Name of the position: UI Path Process Mining Consultant
Location: Remote
No. of resources needed : 01
Mode: Freelance
Years of experience: 15+ Years
Shift : US shift
Job Summary:
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. Familiarity with QAD ERP systems and strong integration knowledge is essential. This role will involve working with cross-functional stakeholders to uncover inefficiencies, enable process transparency, and drive data-led decision-making for continuous improvement.
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/Master’s degree in Engineering, Computer Science, Operations, or a related discipline.
15–20 years of experience in the manufacturing sector, with a focus on process improvement, automation, or digital transformation.
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.
Strategic mindset with a track record of driving value through data and automation.
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.