Built-In Quality (BIQ) Digitization Leader

Roles & Responsibilities

• Lead BIQ Digital Transformation
• Prioritize the digitization of key BIQ elements and quality workflows across Generator manufacturing operations.
• Collaborate with Global Supply Chain and enterprise digital teams to align local solutions with enterprise standards.
• Digitize Built-In Quality Tools
• Lead the digital deployment and continuous improvement of:
• PFMEA
• Control Plans
• Layered Process Reviews (LPR)
• Pre-Flight Checklists
• Change Point Control
• Visual Management of Quality
• Quality Standard Work
• Defect Trend Management
• 8D / 4D Problem Solving
• Real-Time SPC
• Read-Across Systems
• Deploy AI-Enabled Quality Solutions
• Identify and develop AI applications that improve quality prediction, defect prevention, process monitoring, and root cause analysis.
• Pilot and scale AI solutions within the Bar Shop, Stator, Rotor, and Generator Assembly value streams.
• Partner with Digital Technology and AI teams to rapidly prototype and deploy practical manufacturing solutions.
• Drive Quality at Source
• Support implementation of Jidoka principles through intelligent monitoring and automated quality controls.
• Develop systems that detect abnormalities in real time and enable immediate corrective actions.
• Data Analytics & Visualization
• Develop dashboards and analytics solutions that provide actionable insights into defects, process capability, BIQ maturity, and CoPQ.
• Enable data-driven problem solving across production and leadership teams.
• Cross-Functional Leadership
• Lead multidisciplinary project teams consisting of Quality, Manufacturing Engineering, Operations, Lean, and Digital Technology resources.
• Coach manufacturing teams on adoption and sustainment of new digital quality systems.
• Support replication of successful solutions across generator manufacturing operations.

Qualifications/Requirements

• Bachelor's degree in Engineering, Manufacturing, Computer Science, Data Analytics, Information Systems, Quality, or related technical field.
• 5+ years of experience in manufacturing, quality, lean, digital transformation, or operational excellence.
• Experience leading cross-functional improvement initiatives within industrial manufacturing environments.

Desired Experience

• Experience within heavy manufacturing, power generation equipment, turbines, generators, or large industrial assembly operations.
• Experience implementing enterprise digital manufacturing systems.
• Six Sigma Green Belt or Black Belt certification.
• Experience with AI-enabled defect detection, predictive quality, or manufacturing analytics.
• Knowledge of GE Vernova BIQ methodology and TC maturity model.

Desired Characteristics

• Quality & BIQ Expertise
• Strong understanding of quality systems, defect prevention, and Built-In Quality methodologies.
• Experience with PFMEA, Control Plans, SPC, Root Cause Analysis, 8D, and process capability analysis.
• Manufacturing Technology & Digitization
• Demonstrated experience digitizing manufacturing or quality processes.
• Experience with MES, L2L, Power BI, Microsoft Power Platform, SharePoint, SQL databases, or related manufacturing systems.
• Experience integrating shop-floor data into operational decision-making.
• AI and Advanced Analytics
• Knowledge of AI, machine learning, computer vision, predictive analytics, or large language model applications within manufacturing.
• Experience identifying practical AI use cases and converting concepts into deployed solutions.
• Lean & Continuous Improvement
• Strong understanding of Lean Manufacturing and Daily Management Systems.
• Familiarity with Toyota Production System principles and Built-In Quality concepts.
• Experience supporting operational excellence or Lean transformation initiatives.
• Leadership & Influence
• Proven ability to influence without authority and lead change across multiple functions.
• Strong communication and stakeholder management skills.
• Ability to translate complex technical concepts into practical business solutions.

Additional Information

• GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation.
• GE Vernova is an Equal Opportunity Employer.
• The pay range for this position is between $104,600.00 and $174,400.00.
• This posting is expected to remain open for at least seven days after it was posted on July 08, 2026.