Job Description
The Senior Supply Chain Productivity and Efficiency Specialist is responsible for leading AI-driven initiatives to enhance supply chain operations, reduce manual work, and improve overall efficiency through advanced technologies and cross-functional collaboration.
Key Responsibilities
- Identify, design, and deliver AI-enabled improvements to reduce manual work, decision latency, and structural inefficiencies across supply chain functions
- Lead the integration of AI and Machine Learning technologies, including Large Language Models and workflow automation platforms, into supply chain operations
- Connect and unify supply chain data, processes, ERP systems, planning tools, and personnel into a cohesive, data-driven ecosystem
- Collaborate across departments to identify bottlenecks and proactively address product delivery delays
- Enhance operational efficiency and product quality through cross-functional teamwork and process optimization
Requirements
- Experience in identifying, designing, and delivering AI-enabled improvements that reduce manual work, decision latency, and structural inefficiencies across planning, sourcing, manufacturing, and logistics.
- Proven ability to spearhead the integration of advanced Artificial Intelligence (AI) and Machine Learning (ML) technologies, specifically leveraging enterprise Large Language Models (LLMs) such as GPT or Gemini, workflow automation platforms, and other internal AI tools to improve supply chain operations.
- Ability to connect disparate supply chain data, processes, Enterprise Resource Planning (ERP) systems, planning tools, and personnel into a cohesive, highly intelligent, and data-driven ecosystem.
- Demonstrated experience in transforming supply chain operations to achieve a minimum 10x increase in overall productivity and efficiency.
- Experience working within or leading cross-functional teams in supply chain management, including roles in industrial manufacturing, quality control, procurement, distribution logistics, or digital transformation.
- Ability to identify potential bottlenecks and proactively address product delivery delays through collaboration across departments.
- Knowledge of global industry regulations related to product supply chain and quality standards.
- Educational background or professional experience relevant to supply chain management, AI, or related fields (specific degree requirements are not explicitly stated but implied).
- Candidates must possess a valid EU visa and be based in Portugal, with no relocation assistance provided.
- Physical and logistical ability to work remotely in Portugal, adhering to the legal and operational requirements of the position.
Benefits & Perks
Health, dental and vision insurance
Meal allowance
Equity shares
Remote work allowance
Flexible working hours
Work from home
Discretionary vacation
Snacks and beverages
English class
Ready to Apply?
Join Sword and make an impact in renewable energy
Stay Updated on Sustainability Jobs
Get the latest renewable energy jobs and career tips delivered to your inbox.
Job Alerts
Get notified about new sustainability jobs