Strategy Director Visa Sponsorship Jobs in South Carolina
Strategy director roles in South Carolina are concentrated in Charleston, Columbia, and Greenville, where employers in financial services, healthcare, advanced manufacturing, and technology actively hire senior strategists. Major employers include Prisma Health, Michelin North America, and Booz Allen Hamilton. International candidates pursuing visa sponsorship will find the most activity in these metro areas.
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Get Access To All JobsINTRODUCTION
The Director of AI Strategy & Transformation for Wind Engineering will establish and lead the application of Artificial Intelligence (AI) as a scalable and value-generating capability across the Wind Engineering organization. This role is accountable for defining the AI vision and roadmap, building the organizational and technical systems required to scale, and ensuring AI initiatives deliver measurable business outcomes.
As a newly created leadership role, this position requires a leader who can operate effectively in uncertainty, shape strategy while driving execution, and build durable structures—including governance, operating models, and partnerships—that enable sustained impact.
Key Responsibilities:
AI Strategy, Vision & Value Delivery
- Define and own the AI strategy and multi-year roadmap for Wind Engineering, aligned with business priorities and enterprise AI direction.
- Identify, prioritize, and sequence high-value AI use cases across design, analysis, validation, manufacturing support, operations, reliability, and lifecycle optimization.
- Establish clear value hypotheses, success metrics, and ROI tracking for AI initiatives.
- Ensure balance between rapid experimentation and development of scalable, repeatable capabilities.
Scalable Systems, Platforms & Governance
- Design and implement AI systems that scale, including standards for data, models, tooling, deployment, and lifecycle management.
- Establish and lead AI governance for Wind Engineering, including:
- Model risk management and validation
- Data quality, lineage, and access standards
- Responsible AI, safety, and regulatory compliance
- Decision rights and investment prioritization
- Partner with Digital, IT, and Data leaders to align on platform strategy, architecture, and MLOps practices.
- Ensure AI solutions are maintainable, auditable, and reusable across products and teams.
Organizational Design & Talent Leadership
- Define the AI operating model for Wind Engineering (centralized, federated, or hybrid), including roles, interfaces, and engagement models.
- Build, lead, and develop a high-performing team of AI engineers, data scientists, and technical leaders within this operating model.
- Define capability requirements, skill profiles, and career paths for AI-enabled engineering roles.
- Lead hiring, onboarding, and succession planning for critical AI leadership and technical roles that would include direct and indirect reporting lines.
Adoption, Change & Engineering Integration
- Drive broad adoption of AI within engineering, embedding AI tools, workflows, and decision-support into standard engineering processes.
- Lead identification of core AI skillsets required across the entire Wind Engineering team. Incorporate these into competency models and work to develop and institute training as required.
- Partner with engineering leaders to integrate AI into design reviews, validation workflows, and operational decision-making.
- Lead change management efforts, including training, communications, and communities of practice, to increase AI fluency and trust.
- Establish feedback loops to continuously improve usability, effectiveness, and adoption.
External Partnerships & Ecosystem Development
- Develop and manage strategic external partnerships with AI technology providers, software vendors, startups, universities, and research institutions.
- Evaluate when to build, buy, or partner to accelerate capability development and value realization.
- Structure and govern partnerships to ensure IP protection, scalability, security, and long-term value.
- Represent Wind Engineering in external forums and collaborations related to AI and advanced engineering methods.
Cross-Business Collaboration
- Serve as a partner to Product Management, Supply Chain, Services, Commercial, and Enterprise Digital teams to ensure AI initiatives deliver end-to-end business impact.
- Align Wind Engineering AI efforts with enterprise AI standards, platforms, and investments, influencing direction where needed.
- Enable reuse and scaling of AI solutions across functions, regions, and product lines.
Leadership in Ambiguity
- Translate ill-defined problems and emerging opportunities into clear strategies, executable plans, and scalable solutions.
- Make informed tradeoffs across speed, risk, technical depth, and business value.
- Set direction and maintain momentum in a rapidly evolving technology and business landscape.
QUALIFICATIONS & EXPERIENCE
Required
- Bachelor’s degree in Engineering, Computer Science, Applied Mathematics, or related field (advanced degree strongly preferred).
Preferred
- Extensive experience in engineering leadership, digital transformation, or advanced analytics/AI within a complex industrial environment.
- Proven ability to design and lead governance, operating models, and scalable systems.
