Deputy Engineer - PAE - SAP

Job Title: Senior Engineer –Data Analytics Job Summary The Senior Engineer – AI Automation & Data Analytics is responsible for designing, implementing, and optimizing AI-driven automation systems and advanced data analytics solutions to improve operational efficiency, productivity, and business decision-making. This role combines industrial automation expertise with data engineering, machine learning, and digital transformation initiatives. Key Responsibilities AI Automation - Develop and implement AI-based automation solutions for manufacturing, production, and business processes. - Identify automation opportunities to improve efficiency, reduce downtime, and optimize costs. - Lead predictive maintenance, process optimization, and intelligent control projects. - Collaborate with cross-functional teams for system integration and digital transformation. Data Analytics - Collect, clean, and analyze large datasets from industrial equipment, ERP systems, and operational processes. - Develop dashboards, reports, and KPIs using tools such as Power BI, Tableau, or Python. - Build predictive and prescriptive analytics models to support business decisions. - Monitor production performance, quality trends, and operational metrics. - Ensure data accuracy, governance, and security compliance. Project Management - Lead automation and analytics projects from concept to deployment. - Coordinate with vendors, internal teams, and stakeholders. - Prepare technical documentation, SOPs, and training materials. - Provide mentorship to junior engineers and technical staff. Required Qualifications - Bachelor’s degree in: - Computer Engineering - Electrical/Electronics Engineering - Mechatronics - Data Science Experience - 2–5 years of experience in: - Industrial automation - AI/ML implementation - Data analytics - Manufacturing or process industries Technical Skills - Python, SQL, R, or similar programming languages - Power BI / Tableau / Excel Advanced Analytics - ERP/MES systems - Cloud platforms (Azure, AWS, Google Cloud) - Knowledge process control systems Soft Skills - Strong analytical and problem-solving abilities - Leadership and team management - Excellent communication and reporting - Strategic thinking - Project planning and execution Key Performance Indicators (KPIs) - Process automation efficiency improvements - Reduction in downtime - Predictive maintenance success rate - Data reporting accuracy - Cost savings from AI initiatives - Project completion timelines Preferred Certifications - Data Analytics or AI certifications - Six Sigma / Lean Manufacturing