Overview

We are looking for a seasoned UI Path Process Mining Consultant with 15–20 years of experience in the manufacturing industry. The ideal candidate will have a deep understanding of manufacturing operations, extensive experience in process optimization, and hands-on expertise with UI Path Process Mining.

Location

City: UK

Country: United Kingdom

This position is available to applicants from both the United Kingdom and Latin America (LATAM)

Key Responsibilities

• Lead comprehensive Process Mining initiatives using UI Path across manufacturing business functions.
• Partner with stakeholders across operations, quality, supply chain, and IT to map and analyze critical processes.
• Integrate various enterprise systems, especially QAD ERP, MES, and PLM platforms, with the Process Mining tool.
• Interpret large volumes of data to identify bottlenecks, redundancies, and areas suitable for automation.
• Create visual dashboards, KPIs, and actionable reports to support executive decision-making.
• Collaborate with CoE teams to translate mined insights into automated process pipelines.
• Ensure compliance with audit and governance frameworks through detailed documentation and process transparency.
• Guide junior team members and act as a domain expert in manufacturing and process transformation.

Required Skills & Qualifications

• Bachelor's in computer science
• UI Path, RPA, manufacturing, QAD ERP, SQL, Celonis, Signavio
• Minimum 3–5 years of hands-on experience with UI Path Process Mining or similar tools (e.g., Celonis, Signavio).
• Proven experience with QAD ERP and understanding of its data structures and process flows.
• Deep knowledge of manufacturing business processes – including production, quality, logistics, and supply chain.
• Strong skills in SQL, data modeling, and business intelligence/reporting tools.
• Excellent communication skills with the ability to influence cross-functional stakeholders.

Preferred Qualifications

• UI Path certifications in Process Mining, Automation, or RPA.
• Exposure to Lean, Six Sigma, or other process improvement frameworks.
• Experience leading digital transformation projects in a manufacturing environment.
• Familiarity with integration platforms and data lakes.