Automotive Industry AI Adoption Specialist
MDAEdge · Auburn Hills, MI · 1 mo ago
On-siteOTHRFull-time
Job Summary
We are looking for an AI Adoption Specialist to join our team and drive AI adoption and innovation across BorgWarner.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, Business, or a related field.
- 3-5 years of experience in technology, analytics, digital transformation, or related fields.
- AI, machine learning, or data-driven solutions experience is a plus.
- Strong interest in AI, machine learning, and digital transformation.
- Prior experience in AI is a plus but not required.
- Excellent communication in English and collaboration skills, with the ability to work effectively with both IT and business teams.
- Analytical mindset with the ability to identify problems and propose innovative solutions.
- Familiarity with Power BI, RPA, or related technologies is an advantage.
- Self-motivated, proactive, and eager to learn about AI and its applications in the automotive industry.
- Understanding of AI vendors and solutions in the global market.
- Experience in knowledge management or maintaining centralized repositories.
- Ability to travel periodically within the North America region.
Responsibilities
- Market and Trend Analysis: Stay informed about AI trends, opportunities, and key vendors. Understand the competitive landscape and emerging technologies.
- Regional Collaboration: Periodically meet with each plant business team across North America to identify current challenges and propose AI solutions to address them. Document and share successful AI pilots across plants to promote knowledge sharing.
- Global Coordination: Work closely with the global AI team to share experiences, best practices, and lessons learned. Advocate for a unified approach to AI initiatives across regions.
- Knowledge Management: Maintain and update a centralized knowledge base and template library for AI, Power BI, and RPA solutions.
- Cross-Technology Support: Assist in managing Power BI and RPA initiatives alongside AI, ensuring alignment and efficiency across digital tools.