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 scienceUI Path, RPA, manufacturing, QAD ERP, SQL, Celonis, SignavioMinimum 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.#J-18808-Ljbffr