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Tier-1 brand and mid-level manager title increase competition, but niche O2C/process-mining skills narrow the pool.
Strong Order-to-Cash, SOM, ERP and process-mining domain requirements limit cross-industry transferability.
Explicit 5–10 years, 3 years management, domain O2C experience and specific tech stack create strict filters.
Lead a team of data scientists and analysts to develop and optimize data-driven solutions improving Sales Order Management (SOM) processes globally.
Own the strategy and governance for the Business Rules Engine to automate decision rules, reduce defects, and enhance order quality and cycle times.
Drive predictive analytics, AI model deployment, automation initiatives, and operational excellence to increase automation rates and operational efficiency in Order-to-Cash (O2C) operations.
5 to 10 years of experience in Data Science, Advanced Analytics, Process Optimization, or Automation with minimum 3 years in people management.
Experience supporting Order-to-Cash (O2C), Sales Order Management or Customer Operations functions.
Proficiency in Python, SQL, Pyspark, data visualization tools (Power BI, Tableau), and machine learning frameworks (Scikit-learn, XGBoost, TensorFlow, or PyTorch).
Experience with process mining tools (e.g., Celonis), workflow automation/RPA platforms (UiPath, Power Automate, Automation Anywhere, Blue Prism), and ERP systems (Siebel, CPQ, SAP, Oracle, Salesforce).
Experienced leader capable of managing cross-functional teams and partnering with senior stakeholders across Sales, Finance, Technology, and Compliance.
Strong domain expertise in Sales Order Management or Order-to-Cash processes with demonstrated success in driving measurable business outcomes through analytics and automation.
Technically proficient in data science, AI/ML, process mining, and workflow automation, capable of translating operational challenges into scalable intelligent solutions.