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 • Fintech • Insurance • Marketing Tech • Software • Analytics
Handle inbound calls and warm leads, consult customers on insurance needs, recommend appropriate coverage, and convert prospects into policyholders. The role includes paid training and Property and Casualty licensing, customer relationship building, sales closing, and representing the Liberty Mutual brand. Employees work remotely on a fixed schedule that includes weekdays and one weekend day, with provided equipment and specified home-office internet requirements.
Top Skills:
PcWired High-Speed Internet
Healthtech • Software
Leads clinical integrity for utilization management programs and technology-enabled healthcare solutions. Reviews workflows for regulatory and evidence-based alignment, writes clinical requirements and acceptance criteria, conducts UAT, manages release readiness, audits client commitments, and maintains governance documentation. Partners with clinical, product, engineering, compliance, legal, and client teams while supporting implementations, feasibility reviews, and business growth. Requires an active clinical license, healthcare operations expertise, and experience with Medicare, Medicaid, commercial, and marketplace utilization management.
Top Skills:
AIInterqualMcg
Healthtech • Social Impact • Software
Leads Learning, Content, and Quality teams within Shared Services. Owns the strategic vision, operating models, onboarding curriculum, train-the-trainer programs, knowledge bases, quality processes, performance metrics, and AI enablement strategy. The role develops high-performing teams, reduces frontline ramp time and turnover, creates closed-loop feedback systems, and aligns training outcomes with operational KPIs while scaling support operations.
Top Skills:
Artificial Intelligence (Ai)Content Management Systems (Cms)Learning Management Systems (Lms)Quality Management Software
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
