Built-In Quality (BIQ) Digitization Leader

Built-In Quality Digitization Leader

At GE Vernova, our mission is to electrify and decarbonize the world while delivering the highest levels of quality, safety, and customer satisfaction. The Built-In Quality (BIQ) Digitization Leader will play a pivotal role in accelerating the Schenectady Factory's transition to Target Condition 2 (TC2) and Target Condition 3 (TC3) by digitizing quality systems, modernizing Built-In Quality tools, and deploying Artificial Intelligence (AI) solutions that enable proactive defect prevention and operational excellence. This role directly supports the factory's Zero Defect vision through the integration of digital technologies into the BIQ ecosystem. The successful candidate will partner with Manufacturing, Quality, Lean, Digital Technology, and Operations teams to transform traditionally manual quality processes into scalable digital solutions that improve process capability, increase visibility, accelerate problem solving, and reduce Cost of Poor Quality (CoPQ).

Roles & Responsibilities

Lead BIQ Digital Transformation

• Develop and execute the Schenectady BIQ digitization roadmap supporting TC2 and TC3 maturity objectives.
• 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

• 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

These disciplines are foundational elements of the GE Vernova BIQ ecosystem.

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. Discussions within the BIQ program specifically reference accelerating AI-enabled digitization efforts and local digital authority support models.

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.

This role requires access to U.S. export-controlled information. If applicable, final offers will be contingent on ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government.