Dir Operations
Tasks
- Assess emerging AI technologies for industrial relevance
- Build AI capability and drive change leadership
- Build reliable operations data foundations
- Convert pilots into scalable operating models
- Create training standards playbooks and communities of practice
- Define AI for Operations roadmap
- Define AI prioritization based on value feasibility and scalability
- Define reusable patterns reference architectures and governance practices
- Embed AI into core operating processes and frontline workflows
- Establish AI lifecycle governance and monitoring
- Guide end to end AI solution architecture
- Identify prioritize frame AI use cases
- Improve shop floor and supply chain decision making
- Integrate AI into lean operating systems and standard work
- Integrate AI with ERP MES QMS CMMS WMS and planning systems
- Lead AI enabled transformation across operations functions
- Lead AI value delivery from concept through sustainment
- Oversee AI production deployment and ensure reliability and security
- Tie AI initiatives to operational outcome metrics
- Translate operational challenges into AI solution designs
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | APS | Agile delivery | Artificial Intelligence | Auditability | CMMS | Cloud Platforms | Computer Vision | Continuous Improvement | Cybersecurity | Data Governance | Data Lineage | Data Quality | Data platforms | Digital Twin | ERP | Enterprise Architecture | Explainable AI | Generative AI | Industrial IoT | Kaizen | Lean Manufacturing | MES | Machine Learning | Model Deployment | Optimization | Performance Management | Problem Solving | Qms | SCADA | System Integration | Tiered management | Visual management | WMS
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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