Built-In Quality (BIQ) Digitization Leader

Job Summary GE Vernova is seeking a Built‑In Quality (BIQ) Digitization Leader to accelerate the Schenectady Factory’s transition to Target Condition 2 (TC2) and Target Condition 3 (TC3). The role focuses on digitizing quality systems, modernizing BIQ tools, and deploying AI solutions that proactively prevent defects and enhance operational excellence. The successful candidate will partner with Manufacturing, Quality, Lean, Digital Technology, and Operations teams to transform manual quality processes into scalable digital solutions that improve process capability, increase visibility, accelerate problem solving, and reduce Cost of Poor Quality. Responsibilities Lead BIQ digital transformation by developing and executing the Schenectady BIQ digitization roadmap to support TC2 and TC3 maturity objectives. Prioritize and digitize 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. Lead the digital deployment and continuous improvement of PFMEA, Control Plans, Layered Process Reviews, Pre‑Flight Checklists, Change Point Control, Visual Management of Quality, Quality Standard Work, Defect Trend Management, 8D/4D Problem Solving, Real‑Time SPC, and Read‑Across Systems. Identify, develop, pilot, and scale AI applications that enhance quality prediction, defect prevention, process monitoring, and root‑cause analysis across Bar Shop, Stator, Rotor, and Generator Assembly value streams. Support the implementation of Jidoka principles through intelligent monitoring and automated quality controls, enabling real‑time detection of abnormalities and immediate corrective actions. Develop dashboards and analytics solutions to provide actionable insights into defects, process capability, BIQ maturity, and CoPQ, facilitating data‑driven problem solving across production and leadership teams. Lead multidisciplinary project teams comprising 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 Bachelor’s degree in Engineering, Manufacturing, Computer Science, Data Analytics, Information Systems, Quality, or a related technical field. At least 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 in heavy manufacturing, power generation equipment, turbines, generators, or large industrial assembly operations. Desired: Experience implementing enterprise digital manufacturing systems. Desired: Six Sigma Green Belt or Black Belt certification. Desired: Experience with AI‑enabled defect detection, predictive quality, or manufacturing analytics. Desired: Knowledge of GE Vernova BIQ methodology and TC maturity model. Desired: Strong understanding of quality systems, defect prevention, and Built‑In Quality methodologies (PFMEA, Control Plans, SPC, Root Cause Analysis, 8D, process capability). Desired: Demonstrated experience digitizing manufacturing or quality processes, including MES, L2L, Power BI, Microsoft Power Platform, SharePoint, SQL databases, or related manufacturing systems. Desired: Knowledge of AI, machine learning, computer vision, predictive analytics, or large language model applications within manufacturing. Desired: Strong understanding of Lean Manufacturing, Toyota Production System principles, and Built‑In Quality concepts. Desired: 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. Benefits Competitive compensation with base salary range $104,600.00 – $174,400.00 and discretionary annual bonus. Relocation assistance provided. Medical, dental, vision, and prescription drug coverage. Health Coach, 24/7 nurse‑based resource. Employee Assistance Program with 24/7 confidential assessment, counseling, and referral services. GE Vernova Retirement Savings Plan (401(k) with company matching and contributions). Fidelity resources and financial planning consultants. Tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance. 12 paid holidays and permissive time off. Equal Employment Opportunity 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). Security Clearance This role requires access to U.S. export‑controlled information. Final offers will be contingent upon the ability to obtain authorization for access to U.S. export‑controlled information from the U.S. Government. #J-18808-Ljbffr LS3002 GE Vernova Operations LLC