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Tier-1 brand, Bengaluru metro, mid-level ML manager role with broad skills drives high competition.
Role requires O2C, SOM, ERP and process-mining experience, making cross-industry transfer limited.
Explicit 5–10 years, 3 years management, and specific ML/process-mining/automation tech make hiring filters strict.
Lead design, development, and optimization of data-driven solutions to enhance Sales Order Management (SOM) processes and improve order quality, cycle times, and automation rates.
Manage and mentor a team of data scientists and analysts supporting global Order-to-Cash (O2C) operations to embed intelligence into operational workflows and drive measurable improvements.
Define and own SOM Business Rules Engine strategy, partner with stakeholders to translate operational requirements into automated decision rules, and continuously optimize rule performance.
5 to 10 years of experience in Data Science, Advanced Analytics, Process Optimization, or Automation.
3 years of people management experience.
Experience supporting Order-to-Cash (O2C), Sales Order Management, or Customer Operations.
Technical proficiency in Python, SQL, Pyspark, machine learning frameworks (e.g., Scikit-learn, XGBoost, TensorFlow, PyTorch), and process mining tools; familiarity with workflow automation/RPA platforms and ERP systems.
Experienced leader capable of managing and mentoring cross-functional analytics teams within global financial or operational environments.
Strong strategic thinker with expertise in embedding AI and automation solutions in Sales Order Management or Order-to-Cash processes.
Skilled at stakeholder engagement across business and technology teams to drive governance, adoption, and continuous improvement of data-driven operational workflows.