LR_Production Data Processing Lead (395904) at ArcelorMittal

Yekepa, Nimba, Liberia -

Full Time

Start Date

Immediate

Expiry Date

16 Jul, 26

Salary

0.0

Posted On

17 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Governance, Fleet Management Systems, Data Analytics, Production Reconciliation, KPI Development, Control Room Operations, Team Leadership, Operational Risk Monitoring, System Integration, Process Optimization, Reporting, Safety Compliance, Predictive Analytics, Automation, Data Validation, Mining Operations

Industry

mining

Description

1. Mine Data Governance and Control 1. Establish and enforce a centralized data governance framework ensuring accuracy, integrity, and traceability of all mining production data. 2. Control and validate data flows across fleet management systems, dispatch platforms, plant systems, and downstream logistics (rail and port). 3. Develop automated data validation protocols, reporting, and audit mechanisms to eliminate discrepancies and data losses. 4. Ensure real-time data availability and reliability to support operational decision-making and executive reporting. 2. Fleet Management Systems and Real-Time Monitoring 1. Lead the implementation, optimization, and continuous improvement of fleet management systems (FMS) and dispatch operations. 2. Monitor and analyze real-time fleet performance, including equipment utilization, cycle times, payload compliance, delays, and availability. 3. Oversee fuel management systems, ensuring accurate tracking, consumption analysis, and identification of inefficiencies or losses. 4. Drive corrective and preventive actions based on fleet performance analytics to improve productivity and reduce operating costs. 3. Integrated Reporting; Design and maintain automated, standardized reporting systems, including daily, weekly, and monthly production reports and executive dashboards. 1. Develop advanced KPI frameworks covering productivity, equipment efficiency (OEE), compliance, delays, and cost performance. 2. Perform in-depth data analytics to identify trends, bottlenecks, and optimization opportunities across the mining value chain. 3. Deliver actionable insights and recommendations to operations, technical services, and senior leadership. 4. Production Reconciliation and System Integration 1. Lead end-to-end reconciliation of production data across mining, stockpiles, processing plants, rail, and port operations. 2. Ensure alignment between planned vs. actual production, identifying and resolving variances in tonnage, grade, and material movement. 3. Integrate multiple operational systems (FMS, Fast2Mine, etc.) into a unified data environment. 4. Support digital transformation initiatives, including automation, predictive analytics, and system interoperability. 5. Control Room Operations and Team Leadership 1. Lead and manage control room (dispatch) operations, ensuring effective real-time monitoring and coordination of mining activities. 2. Supervise and develop data teams (dispatchers, technicians, officers, coordinators) to ensure high performance, accountability, and technical capability. 3. Drive a culture of data-driven decision-making, continuous improvement, and operational discipline. 4. Facilitate knowledge transfer, training, and capability building within local teams. 6. Safety and Operational Risk Monitoring (Data-Driven) 1. Monitor critical safety parameters via FMS (e.g., speed compliance, collision avoidance, fatigue management, geofencing). 2. Analyze safety-related data trends and support proactive risk mitigation strategies. Ensure integration of safety KPIs into operational dashboards and reporting systems. ArcelorMittal is the world's leading steel and mining company, with a presence in 60 countries and primary steelmaking facilities in 15 countries. Our material is part of the fabric of life. What we produce makes a difference – to individuals, communities, businesses and society. At ArcelorMittal, the safety, health, and wellbeing of our employees are our top priorities. We believe that every accident is avoidable, and it is essential for every employee, from the shop floor to the management committee, to hold this belief. Our purpose is to produce ever smarter steels that have a positive benefit for people and planet. Steels made using innovative processes which use less energy, emit significantly less carbon and reduce costs. Steels that are cleaner, stronger and reusable. Steels for electric vehicles and renewable energy infrastructure that will support societies as they transform through this century. With steel at our core, our inventive people and an entrepreneurial culture at heart, we will support the world in making that change. This is what we believe it takes to be the steel company of the future. ArcelorMittal Liberia (AML) is operating inside Liberia since 2006, where we are employing approximately 1600 employees and about 1000 contractors mainly in the area of security as well as in transactional manual work like Bush cutting keeping the railway and our concession area free of natural overgrowth, as well as putting tarpaulins on the railcars etc. In Liberia we are running operations, spread over three locations, our harbour, and our Main offices in Buchanan, and the Nimba region the mines, existing of multiple mining locations at Tokadeh, Gangar and Yuelliton and a Crushing plant and rail loading facility, serviced by our own accommodation settlement in Yekepa. These locations are all connected with a 260 km Railroad, operated, and managed by AML, as per the MDA between ArcelorMittal and the government of Liberia. Currently 5 mtpa iron ore (DSO -Direct Shipping Ore) are produced, which will be phased out in the next few years and replaced with Iron Ore Concentrate. The Phase 2 project aims to increase export of Iron Ore to 15 mtpa (concentrate). This was restarted end 2020 after it was put on hold in 2014 due to Ebola outbreak in. Significant civil construction work was already well advanced when the project was put on hold. Phase 2 of the project consist of an iron ore concentrator at the mine, rehabilitation and upgrade of Rail line, and a new iron ore bulk handling terminal in the port.

Responsibilities

The Production Data Processing Lead is responsible for establishing data governance frameworks and managing real-time fleet management systems to ensure operational accuracy. They will lead control room operations and provide actionable insights through advanced reporting and production reconciliation across the mining value chain.