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This is a remote position.
AI Transformation Manager (Manufacturing)
Location: Remote (Mexico)
Industry: Global Manufacturing
Job Summary: 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.
Education:
Bachelor’s degree in Engineering, Industrial Engineering, Manufacturing, Computer Science, or related field
Master’s degree is a plus
Requirements:
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
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)
Competencies:
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
Responsibilities:
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 initiatives with business objectives
Translate operational challenges into scalable AI and data-driven solutions
Drive adoption and change management across operational teams
Monitor and evaluate performance and ROI of AI initiatives
Act as a key liaison between technical teams and business stakeholders
Stay current on emerging technologies and trends in AI and smart manufacturing
Preferred / Strong Plus:
Direct ownership or leadership of at least one AI implementation project in a plant environment
Experience with tools such as Python, SQL, or working with cloud platforms (AWS, Azure, GCP)
Experience scaling AI or digital solutions across multiple plants or regions
Exposure to enterprise digital transformation or Industry 4.0 programs
Lean Manufacturing / Six Sigma certification
Important Note: Candidates must demonstrate real-world application of AI solutions in operational environments. Conceptual or academic exposure alone will not be considered.
What Client Offers:
Competitive salary and benefits package
Opportunity to work in an international, growing, and innovative company
Professional development and career growth opportunities
Dynamic work environment with a focus on teamwork and collaboration
Equal Opportunity Statement: Our client is proud to be an equal-opportunity employer. We celebrate diversity and do not discriminate based on race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability status, or any other applicable characteristics protected by law.