remote
AI Transformation Manager Manufacturing - ARSAN International Consulting Group
Software Engineer
Lead AI integration in manufacturing, driving efficiency, quality, and performance improvements through advanced digital solutions and data-driven process optimization.
About the role
This is a remote position.
- Location: Remote (Mexico)
- Industry: Global Manufacturing
- Our client, a global manufacturing organization, is seeking an AI Transformation Manager to lead the integration of artificial intelligence and advanced digital solutions into its operational environment.
- This role is responsible for driving the adoption of AI within real-world manufacturing processes, ensuring measurable impact across efficiency, quality, and performance. The ideal candidate will bring hands-on experience implementing AI initiatives in industrial settings and the ability to bridge operational needs with advanced technology solutions.
- Bachelor’s degree in Engineering, Industrial Engineering, Manufacturing, Computer Science, or related field
- Master’s degree is a plus
- 5+ years of experience in manufacturing operations, process engineering, or industrial environments
- Minimum 2–3 years of direct, hands-on experience implementing AI or advanced data-driven solutions in manufacturing or industrial settings (required)
- Proven track record delivering measurable business impact from AI initiatives (e.g., OEE improvement, scrap reduction, cost savings, predictive maintenance results)
- Experience collaborating with data science, analytics, or AI engineering teams to deploy solutions into production environments
- Strong understanding of manufacturing processes (automotive, metal, electronics, or similar industries preferred)
- Experience managing cross-functional projects involving operations, IT, and digital teams
- Strong stakeholder management and communication skills
- Fluent in English and Spanish
- Applied AI/ML in manufacturing (predictive maintenance, computer vision, anomaly detection, demand forecasting)
- Industrial data ecosystems (MES, SCADA, IoT platforms, ERP integration)
- Data analytics and visualization tools (Power BI, Tableau, or similar)
- Understanding of AI/ML lifecycle (data preparation, model development, validation, deployment, monitoring)
- Industry 4.0 and smart manufacturing concepts
- Continuous improvement methodologies (Lean Manufacturing, Six Sigma)
- Strategic thinking with strong execution capability
- Ability to translate complex technical concepts into business value
- Strong leadership and influence skills across multiple levels of the organization
- Change management and adaptability in dynamic environments
- Results-oriented with a focus on measurable impact
- Excellent communication and interpersonal skills
- Lead the identification, prioritization, and execution of AI-driven initiatives within manufacturing operations
- Define and implement use cases such as predictive maintenance, quality optimization, and process automation
- Collaborate with plant leadership, engineering, IT, and data teams to align AI