Process Mining Lead

Stellantis • Auburn Hills, MI

3d

About The Position

We are building an AI-enabled supply chain that senses, predicts, prescribes, and acts. As the Process Mining Lead, you will own end-to-end process discovery and analysis across supply chain domains (plan, source, make, deliver), using event logs and process mining platforms (e.g., Celonis) to create a fact-based view of how work actually flows—identifying bottlenecks, rework, delays, and compliance gaps that impact service, cost, and cycle time—and translating insights into a prioritized pipeline of automation and AI opportunities in partnership with operations, RPA, and data/AI teams.

Requirements

• Bachelor’s or Master’s degree in Engineering, Analytics, Information Systems, or a related field
• 8+ years of professional experience, including 3+ years in supply chain, ERP, or operations process analysis
• Proven ability to operate independently and own discovery-to-impact: event log requirements, analysis, recommendations, benefits tracking, and stakeholder alignment with minimal oversight
• Strong experience with process mining tools (Celonis, UiPath, Signavio, etc.)
• Deep understanding of process modeling, event logs, and process KPIs
• Ability to translate process insights into actionable recommendations
• Experience working with supply chain, operations, or ERP data
• Strong analytical and visualization skills
• Basic knowledge of SQL and data engineering concepts

Nice To Haves

• Certifications in Celonis, Signavio, or UiPath Process Mining
• Experience building process intelligence dashboards and KPI frameworks
• Background in Lean, Six Sigma, or operational excellence
• Experience partnering with automation, data, and AI teams to drive transformation

Responsibilities

• Lead process discovery, mapping, and analysis using process mining platforms (Celonis)
• Build validated process maps that reflect real execution paths, bottlenecks, deviations, and inefficiencies
• Quantify inefficiencies, rework, delays, and compliance gaps across supply chain processes
• Translate analytical findings into actionable input to process redesign initiatives
• Partner with RPA, AI, and operations teams to identify automation and optimization opportunities
• Develop dashboards, KPIs, and insights that support continuous improvement
• Establish data pipelines and event log structures required for process mining
• Drive process governance and standardization across functions

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level