Process Engineering & Data Analytics Manager (On-Site Saudi Arabia)

This role combines deep domain expertise in Oil & Gas / Process industries with advanced analytics, AI/ML, and simulation skills to deliver high-impact solutions, optimize operations, and support business growth. The candidate will play a hybrid role across delivery, consulting, and pre-sales, bridging engineering knowledge with data-driven insights. Job Description – Process Engineering Consultant Key Responsibilities: AI, Analytics & Digital Solutions: •Design and implement AI/ML, predictive analytics, and optimization solutions for industrial use cases •Develop predictive maintenance, process optimization, and performance monitoring models •Work with data platforms, data engineering pipelines, and MLOps frameworks •Apply advanced analytics, including machine learning, GenAI, and AI agents, where relevant •Integrate AI solutions with process simulation and real-time systems Process Engineering and Simulation: •Develop and deploy steady-state and dynamic simulation models for Oil & Gas, Refining, and Petrochemical processes •Lead the development of process optimization, debottlenecking, and control studies •Build and analyse models for equipment such as distillation columns, reactors, furnaces, heat exchangers, and rotating equipment •Execute real-time optimization (RTO) process applications •Strong understanding of Refinery / Petrochemical Processes.

Consulting & Client Engagement: •Engage with clients to understand business challenges and translate them into technical solutions •Support pre-sales activities, including solution positioning, demos, and technical presentations •Contribute to RFP/RFI responses, proposals, and solution architecture design •Interface with stakeholders across industrial and public sector organizations •Ensure high-quality, timely project delivery aligned with scope and client expectations Skills & Experience: Bachelor’s degree in engineering (with master’s or any advanced degree, diploma, or certificates in AI) •10 years of experience in Oil & Gas, Refining, Petrochemical, Utilities, Power or Process industries •Strong understanding of process engineering, operations, and control systems •Knowledge of Process simulation tools, APC, Real-Time Optimization, and First-Principles modeling •Hands-on experience in AI/ML, predictive analytics, or data science applications in industrial settings •Hands-on experience with tools such as Python, TensorFlow, PyTorch, and scikit-learn •Understanding of data platforms and cloud ecosystems (AWS, Azure, GCP, OCI, etc.) •Exposure to data engineering, data governance, and MLOps •Strong experience in pre-sales, proposal development, and presentations •Excellent communication and stakeholder management skills Additional Advantages: •Knowledge of DCS/ESD systems and plant operations •Knowledge in Industrial Data Validation and Reconciliation Solutions. •Knowledge in Industrial Fuel Demand Modeling solutions. •Knowledge in Asset Performance Management (APM) solutions. •Familiarity with regulatory frameworks (e.g., SDAIA, NDMO) •Experience working with industrial and public sector clients in the Middle East