Wind DT Supply Chain, Data Fabric & AI Leader

GE Vernova • Greenville, SC • 3h ago

Job Description Summary

Drive Enterprise Data & AI Strategy: Architect and execute comprehensive data fabric and AI roadmap aligned to Wind priorities, establishing governance frameworks that ensure datasets are AI-ready and enterprise/asset data stores converge seamlessly.

Build Advanced AI Capabilities at Scale: Lead deployment of AI, GenAI, and VLM models by establishing a "solution factory" for rapid prototyping, partnering with GE Vernova's central AI team to deliver measurable business impact.

Transform Supply Chain Through Data Excellence: Leverage manufacturing and supply chain expertise to implement ML-driven optimization, deploy analytics and governance tools, and establish data quality guardrails across all datasets.

Accelerate Organization AI Maturity: Execute comprehensive upskilling program to elevate GenAI capabilities across Wind business

Deliver Agile, Enterprise-Scale Solutions: Apply Lean/Agile methodologies to build large-scale data products and Enterprise AI applications

Build the team that will deliver all of the above capabilities while embracing #OneTeam spirit

Job Description

Roles & Responsibilities

This role will transform Wind into an AI-first organization by building scalable data infrastructure and GenAI capabilities that drive operational excellence, competitive differentiation, and supply chain resilience. The position establishes an integrated data fabric that enables real-time decision-making while elevating enterprise-wide AI fluency. By creating reusable platforms and organizational capabilities, this leader positions Wind for accelerated innovation and growth across GE Vernova.

This leader must decompose complex, ambiguous business challenges into actionable data and AI solutions while balancing technical feasibility with business value. They need strong systems thinking to navigate interdependencies across supply chain, manufacturing, and IT, making strategic trade-offs for enterprise-wide impact. Critical is rapidly diagnosing root causes and architecting scalable solutions that address immediate needs while building long-term capability.

This leader must understand manufacturing economics, supply chain dynamics, and operational metrics to translate AI investments into quantifiable business outcomes and ROI that resonate with executive stakeholders. They need strategic foresight to anticipate market shifts, competitive pressures, and emerging technologies while aligning data and AI initiatives to Wind's priorities

Accountable for leading and developing a team of senior professional leaders and capability of a large global organization. Key member of the Wind transformation and transformation of DT across GE Vernova.

Qualifications

10+ years of progressive leadership experience across Data, Analytics, Digital Technology, Software, or AI, including ownership of an enterprise-wide data and AI strategy and roadmap in complex, global organizations.

Strong software engineering leadership background, with experience building enterprise applications, platforms, and reusable data or AI products

Proven experience building, leading, and developing global teams of senior leaders, influencing executive stakeholders, and driving enterprise-level transformation in a matrixed environment.

Desired Characteristics

Experience applying data, analytics, or AI solutions within manufacturing or supply chain environments

For candidates applying to a U.S. based position, the pay range for this position is between $220,000 and $300,000. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set.

Additional Information

GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer (https://www.eeoc.gov/sites/default/files/2022-10/22-088\EEOC\KnowYourRights\10\20.pdf) . 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: No

For candidates applying to a U.S. based position only:

Bonus eligibility: discretionary annual bonus.

This posting is expected to remain open for at least seven days after it was posted on March 25, 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 Executive Services. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off, and the Restoration Plan, a nonqualified plan with company credits on eligible pay above IRS limits.

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.

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.

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