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Strong employer brand and metro location, but niche process-mining seniority reduces applicant density.
Specialized process-mining and enterprise ERP consulting skills moderately limit cross-industry transferability.
Explicit 10–12 years, 6+ analytics and 3+ process-mining experience plus specific tool requirements increase strictness.
Lead process-mining consulting engagements to translate business challenges into data-driven transformation opportunities yielding measurable operational improvements.
Partner with global/regional stakeholders to identify inefficiencies and define process-analytics use cases aligned with Integrated Process Plan.
Oversee process data modeling, delivery of AI/ML solutions, and capability adoption to drive digital process transformation across operations.
10–12 years total experience with 6+ years in analytics consulting and 3+ years in process-mining or process-analytics leadership with global organizations or leading consulting firms.
Bachelor’s or Master’s degree in Mathematics, Statistics, Economics, Data Science, Engineering, Technical Finance, or related quantitative field.
Strong technical expertise in process mining tools (e.g., Celonis EMS, SAP Signavio), process data modeling, Python and SQL proficiency, and experience with enterprise data sources (SAP, Salesforce, ServiceNow).
Not explicitly mentioned in the JD: Notice period or strict location requirement.
Demonstrated ability to lead complex, global process-mining and AI/ML consulting engagements delivering measurable business outcomes across domains like Finance, Sales, and Supply Chain.
Experience collaborating across cross-functional teams and driving analytics adoption while mentoring other data scientists and engaging with academic and industry partners.
Strong strategic orientation combining analytical storytelling with technical delivery ensuring alignment with business priorities and enabling digital process transformation.