Process Optimization (Advanced Process Control) Team Lead

Job Summary

Process Optimization Team Lead

Where Growth Never Stops

At Fuller Technologies, momentum isn t a slogan - it s how we work. For over 140 years, we ve improved the systems that keep the cement industry running: optimizing processes, reducing friction, and elevating performance. That mindset shapes not only our solutions - but how we operate as a company.

When you join Fuller, you re joining a team that supports your growth and values your contribution. Here, colleagues collaborate openly, leaders give you room to develop, and the environment is built on trust, inclusion, and continuous learning. You ll find the stability of a global organization and the agility of one that s actively expanding - a place where your career can accelerate alongside the business.

If you want to move forward with a company that brings its people with it -

Fuller is where that happens.

The Process Optimization Team Lead is responsible for leading a global team of process optimization specialists focused on delivering and sustaining advanced process control (APC) and soft sensor solutions across customer sites worldwide.

This role carries end-to-end accountability for ensuring that optimization systems continue to deliver measurable business value long after commissioning is completed. A key responsibility is the proactive monitoring, review, and continuous improvement of APC and optimization performance during the months following project handover , ensuring customers achieve targeted process improvements, operational stability, and return on investment. Through ongoing performance management, customer engagement, and identification of optimization opportunities, the role drives customer success, service growth, and long-term customer retention.

Key Responsibilities

Team Leadership Service Management

• Lead and mentor a global team of APC and Process Optimization Engineers

• Establish performance objectives, technical development plans, and competency growth programs.

• Drive a culture of ownership, continuous improvement, and customer-centric service delivery.

• Conduct regular technical reviews, knowledge-sharing sessions, and case reviews.

• Ensure service delivery processes support proactive customer engagement and value realization throughout the optimization lifecycle.

• Consolidated Status reporting (quarterly) of proactive optimization + PLA services on global sites of PXP applications to management teams (sales, engineering, development, PLA Project Managers).

• Collaborate with Engineering teams to implement improvements in proactive optimization + PLA service support activities for PXP applications to ensure sustainable long-term benefits.

  APC Lifecycle Support Value Realization

• Ensure reliable operation and lifecycle support of commissioned APC systems.

• Own the post-commissioning performance management process, ensuring APC systems continue to deliver expected business outcomes.

• Proactively monitor APC health, controller performance, model accuracy, KPI achievement, and optimization effectiveness.

• Establish structured APC performance reviews during the first months following commissioning to identify improvement opportunities and maximize customer value realization by quantifying ROI/monetary savings achieved with High-PXP utilization.

• Lead APC troubleshooting, root cause analysis, and performance recovery activities when deviations occur.

• Identify and implement continuous optimization opportunities that enhance process performance and customer benefits.

• Manage APC upgrades, migrations, and system modernization projects.

  Soft Sensor Deployment Maintenance

• Design, implement, and maintain soft sensor applications for critical process variables.

• Develop inferential models using process knowledge, statistical methods, and machine learning techniques.

• Validate and continuously improve soft sensor accuracy.

• Support integration of soft sensors with APC and plant control systems.

• Monitor model performance and ensure sustained business value.

  Customer Success, Retention Proactive Service Growth

• Develop and execute structured customer success plans following APC commissioning.

• Conduct periodic performance reviews, optimization assessments, and value realization workshops with customers.

• Proactively identify performance gaps, operational risks, and optimization opportunities before they impact customer outcomes.

• Demonstrate measurable customer value through KPI improvements and documented business benefits.

• Build trusted customer relationships through regular engagement and proactive performance management.

• Drive service agreement renewals, lifecycle support contracts, and follow-on optimization opportunities.

• Support customer retention through continuous improvement initiatives and successful long-term service delivery.

• Collaborate with sales and service teams to identify and develop proactive service growth opportunities.

  What you bring

  Experience

• 10+ years of experience in industrial process optimization and APC.

• 5+ years of experience leading technical teams as a technical lead.

• Experience supporting lifecycle services and customer-facing operations.

• Proven experience in process industries Cement and mining.

• Knowledge in Machine Learning models, AI, and python programming skills will be an added advantage

• Knowledge in PLC programming, OPC, MQTT, SQL and System level troubleshooting skills will be an added advantage

  Education

• Bachelor s or master s Degree in Instrumentation and Control Engineering

• Process control Engineering

• Data Science with APC skills (with process industry experience)

  Technical Competencies:

  Advanced Process Control (APC)

• Experience in Model Predictive Control (MPC) and related advanced control techniques

• AI/ML Expert Systems

• Controller Performance Monitoring Reporting

• KPI Benchmarking with Process Data Analysis

• Knowledge of Cement Process, Machinery equipment and instrumentation

• Cement Process Control Strategy design, identifying constraints and bottlenecks in Operations

• Process Modelling Simulation and use of Digital twin

  Soft Sensors

• Inferential Modelling

• Statistical Process Modelling

• Hybrid Process Models

• Model Validation Accuracy Monitoring

• Real-Time Data Analytics

• Deployment and Maintenance of Inferential in Cement or Related Process industries

  Process Control Systems

• DCS Systems

• PLC Systems / SCADA Platforms

• Industrial Network Communications

• Systems Integration

  Data Analytics Tools

• Python

• SQL

• Power BI

• Azure AI/ML Services

• Data Visualization Platforms such as SPLUNK, Snowflake, etc.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.