Lead the integration of AI and digital solutions in manufacturing processes, driving adoption and measurable impact on efficiency, quality, and performance.
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.
Similar Jobs
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Design, build, and optimize scalable ETL/data pipelines (SQL Server, Snowflake, Databricks) for large healthcare datasets. Support production cycles, monitor and resolve issues, perform root cause analysis, ensure data quality, conduct code reviews, estimate work, and partner with stakeholders to deliver reliable data solutions.
Top Skills:
.NetAzureDatabricksOraclePythonSnowflakeSQLSQL ServerSsisTeradata
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Partner with healthcare clients to design, prototype, and deploy production-grade AI/LLM solutions. Lead discovery, architecture, and delivery of cloud-native, scalable systems; translate business needs into technical roadmaps; integrate models, APIs, and automation; and drive measurable client outcomes while enabling transition to production teams.
Top Skills:
Ai AgentsAPIsAWSAzureClaudeCloud-NativeCodexCopilotsData IntegrationDistributed SystemsGCPLlmsMachine LearningModel DeploymentPrompt Engineering
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Lead multi-site pharmacy operations in Michigan, build and maintain clinic partnerships, drive patient acquisition and business growth, ensure regulatory and HIPAA compliance, manage regional finances and security, recruit and develop high-performing teams, and serve as liaison to community mental health centers.
What you need to know about the Charlotte Tech Scene
Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus
