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Strong Tier-1 brand, mid-level generalist role in Bangalore with broad data and automation skills.
Requires Order-to-Cash domain, ERP and process-mining experience, limiting cross-industry transferability.
Explicit 5–10 years, required people-management, and multiple mandatory technical and domain-specific tools.
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Lead design, development, and optimization of data-driven solutions improving Sales Order Management processes, focusing on order quality, cycle time reduction, and automation.
Manage a team of data scientists and analysts supporting global Order-to-Cash operations to deliver scalable predictive analytics, business rules engine, and workflow automation solutions.
Drive data-driven culture, stakeholder collaboration across sales, finance, compliance, and technology, and lead deployment of AI/ML and automation initiatives for operational excellence.
5 to 10 years experience in Data Science, Advanced Analytics, Process Optimization, or Automation.
Minimum 3 years people management experience.
Experience with Sales Order Management, Order-to-Cash, or Customer Operations domains.
Proficiency in Python, SQL, Pyspark; familiarity with machine learning frameworks, process mining tools, workflow automation, and ERP systems.
Experienced leader proven in managing data science teams to implement analytics and automation impacting global enterprise O2C operations.
Strong cross-functional stakeholder management skills at senior levels, capable of translating operational needs into automated business rules and AI solutions.
Hands-on expertise in advanced analytics, process mining, and intelligent automation within financial services or similar regulated environments.