Assistant Manager - IT & MIS (Data & AI Engineer) - For Multinational Manufacturing Organization - Job ID : 1418723

Multinational Manufacturing Organization is looking for Assistant Manager - IT & MIS (Data & AI Engineer)Job Description / ResponsibilityDesign, build, and maintain scalable and secure data pipelines across cloud and on-prem environments.Integrate data from ERP (e.g., SAP), BI platforms (e.g., SAC), and external sources into centralized data lakes or warehouses.Optimize ETL/ELT processes for performance, reliability, and cost-efficiency.Define and implement data quality rules, validation checks, and cleansing routines.Collaborate with business and IT teams to ensure data accuracy, consistency, and completeness.Monitor data lineage and metadata to support compliance and audit readiness.Partner with data scientists and analysts to operationalize AI/ML models.Support use cases such as forecasting, anomaly detection, and intelligent automation (e.g., RPA, OCR).Enable self-service analytics and reporting through platforms like Power BI, SAC, or Tableau.Work closely with cross-functional teams including IT, business improvement, and factory operations.Mentor junior engineers and analysts, fostering a culture of innovation and continuous learning.Act as a bridge between technical teams and business stakeholders to translate requirements into scalable solutions.Educational RequirementsBachelor of Science (BSc) in Computer Science & EngineeringBachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.Experience Requirements5 to 6 year(s)The applicants should have experience in the following business area(s):GarmentsAdditional RequirementsMinimum 5-6 years of experience in data engineering, analytics, or AI/ML implementation. Strong proficiency in SQL, Python, Spark, and cloud platforms (Azure, AWS, GCP).Experience with data quality tools, governance frameworks, and metadata management. Familiarity with AI/ML lifecycle, model deployment, and MLOps practices.Excellent communication, problem-solving, and stakeholder management skills.