Built-In Quality (BIQ) Digitization Leader

Job description

Job Description Summary 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). Job Description 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 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 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. Additional Information GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova 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 Vernova 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). Relocation Assistance Provided: Yes For candidates applying to a U.S. based position, the pay range for this position is between $104,600.00 and $174,400.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set. Bonus eligibility: discretionary annual bonus. This posting is expected to remain open for at least seven days after it was posted on July 08, 2026. Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off. GE Vernova Inc. or its affiliates (collectively or individually, “GE Vernova”) sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.