

Establish KPIs and dashboards to measure training effectiveness, time‑to‑competency, certification rates, and post‑training performance.
Use data and feedback to continuously improve curricula, delivery methods, trainers, and training technologies.
Establish standard work to reduce onboarding time while improving first‑time quality and maintain the skills matrix as a living system integrated with scheduling, staffing, and line readiness.

Required Qualifications

7–10 years of experience in learning & development, training management, manufacturing leadership, or related roles.
5+ years of experience designing and managing training programs in a manufacturing or industrial environment.
Deep knowledge of adult learning theory, instructional design models, and competency‑based learning.
Demonstrated experience deploying and managing LMS/TMS platforms, including reporting, workflows, and compliance modules.
Proven experience creating both in‑person and digital curricula, including eLearning, video training, simulations, and microlearning.
Strong understanding of manufacturing operations, quality systems, and safety requirements.
Excellent communication, facilitation, and coaching skills with the ability to partner with all levels of the organization.
Demonstrated ability to lead cross‑functional teams and influence without authority.
Proficiency in Microsoft Office; comfortable working on the production floor.
High level of comfort with data analytics and training performance metrics, including building and interpreting dashboards to drive decisions.
Hands‑on experience owning a skills matrix and workforce capability mapping across roles, lines, and shifts.
Proven ability to reduce onboarding/time‑to‑competency while improving first‑time quality rates.
Experience developing, administering, and maintaining certification and recertification programs.
Demonstrated ability to build and sustain a culture of continuous learning and professional development.
Experience supporting change management for new equipment/process introductions, including training readiness and ramp plans.

Preferred Qualifications

Experience using Information Mapping, AI tools for content development, adaptive learning, and skills analysis.
Experience with AR/VR‑based technical training or digital work‑instruction platforms.
Background in Lean, Six Sigma, or continuous improvement methodologies.
Experience managing a training budget and vendor relationships.
Degree in Education, Organizational Development, Instructional Design, Industrial Engineering, or related field.
Formal change management certification and/or strategic workforce planning experience is a plus.

We will not sponsor individuals for employment visas, now or in the future, for this job opening.

Additional Information GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).

While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees.

Relocation Assistance Provided: No

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More about this job

Skills

Onboarding
Process improvement
Adult education
TMS
LMS
Regulatory compliance
Leadership
Staff training
Coaching
Learning management systems
Reporting
Collaboration
Auditing
Change management
Scheduling
Instructional design models
Quality control systems
Communication skills
Microsoft Office
Data analysis
Lean manufacturing
Industrial engineering

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