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Shell brand, metro location, broad data science/process-mining skills create high applicant density.
Strong process-mining, enterprise systems, and consulting experience required limits cross-industry transferability.
Explicit 10–12 years plus 6+ analytics and 3+ process-mining requirements make shortlisting highly strict.
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Lead process-mining consulting engagements to translate business challenges into analytical problem statements and deliver measurable digital process transformations.
Collaborate with global/regional stakeholders to identify inefficiencies and design integrated process data models for enterprise event data (SAP, Salesforce, ServiceNow).
Guide delivery of AI/ML and analytics solutions ensuring strategic alignment, technical excellence, and measurable value (e.g. cycle-time reduction, cost efficiency).
10–12 years total experience, including 6+ years in analytics consulting and 3+ years in process-mining consulting or leadership.
Bachelor’s or Master’s degree in Mathematics, Statistics, Economics, Data Science, Engineering, Technical Finance, or related quantitative field.
Strong proficiency in process-mining tools (Celonis EMS, SAP Signavio, PM4Py) and programming skills in Python, SQL.
Experience with enterprise system data integration (SAP, Salesforce, HANA, ServiceNow) and cloud analytics platforms (Azure, AWS, GCP).
Experienced leader combining deep hands-on analytics and consulting to deliver measurable business outcomes via process mining and AI/ML.
Proven ability to guide cross-functional teams and translate complex analytics into clear, persuasive business storytelling for executive decision-making.
Familiarity with Agile, MLOps workflows, responsible AI principles, and active engagement in professional analytical and digital transformation communities.