General Manager (DX Innovation)

Job Title: General Manager – AI Lead

Company: AISIN World Corp. of America

Department: DX Strategy

Location: Northville, MI, Seymour, IN, Plano, TX and Silicon Valley, CA

Position Summary

The DX Strategy Innovation General Manager is responsible for developing and executing AISIN’s Artificial Intelligence (AI) strategy to drive business growth, operational improvements, innovation, and competitive advantage. This role will oversee AI initiatives across functions, align AI investments with business objectives, and ensure the responsible deployment of AI technologies. It requires a combination of business leadership, technology expertise, change management, and strategic vision.

Position Responsibilities

The incumbent is expected to perform the following functions that the company has determined are essential to this position:

The incumbent is expected to perform the following functions that the company has determined are essential to this position:

Oversee the management and support of Regional Deployment of Co-Pilot and other AI tools to AISIN and other North American facilities.

Strategic Leadership – Create and Lead AI strategy, roadmap, governance, and executive alignment to drive business value and responsible innovation.

Business Transformation – Lead AI transformation by prioritizing high-value use cases, improving operational efficiency, and measuring business impact.

Technology & Innovation – Evaluate, implement, and scale secure AI technologies while partnering with IT, data, cybersecurity, and digital teams to build enterprise capabilities.

Team Leadership – Lead cross-functional AI teams, foster innovation, develop talent, and manage resources, budgets, and vendor relationships.

Risk Management & Governance – Ensure responsible AI use by monitoring regulations, managing deployment risks, and maintaining compliance with internal and external standards.

Manage DX Innovation personnel through effective guidance, mentoring and conducting required performance assessments.

Oversee regional DX-Innovation projects, and other tasks as assigned to the DX-Innovation department.

Create and manage the annual DX-Innovation expense & fixed asset budget planning.

Conduct regular operational meetings to ensure that daily activities and projects are being managed and monitored.

Establish and maintain positive working relationships with all sites through effective support and guidance.

Provide DX-Innovation related advice to the regional business management team.

Oversee critical situations, which may involve complex technical problems with AI solutions, Microsoft Fabric, or other new technologies.

Work closely with system engineering and DX infrastructure, security, and application service teams to further the push to standardization.

Other tasks and duties as assigned.

Required Skills and Abilities

Essential Skills and Experience:

10+ years of Leadership experience in Technology, Digital Transformation, Operations, or Business Management.

5+ years of experience leading AI, advanced analytics, machine learning, or data-driven initiatives.

Experience managing large-scale transformation programs.

Strong organization, leadership and interpersonal skills, with the ability to effectively interact with DX-Strategy stakeholders.

Strong understanding of AI, machine learning, generative AI, and analytics.

Proven proficiency in managing large teams and delivering high-quality services.

Leading personnel, performance assessments, training, and mentoring.

Experience supporting a global manufacturing environment.

Experience managing and interacting with DX-Innovation related vendors.

Proven experience contributing to DX-Innovation strategic planning initiatives.

Excellent verbal, administrative and written communication skills.

Excellent analytical and problem-solving abilities, with a focus on continuous improvement.

Beneficial Skills and Experience

Proven track record delivering measurable business outcomes.

Executive communication and stakeholder management.

Financial management and ROI evaluation.

Change management and organizational leadership.

Data governance, cybersecurity, and regulatory awareness.

Vendor and partnership management.

Ability to focus on predictive maintenance, quality control, supply chain optimization, engineering productivity, and factory automation.

Automotive industry experience a plus.

Keen ability to discern the long-term impact of decisions and policies.

Education/Training/Certifications

Bachelor's degree in Business, Engineering, Computer Science, Data Science, Information Systems, or a related field.

Master's degree (MBA, Data Science, Computer Science, or related discipline) preferred.