Role Purpose

Lead end-to-end data and AI initiatives andautomate enterprise operations to deliver measurable impact acrossmanufacturing, supply chain, finance, and IT. This includes analyticsengineering, ML/MLOps, SAP S/4HANA operations automation, test automation, and data factory orchestration, working closely with plants, process owners, and enterprise application teams (S/4HANA, MDG/MDM, CPM, S&P, Workday).

Key Responsibilities

Strategy & Value Realization: Translate business problems into data/AI/automation solutions with clear ROI.

Data Engineering & Analytics: Design scalable data pipelines, model governed datasets, deliver BI assets.

AI/ML & Advanced Methods: Build/deploy predictive maintenance, quality analytics, supply chain models;operationalize ML with MLOps.

Enterprise Automation (S/4HANA,Testing, Data Factory): Automate SAP operations, implement test automation frameworks, orchestrate data pipelines.

Platforms, Integration & Governance: Use Databricks, Airflow, Azure Data Factory; integrate with SAP S/4HANA and MDG; enforce Responsible AI.

Stakeholder Management & Enablement: Partner with plant leaders, create reusable patterns, mentoranalysts.

Qualifications

Education: Bachelor's/Master's in Computer Science, Data Science, Engineering.

Experience: 7-12+ years in data analytics/AI and enterprise automation with proven impact in manufacturing/automotive.
Skills: Python, SQL, PySpark,ML frameworks (TensorFlow/PyTorch), SAP S/4HANA, MDG/MDM, automation tools (UiPath, Tricentis Tosca), orchestration tools (Airflow, Azure Data Factory).