TCI has an immediate need for an experienced
Enterprise AI Strategy Leader in Louisville, KY. This is a Direct Hire opportunity and not available for C2C.
SUMMARY The Enterprise AI Strategy Leader will guide the development and implementation of an organization-wide artificial intelligence strategy. This individual will play a key leadership role in identifying opportunities to leverage AI technologies to improve business performance, increase operational efficiency, reduce costs, and strengthen the organization's competitive position.
The ideal candidate will combine strong business acumen with a broad understanding of emerging AI technologies, enterprise technology strategy, and organizational change management. This position will be responsible for establishing AI governance standards, overseeing technology partnerships, managing investment priorities, and ensuring AI initiatives are implemented responsibly, securely, and in alignment with long-term business objectives.
RESPONSIBILITIES - Develop and lead an enterprise AI strategy that supports overall business goals and delivers measurable business results.
- Identify opportunities to apply AI technologies across business functions to improve productivity, streamline operations, reduce expenses, and drive innovation.
- Promote AI awareness and adoption throughout the organization through education, training, and change management initiatives.
- Establish and maintain enterprise-wide AI governance policies, standards, and procedures covering accountability, risk management, data quality, compliance, development, and deployment.
- Evaluate, select, and manage relationships with AI technology providers, consulting firms, system integrators, and other strategic partners.
- Monitor the performance and business value of AI partnerships and technology investments, making recommendations for continued investment, modification, or discontinuation.
- Collaborate with business leaders, IT teams, and operational stakeholders to identify technology needs, evaluate capabilities, and address organizational gaps.
- Develop and oversee AI investment and resource plans, including technology expenses, infrastructure, employee training, and external consulting requirements.
- Establish performance metrics and key performance indicators (KPIs) to measure the effectiveness, financial impact, and overall return on AI investments.
- Identify and evaluate potential AI risks involving data security, privacy, regulatory compliance, business continuity, and ethical considerations.
- Implement policies and internal controls governing the appropriate use of AI tools and technologies across the organization.
- Oversee AI-related data governance, system security, third-party technology usage, and the identification of unauthorized or unmanaged AI applications.
- Ensure appropriate human oversight and accountability are maintained throughout the AI implementation lifecycle.
REQUIREMENTS - Strong business and strategic leadership experience, preferably within a manufacturing, industrial, or operations-driven organization.
- Demonstrated ability to identify and implement technology strategies that produce measurable business improvements and financial returns.
- Broad knowledge of artificial intelligence technologies, including generative AI, machine learning, automation, and data analytics.
- Understanding of enterprise technology architecture, system integration, and emerging AI platforms.
- Experience developing and implementing enterprise governance, risk management, compliance, or technology oversight programs.
- Knowledge of AI security, data privacy, regulatory considerations, and responsible AI practices.
- Experience evaluating technology vendors, negotiating strategic partnerships, and managing external service providers.
- Excellent communication, relationship-building, and organizational leadership skills, with the ability to influence executive leadership and collaborate across multiple business functions.
- Strong financial and analytical skills, including budgeting, resource planning, cost management, and return-on-investment analysis.
- Ability to translate complex technology concepts into practical business strategies and actionable recommendations.
QUALIFICATIONS - Bachelor's degree in Business Administration, Information Technology, Computer Science, Engineering, or a related field required.
- MBA or other advanced degree preferred.
- Minimum of 10 years of experience in strategic business leadership, enterprise technology management, digital transformation, or a related discipline.
- At least 5 years of experience in enterprise governance, technology risk management, strategic planning, or enterprise-level technology initiatives.
- Demonstrated experience leading complex, cross-functional initiatives and driving organizational adoption of new technologies.
- Experience within manufacturing, industrial, distribution, or other complex operating environments is highly desirable.
