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Tier-1 employer and metro location balanced by niche process-mining leadership role and seniority.
Requires specialized process-mining, enterprise-systems, and consulting experience, limiting cross-industry portability.
Explicit 10–12 years plus process-mining and consulting leadership requirements enforce stringent shortlisting.
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Lead and manage process-mining consulting engagements, translating business challenges into data-driven transformation opportunities with measurable impact on operational performance.
Collaborate with cross-functional business stakeholders globally to design process data models, develop AI/ML solutions, and ensure alignment with strategic priorities and measurable value realization.
Mentor data scientists while championing adoption of process-mining and analytics capabilities through workshops, enablement sessions, and collaboration with academic and technology partners.
10–12 years total experience, including 6+ years in analytics consulting and 3+ years in process-mining consulting or 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, PM4Py) and AI/ML solution delivery using process-centric data.
Proficiency in Python, SQL, process data modeling, and experience integrating data from enterprise systems (e.g., SAP, Salesforce, ServiceNow).
Experienced leader who combines deep hands-on analytical and consulting expertise with ability to translate complex data insights into business outcomes across finance, sales, procurement, or supply chain domains.
Strategic thinker skilled in partnering cross-functionally to identify inefficiencies, define transformation opportunities, and guide analytical teams to deliver measurable operational improvements.
Strong communicator adept in analytical storytelling and driving executive alignment on digital transformation initiatives using process mining and AI/ML technologies.