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ARSAN International Consulting Group

AI Transformation Manager (Manufacturing)

Remote — United States (see country and timezone requirements)

Check who can apply and the requirements below before continuing.

Job description

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

Fluent in English and Spanish

Knowledge:

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)

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.

Originally posted on Himalayas

Who can apply

Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.

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