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Shell brand but senior, niche process‑mining skills limit applicant pool to moderate competition.
Requires process‑mining consulting, enterprise SAP/event‑data and analytics leadership, so background fit is highly specific.
Explicit 10–12 years plus 6+ analytics consulting and 3+ process‑mining years create highly strict filters.
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Lead data science and process-mining engagements to identify and implement process transformation opportunities delivering measurable business improvements.
Manage collaboration with cross-functional business and technical teams to design process data models and develop AI/ML-driven process analytics solutions aligned with strategic priorities.
Drive adoption of process-mining capabilities through organizational change, stakeholder engagement, and community leadership within the Digital Process Twin portfolio.
10-12 years total experience with 6+ years in analytics consulting and 3+ years in process-mining consulting or leadership within 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 expertise in process-mining tools (e.g., Celonis EMS, SAP Signavio) and process-centric AI/ML solution delivery with demonstrated business outcome impact.
Proficient in Python, SQL, process data modeling, and working with enterprise system data (SAP, Salesforce, ServiceNow); experience with cloud platforms (Azure, AWS, GCP).
Experienced in leading global, cross-functional teams applying advanced process-mining and AI techniques to operational and financial business domains for measurable transformation.
Skilled at translating complex analytical findings into persuasive business narratives and driving executive alignment towards data-driven decision-making.
Active in professional communities and industry forums with a track record of driving innovation, research collaboration, and applying disciplined, scalable data science delivery practices.