Remote AI Transformation Leader — Manufacturing

ARSAN International Consulting Group; Poland; Remote; PLN 296,359 - 381,033; Full time

Benefits offered by this job

Competitive salary and benefits package

International career growth opportunities

Dynamic and collaborative work environment

Job summary

ARSAN International Consulting Group is seeking an AI Transformation Manager to lead AI integration in manufacturing operations. This remote role requires a strong candidate with hands-on experience in implementing AI initiatives, driving measurable impact in efficiency and performance.

The ideal candidate will work collaboratively with plant leadership and cross-functional teams, ensuring AI projects align with business objectives. Candidates must possess at least a Bachelor’s degree in a relevant field and significant experience in manufacturing.

Qualifications

• 5+ years of experience in manufacturing operations or process engineering.
• 2-3 years of hands-on experience with AI in industrial environments.
• Experience leading cross-functional projects.

Responsibilities

• Lead AI-driven initiatives in manufacturing operations.
• Collaborate with teams to align AI initiatives to business goals.
• Monitor the performance and ROI of AI initiatives.

Skills

AI/ML implementation in manufacturing

Data analytics and visualization tools

Strong stakeholder management

Fluent in English and Spanish

Proven track record of AI initiatives

Education

Bachelor’s degree in Engineering or related field

Master’s degree

Tools

Power BI

Tableau

Python

SQL

Job description

ARSAN International Consulting Group is seeking an AI Transformation Manager to lead AI integration in manufacturing operations. This remote role requires a strong candidate with hands-on experience in implementing AI initiatives, driving measurable impact in efficiency and performance.

The ideal candidate will work collaboratively with plant leadership and cross-functional teams, ensuring AI projects align with business objectives. Candidates must possess at least a Bachelor’s degree in a relevant field and significant experience in manufacturing.