- Experience building and leading multidisciplinary teams.
- Strong executive communication and stakeholder management skills.
- Demonstrated success delivering AI-enabled business outcomes at scale, not just pilots or proofs of concept.
- Experience in wind energy, power generation, aerospace, or similarly regulated, safety-critical industries.
- Experience managing external partnerships and joint development initiatives.
- Familiarity with enterprise data platforms, cloud-native AI solutions, and MLOps frameworks.
- Experience operating in matrixed, global organizations.
Critical Success Factors
- Ability to create structure and momentum in ambiguity.
- Credibility with senior engineering, digital, and business leaders.
- Strong systems thinking—connecting data, models, people, and processes into scalable capability.
- Results orientation with a disciplined approach to governance and risk.
Why This Role Matters
This Director role will define how AI becomes a core, trusted, and scalable capability within Wind Engineering, enabling faster innovation, improved product performance, reduced risk, and differentiated customer value. The decisions made in this role will shape engineering practices for years to come.
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.
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 only:
Bonus eligibility: discretionary annual bonus.
This posting is expected to remain open for at least seven days after it was posted on April 02, 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.
INTRODUCTION
The Director of AI Strategy & Transformation for Wind Engineering will establish and lead the application of Artificial Intelligence (AI) as a scalable and value-generating capability across the Wind Engineering organization. This role is accountable for defining the AI vision and roadmap, building the organizational and technical systems required to scale, and ensuring AI initiatives deliver measurable business outcomes.
As a newly created leadership role, this position requires a leader who can operate effectively in uncertainty, shape strategy while driving execution, and build durable structures—including governance, operating models, and partnerships—that enable sustained impact.
Key Responsibilities:
AI Strategy, Vision & Value Delivery
- Define and own the AI strategy and multi-year roadmap for Wind Engineering, aligned with business priorities and enterprise AI direction.
- Identify, prioritize, and sequence high-value AI use cases across design, analysis, validation, manufacturing support, operations, reliability, and lifecycle optimization.
- Establish clear value hypotheses, success metrics, and ROI tracking for AI initiatives.
- Ensure balance between rapid experimentation and development of scalable, repeatable capabilities.
Scalable Systems, Platforms & Governance
- Design and implement AI systems that scale, including standards for data, models, tooling, deployment, and lifecycle management.
- Establish and lead AI governance for Wind Engineering, including:
- Model risk management and validation
- Data quality, lineage, and access standards
- Responsible AI, safety, and regulatory compliance
- Decision rights and investment prioritization
- Partner with Digital, IT, and Data leaders to align on platform strategy, architecture, and MLOps practices.
- Ensure AI solutions are maintainable, auditable, and reusable across products and teams.
Organizational Design & Talent Leadership
- Define the AI operating model for Wind Engineering (centralized, federated, or hybrid), including roles, interfaces, and engagement models.
- Build, lead, and develop a high-performing team of AI engineers, data scientists, and technical leaders within this operating model.
- Define capability requirements, skill profiles, and career paths for AI-enabled engineering roles.
- Lead hiring, onboarding, and succession planning for critical AI leadership and technical roles that would include direct and indirect reporting lines.
Adoption, Change & Engineering Integration
- Drive broad adoption of AI within engineering, embedding AI tools, workflows, and decision-support into standard engineering processes.
- Lead identification of core AI skillsets required across the entire Wind Engineering team. Incorporate these into competency models and work to develop and institute training as required.
- Partner with engineering leaders to integrate AI into design reviews, validation workflows, and operational decision-making.
- Lead change management efforts, including training, communications, and communities of practice, to increase AI fluency and trust.
- Establish feedback loops to continuously improve usability, effectiveness, and adoption.
External Partnerships & Ecosystem Development
- Develop and manage strategic external partnerships with AI technology providers, software vendors, startups, universities, and research institutions.
- Evaluate when to build, buy, or partner to accelerate capability development and value realization.
- Structure and govern partnerships to ensure IP protection, scalability, security, and long-term value.
- Represent Wind Engineering in external forums and collaborations related to AI and advanced engineering methods.
Cross-Business Collaboration
- Serve as a partner to Product Management, Supply Chain, Services, Commercial, and Enterprise Digital teams to ensure AI initiatives deliver end-to-end business impact.
- Align Wind Engineering AI efforts with enterprise AI standards, platforms, and investments, influencing direction where needed.
