AI Site Lead – Manufacturing AI Transformation

Bouskoura, Casablanca-Settat

Publié il y a moins de 21 jours

Décryptage du poste par Postule AI

Résumé du rôle

AI Site Lead role at STMicroelectronics responsible for driving AI transformation and value realization at manufacturing sites. The position requires a strong combination of manufacturing experience (5+ years), AI/data understanding (3+ years), project leadership, and cross-functional stakeholder management. The role bridges site operations with central AI teams, owns AI strategy and roadmap, governs project portfolios, ensures business value delivery, and drives adoption of AI-enabled manufacturing practices. Ideal candidate has engineering/master degree, multinational organization experience, and preferably semiconductor or advanced manufacturing background.

Exigences clés (estimation)

Define and maintain 1–3 year AI roadmap aligned with business priorities; identify manufacturing opportunities for AI/analytics to improve quality, productivity, yield and
Own and govern site-level AI portfolio from opportunity identification through deployment and adoption; initiate and steer projects with domain experts, analysts, project
Establish business KPIs and value targets for AI initiatives; track realized benefits including yield, quality, productivity, cost reduction, equipment efficiency and downtime
Act as primary AI focal point for the site; build relationships with site management, operations, engineering, quality and IT; coordinate resources and facilitate collaboration
Promote AI awareness and adoption; identify competency and training requirements; develop network of AI Champions and Domain Experts; drive adoption of AI-enabled ways of working
Ensure site AI activities comply with portfolio governance and project methodology; provide regular portfolio status and KPI reporting to site management and steering committees

Compétences

Manufacturing knowledge and understanding of processes, equipment, quality, yield and operational KPIsAI and data understanding including opportunities, requirements, limitations and deployment considerationsBusiness acumen to translate AI projects into measurable operational and financial valueProject leadership to structure, prioritize and drive multiple AI initiativesStakeholder management and influencing across Engineering, Operations, IT, Quality and ManagementChange leadership to drive adoption and new AI-enabled ways of workingCommunication skills to explain technical topics to both technical teams and senior managementProblem solving with strong analytical approach to manufacturing and business challenges

Niveau estimé

Senior-level position requiring minimum 5 years manufacturing experience plus 3 years with AI/analytics/digital transformation. Candidate should have led cross-functional projects, worked in multinational organizations, and preferably have semiconductor or advanced manufacturing background with production AI deployment experience.

Attributs détectés par l’IA (si absents de l’offre)

Type de poste: full-time
Mode de travail: Sur siteConfiance 100%
Fonction: OpérationsConfiance 90%
Secteur: IndustrieConfiance 95%
Niveau d'études: Ingénieur / École d'ingénieursConfiance 90%
Langues: AnglaisConfiance 85%

Cette analyse a été générée automatiquement par Postule AI à partir de l'offre.

Role Purpose

The AI Site Lead is responsible for driving AI transformation and value realization at the manufacturing site. This 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.

Key Responsibilities

Site AI Strategy & Roadmap: Define and maintain a 1–3 year AI roadmap aligned with business priorities; identify manufacturing opportunities where AI can improve quality, productivity, yield, and operational efficiency; build and maintain the site AI project pipeline; prioritize initiatives based on business impact and feasibility.
AI Portfolio & Project Delivery: Own and govern the site-level AI portfolio from opportunity identification through deployment; initiate and steer AI projects with domain experts, business analysts, project managers, data scientists and engineers; ensure projects have clearly defined objectives, scope, expected value, resources and milestones; identify roadblocks and coordinate stakeholders.
Business Value Realization: Be accountable for AI outcomes and value realization; establish business KPIs and value targets; track realized benefits including yield improvement, quality improvement, productivity, cost reduction, equipment efficiency and downtime reduction; ensure solutions move beyond proof-of-concept into production adoption.
Stakeholder & Resource Coordination: Act as the primary AI focal point for the site; build strong relationships with site management, operations, engineering, quality and IT; coordinate site AI resources across projects; bridge the site organization with central Manufacturing Data Science teams; facilitate collaboration between domain experts and technical AI teams.
AI Adoption & Capability Building: Promote AI awareness and adoption within the manufacturing organization; identify site AI competency and training requirements; develop and support a network of AI Champions and Domain Experts; drive adoption of AI-enabled ways of working and help embed AI into daily operations.
Governance & Communication: Ensure site AI activities comply with portfolio governance and project methodology; provide regular portfolio status and KPI reporting to site management; represent the site during steering committee reviews; communicate achievements, issues, risks and support requirements to senior stakeholders.

Required Qualifications

Minimum Engineer or Master degree in Manufacturing Engineering, Electrical/Electronics Engineering, Mechanical Engineering, Industrial Engineering, Computer Engineering, Data Science, AI, or similar discipline
At least 5 years of manufacturing experience, preferably in complex industrial or high-volume manufacturing environments
At least 3 years of practical experience with Data, Analytics, Digital Transformation and/or Artificial Intelligence initiatives
Demonstrated experience working within multinational organizations and across multiple departments and functions
Experience leading or coordinating cross-functional projects involving technical and business stakeholders

Preferred Experience

Semiconductor or advanced manufacturing experience
Experience deploying AI/analytics solutions into production manufacturing environments
Experience with AI use cases such as computer vision, predictive analytics, equipment intelligence, process optimization, yield and quality analytics, predictive maintenance, and intelligent automation
Project or program management experience
Exposure to Data Engineering, MLOps, data governance and AI platforms

Key Competencies

Manufacturing Knowledge: Strong understanding of manufacturing processes, equipment, quality, yield and operational KPIs
AI & Data Understanding: Able to understand AI/analytics opportunities, requirements, limitations and deployment considerations
Business Acumen: Able to translate AI projects into measurable operational and financial value
Project Leadership: Able to structure, prioritize and drive multiple AI initiatives
Stakeholder Management: Comfortable influencing Engineering, Operations, IT, Quality and Management
Change Leadership: Able to drive adoption and new AI-enabled ways of working
Communication: Able to communicate technical topics clearly to both technical teams and senior management
Problem Solving: Strong analytical approach to manufacturing and business problems

Cette description d'emploi a pu être reformatée par Postule pour améliorer sa lisibilité et sa présentation. Le contenu et les informations restent fidèles à l'offre d'emploi originale. .

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