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Job Title : AI SITE LEAD – Manufacturing AI TransformationFunction : Manufacturing / Digital Transformation / Artificial Intelligence
- Works closely with Site Operations, Engineering, Quality, Industrial Engineering, IT, Data Science, Data Engineering and central AI teams.
Role PurposeThe AI Site Lead is responsible for driving AI transformation and value realization at the manufacturing site.
The role acts as the key interface between the site organization and the central Manufacturing Data Science / AI@BEM organization, translating manufacturing priorities and business challenges into a structured AI roadmap and executable project portfolio.
The AI Site Lead owns the site AI strategy, project pipeline, execution governance, adoption and business value realization, while coordinating the appropriate technical and domain resources required to deliver and scale AI solutions.
The position requires a strong combination of manufacturing experience, AI/data understanding, project leadership and cross-functional stakeholder management.
Key Responsibilities* Site AI Strategy & Roadmap
* Define and maintain the site's 1–3 year AI roadmap aligned with AI@BEM strategy and site business priorities.
* Identify manufacturing opportunities where AI and advanced analytics can improve quality, productivity, yield, equipment performance and operational efficiency.
* Build and continuously maintain the site AI project pipeline.
* Prioritize AI initiatives based on business impact, feasibility, resources and strategic importance.
* Translate manufacturing needs into clearly defined AI use cases and business requirements.
* AI Portfolio & Project Delivery
* Own and govern the site-level AI portfolio from opportunity identification through deployment and adoption.
* Initiate and steer AI projects together with Domain Experts, Business Analysts, Project Managers, Data Scientists and Data Engineers.
* Ensure projects have clearly defined:
+ Business objectives
+ Project scope
+ Expected value
+ Technical and operational resources
+ Milestones and deployment plan
Role AccountabilityThe AI Site Lead Is Accountable For
- * Site AI strategy and roadmap
- Site AI project portfolio
- AI project prioritization
- AI business outcomes
- Business value delivery
- AI deployment and adoption
- Scaling and replication of AI solutions
- Site stakeholder coordination
- Site AI capability development
- Portfolio governance and reporting
The AI Site Lead Is Not Primarily Accountable For
- * AI model development
- Data pipeline development
- AI architecture design
- MLOps platform development
- Infrastructure provisioning
These technical activities are delivered in collaboration with Manufacturing Data Science, Data Scientists, Data Engineers, AI Infrastructure and other technical teams.
Candidate Profile
- * Minimum Engineer / Master related technical discipline.
Degree in Manufacturing Engineering, Electrical/Electronics Engineering, Mechanical Engineering, Industrial Engineering, Computer Engineering, Data Science, AI, or similar …* At least 5 years of manufacturing experience, preferably within a complex industrial or high-volume manufacturing environment.
* At least 3 years of practical experience working with Data, Analytics, Digital Transformation and/or Artificial Intelligence initiatives.
* Demonstrated experience working within a multinational organization.
* Demonstrated experience working across multiple departments and functions, for example Manufacturing, Engineering, Quality, IT, Data Science and Management.
* Experience leading or coordinating cross-functional projects involving both technical and business stakeholders.
Preferred Experience* Semiconductor or advanced manufacturing experience.
* Experience deploying AI/analytics solutions into production manufacturing environments.
* Experience in AI use cases such as:
+ Computer vision
+ Predictive analytics
+ Equipment intelligence
+ Process optimization
+ Yield and quality analytics
+ Predictive maintenance
+ Intelligent automation
- Project or program management experience.
- Exposure to Data Engineering, MLOps, data governance and AI platforms would be advantageous.
Key CompetenciesCompetency Expected CapabilityManufacturing KnowledgeStrong understanding of manufacturing processes, equipment, quality, yield and operational KPIsAI & Data UnderstandingAble to understand AI/analytics opportunities, requirements, limitations and deployment considerationsBusiness AcumenAble to translate AI projects into measurable operational and financial valueProject LeadershipAble to structure, prioritize and drive multiple AI initiativesStakeholder ManagementComfortable influencing Engineering, Operations, IT, Quality and ManagementChange LeadershipAble to drive adoption and new AI-enabled ways of workingCommunicationAble to communicate technical topics clearly to both technical teams and senior managementProblem SolvingStrong analytical approach to manufacturing and business problemsInfluencingAble to lead across functions even without direct hierarchical authorityMulticultural CollaborationAble to operate effectively within a multinational and multi-site organization
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At ST, we endeavor to foster a diverse and inclusive workplace, and we do not tolerate discrimination. We aim to recruit and retain a diverse workforce that reflects the societies around us. We strive for equity in career development, career opportunities, and equal remuneration. We encourage candidates who may not meet every single requirement to apply, as we appreciate diverse perspectives and provide opportunities for growth and learning. Diversity, equity, and inclusion (DEI) is woven into our company culture.
To discover more, visit st.com/careers.