AI Transformation Manager (Manufacturing)

🏢 ARSAN International Consulting Group · all ARSAN International Consulting Group jobs
📍 United States
📅 Posted 2026-07-22 · via Himalayas
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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 - 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: - Compe

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