AI Implementation Specialist - Supply Chain and Procurement Department

 Posted 23 days ago
  
 Sweden
  
5-10 years experience
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AI Summary

The role focuses on translating AI initiatives into practical workflows for the Supply Chain and Procurement department to improve productivity and decision support. Responsibilities include mapping workflows, implementing AI-supported solutions, and partnering with IT and legal teams to ensure scalable and safe adoption.

Invera Talent INC · United States


Role Overview

We are seeking an AI Implementation Specialist for the Supply Chain and Procurement department. This role is designed for a hands-on professional who can translate AI initiatives into practical, day-to-day departmental workflows.

The successful candidate will work with procurement leaders, supply chain teams, planners, logistics teams, finance, operations, legal, suppliers, and IT to identify high-value use cases, redesign processes, implement AI-enabled ways of working, and drive adoption across the department.

This is a transformation role focused on delivering measurable improvements across supplier analysis, demand forecasting, inventory planning, spend analysis, sourcing workflows, logistics monitoring, and related operating routines.


Mission of the Role

The mission is to help the Supply Chain and Procurement department use AI to improve quality, speed, decision support, and employee productivity while maintaining appropriate controls.

The specialist will convert business needs into practical AI workflows, support tool configuration and adoption, and help teams determine where AI should assist, where human judgment is required, and how performance should be measured.


Core Responsibilities

Map Supply Chain and Procurement workflows and identify where AI can reduce manual effort, improve consistency, accelerate analysis, or strengthen decision support.

Translate business problems into AI use cases, workflow designs, adoption plans, governance requirements, and measurable success criteria.

Implement AI-supported solutions across supplier analysis, demand forecasting, inventory planning, sourcing preparation, logistics monitoring, supplier risk analysis, and contract review support.

Conduct discovery interviews, process reviews, data-readiness assessments, and stakeholder workshops.

Configure and/or support the deployment of AI assistants, automation workflows, dashboards, knowledge tools, prompt libraries, and review checkpoints.

Partner with IT, data, security, legal, and compliance stakeholders to ensure that AI use is safe, scalable, and aligned with enterprise policies.

Develop implementation documentation, workflow instructions, user guides, and adoption materials.

Monitor progress through business metrics, user adoption indicators, quality checks, and post-implementation reviews.


Required Experience and Capabilities

Experience in Supply Chain and Procurement transformation, digital operations, process improvement, AI implementation, consulting, or enterprise technology adoption.

Strong understanding of supplier analysis, demand forecasting, inventory planning, sourcing workflows, logistics monitoring, and procurement operations.

Ability to translate business needs into structured workflows and implementation plans.

Familiarity with ERP systems, procurement platforms, planning tools, supplier management systems, logistics systems, analytics platforms, and enterprise AI tools.

Working knowledge of generative AI, automation, analytics, knowledge management, prompt design, and human-in-the-loop review models.

Understanding of supplier risk, forecast uncertainty, operational disruption, commercial sensitivity, and responsible decision-making in procurement environments.

Strong stakeholder communication and facilitation skills.

Ability to work independently in a global remote-first environment.


How to Apply

Please submit a CV or professional profile along with a short note describing relevant AI implementation or AI training experience, department-specific expertise, and examples of business impact.

Portfolio materials, workshop examples, playbooks, prompt libraries, process maps, or case studies may be included where appropriate.

The selection process will prioritize practical capability, communication quality, sound business judgment, and the ability to make AI effective in real departmental workflows.

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