- Enable reuse and scaling of AI solutions across functions, regions, and product lines.
Leadership in Ambiguity
- Translate ill-defined problems and emerging opportunities into clear strategies, executable plans, and scalable solutions.
- Make informed tradeoffs across speed, risk, technical depth, and business value.
- Set direction and maintain momentum in a rapidly evolving technology and business landscape.
QUALIFICATIONS & EXPERIENCE
Required
- Bachelor’s degree in Engineering, Computer Science, Applied Mathematics, or related field (advanced degree strongly preferred).
Preferred
- Extensive experience in engineering leadership, digital transformation, or advanced analytics/AI within a complex industrial environment.
- Proven ability to design and lead governance, operating models, and scalable systems.
- Experience building and leading multidisciplinary teams.
- Strong executive communication and stakeholder management skills.
- Demonstrated success delivering AI-enabled business outcomes at scale, not just pilots or proofs of concept.
- Experience in wind energy, power generation, aerospace, or similarly regulated, safety-critical industries.
- Experience managing external partnerships and joint development initiatives.
- Familiarity with enterprise data platforms, cloud-native AI solutions, and MLOps frameworks.
- Experience operating in matrixed, global organizations.
Critical Success Factors
- Ability to create structure and momentum in ambiguity.
- Credibility with senior engineering, digital, and business leaders.
- Strong systems thinking—connecting data, models, people, and processes into scalable capability.
- Results orientation with a disciplined approach to governance and risk.
Why This Role Matters
This Director role will define how AI becomes a core, trusted, and scalable capability within Wind Engineering, enabling faster innovation, improved product performance, reduced risk, and differentiated customer value. The decisions made in this role will shape engineering practices for years to come.
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.
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 only:
Bonus eligibility: discretionary annual bonus.
This posting is expected to remain open for at least seven days after it was posted on April 02, 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.
Strategy Director Job Roles in South Carolina
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Search Strategy Director Jobs in South CarolinaStrategy Director Jobs in South Carolina: Frequently Asked Questions
Which companies sponsor visas for strategy directors in South Carolina?
Employers most likely to sponsor strategy directors in South Carolina include large healthcare systems like Prisma Health and MUSC Health, defense and consulting firms such as Booz Allen Hamilton and Leidos, and multinational manufacturers including Michelin North America and BMW Manufacturing. Technology companies expanding in the Charleston corridor also sponsor senior strategy roles. Sponsorship is more common at organizations with established HR and legal infrastructure to manage the process.
Which visa types are most common for strategy director roles in South Carolina?
The H-1B is the most common visa category for strategy directors in South Carolina, as these roles typically require a bachelor's degree or higher in business, management, or a related field, satisfying the specialty occupation requirement. Candidates with extraordinary recognition in their field may qualify for the O-1A. Multinational professionals transferring from an overseas office to a South Carolina entity may be eligible for the L-1A, which covers managerial and executive roles.
Which cities in South Carolina have the most strategy director sponsorship jobs?
Columbia leads due to its concentration of healthcare systems, state government contractors, and financial services firms. Charleston has grown significantly as a technology and defense hub, attracting employers who hire senior strategists. Greenville is the anchor of the Upstate manufacturing corridor, where Michelin, BMW, and their supplier networks drive demand for strategy leadership. Spartanburg and Greenville together form the most active sponsorship market outside the Columbia and Charleston metros.
How to find strategy director visa sponsorship jobs in South Carolina?
Migrate Mate is built specifically for international candidates seeking visa sponsorship, making it easier to filter strategy director roles in South Carolina by employers that have a verified history of sponsoring work visas. Rather than sorting through postings that don't disclose sponsorship availability, Migrate Mate surfaces roles where sponsorship is a realistic possibility, saving time for senior-level candidates who need certainty before committing to an application process.
What state-specific factors should international strategy directors know before pursuing South Carolina roles?
South Carolina's prevailing wage requirements for H-1B petitions are set by Department of Labor data for each metro area, and wages in Columbia or Greenville differ from coastal Charleston. The state's growing advanced manufacturing sector, anchored by BMW and Michelin in the Upstate, creates demand for strategy directors with operations or supply chain backgrounds. Clemson University's graduate programs in business and engineering also generate local talent pipelines that international candidates are often competing alongside.
What is the prevailing wage for sponsored strategy director jobs in South Carolina?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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