Lead Chemical Engr

Job Description Key Responsibilities: Operations Leadership & Management: - Lead day-to-day operations of the Global Solutions Center (GSC) with a focus on high operational efficiency, maintaining strong MOS (Management Operating System). - Balance resource allocation and prioritization based on SIOP (Sales, Inventory, and Operations Planning) meetings, ensuring smooth decision-making and high accountability. - Ensure 24x7 decision-making, minimizing manual interventions through automation and process standardization. - Drive the automation initiatives based on business needs, ensuring the scalability and efficiency of the center's operations. Data Science & Insights: - Lead the team in developing innovative solutions using ProSight for Exploratory Data Analysis (EDA), time series data analysis, and model deployment. - Apply predictive analytics, machine learning, and data mining techniques to handle unstructured data and provide technical insights. - Oversee the creation of operational dashboards and next-gen monitoring tools using AI/ML to optimize performance and ensure sustainability. Customer-Centric Focus & Problem Resolution: - Respond to customer requests swiftly, resolving ambiguous technical needs, earning trust, and showing accountability for problem resolution. - Provide readily available technical solutions, liaising closely with technical service teams for escalations when necessary. - Ensure continuous upkeep of solutions by troubleshooting PM/PTA/Exception-Based Alerts/Benchmarking, ensuring the high availability of systems and operations. Innovation & Continuous Improvement: - Lead efforts to innovate and enhance existing systems through machine learning, predictive analytics, and exception-based analytics for superior service delivery. - Drive process development and creative, customer-centric solutions, fostering an environment of continuous learning and research within the team. - Lead efforts to enhance operational quality through automated predictive analytics and efficient data processing pipelines. Team Leadership & Development: - Guide a dynamic team of professionals, ensuring high productivity, collaboration, and a commitment to continuous improvement. - Foster a culture of problem-solving, empowering team members to work independently or collaboratively, and focusing on SMART data results. - Maintain an agile mindset, ensuring team flexibility to handle shifts or urgent demands while managing high customer expectations. Operational Excellence & Efficiency: - Prioritize resources to ensure high resource utilization and billability while minimizing costs. - Apply optimization analytics and simulation algorithms to improve operations and eliminate bottlenecks in processes. - Ensure that operational strategies align with GSC Key Results, meeting both business and customer requirements. Qualifications: Must Have: - Bachelor's degree in Chemical Engineering or a related technical field. - 12+ years of experience in technical service, process operation, or engineering/monitoring roles within refining and petrochemical industries. - Hands-on experience in performing Exploratory Data Analysis (EDA) and time series forecasting using tools like ProSight. - Strong technical proficiency in data science, including descriptive, predictive, and prescriptive analytics using advanced algorithms like machine learning and optimization. - Proficiency in handling large data sets, conducting data cleanup, and applying automated predictive analytics. - Excellent leadership, presentation, and communication skills, with the ability to negotiate and manage multiple stakeholders. - Ability to multi-task effectively and respond to urgent customer requests in a fast-paced environment. We Value: - Exposure to forecasting techniques, classification methods, and segmentation in data science. - Experience in Agile methodologies and project management tools. - A continuous learning mindset, always looking for the next big idea in technology. - Creativity in process development and customer-centric problem-solving. - Familiarity with DataScience Open Source tools and platforms. - Strong understanding of technical troubleshooting, with the ability to resolve complex, unstructured data challenges. - Willingness to work in 24x7 shifts, ensuring global customer support. Additional Qualifications: - Proficiency in Data Analytics & Data Science applications, including big data monitoring and machine learning. - Ability to define problems and derive solutions from ambiguous or incomplete data. - Comfortable with global travel (up to 10%), to support customer-facing initiatives and internal/external collaborations.