Back
Tier-1 brand, mid-level 5–10 years range, and a generalist managerial data role increase competition.
Requires Order-to-Cash, ERP and process-mining domain experience, limiting cross-industry transferability.
Explicit 5–10 years plus 3 years management and many mandatory technical skills.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead and manage a team of data scientists and analysts to deliver scalable, data-driven solutions improving Sales Order Management (SOM) process quality, cycle times, and automation rates.
Own the strategy and governance of the business rules engine for SOM, driving continuous optimization and integration of automated controls to reduce defects and rework.
Drive process mining, predictive analytics, AI adoption, workflow automation, and operational excellence initiatives to enhance global Order-to-Cash operations performance.
5 to 10 years of experience in data science, advanced analytics, process optimization, or automation with at least 3 years in people management.
Experience in Order-to-Cash (O2C), Sales Order Management, or Customer Operations.
Technical proficiency in Python, SQL, Pyspark, machine learning frameworks (Scikit-learn, XGBoost, TensorFlow, or PyTorch), data visualization (Power BI or Tableau), process mining tools (e.g., Celonis), and workflow automation/RPA platforms (UiPath, Power Automate, Automation Anywhere, or Blue Prism).
Work Experience Required: 5 to 10 years in relevant fields with management experience.
Experienced leader capable of managing cross-functional teams and engaging senior stakeholders in finance, sales, compliance, and technology domains.
Strong expertise in integrating data science, business rules engines, and automation to operationalize AI solutions within complex global financial operations.
Proven track record in driving measurable business outcomes through analytics, process improvement, and digital transformation in Order-to-Cash environments.