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Tier-1 Shell and Chennai metro raise competition, seniority and niche process-mining focus moderate applicant density.
Role requires specialised process-mining consulting experience and domain knowledge, limiting transferability across industries.
Explicit 10–12 years plus 6+ analytics and 3+ process-mining years make filters highly rigid.
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Lead data science consulting engagements focused on process mining and digital process transformation to drive measurable operational improvements.
Collaborate with global business teams to identify inefficiencies and oversee design of process data models ensuring high-quality event data from enterprise systems.
Guide delivery of AI/ML solutions aligned with strategic priorities, and mentor data scientists while championing analytics adoption across regions and functions.
10–12 years total experience with at least 6 years in analytics consulting and 3+ years in process-mining consulting or related leadership roles.
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, PM4Py), process data modeling, and AI/ML solution delivery using process-centric data.
Proficiency in Python, SQL, experience with enterprise systems data (SAP, Salesforce, ServiceNow), and familiarity with cloud analytics platforms (Azure, AWS, GCP).
Experienced leader combining deep analytical and consulting skills focused on process analytics within global or consulting environments.
Proven ability to translate complex process data into actionable business insights and influence executive decision-making through analytical storytelling.
Operating style emphasizes cross-functional collaboration, strategic problem-solving, and driving measurable value from process mining and AI-powered solutions.