Lead Chemical Engr

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.