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• Managed large digital transformation projects and programs across multiple operations. The largest project was a multi-year program with team members of up to 20 people and a budget of up to USD 5 million.
• Enabled the mine operations to increase utilization and availability of equipment (increased production throughput by up to 20%) by implementing an enterprise-wide program of mobile equipment telemetry.
• Innovated low-cost computer vision Artificial Intelligence model to determine the bucket fullness of mobile equipment and save 90% of the cost of implementing the traditional payload system.
• Increased the production of the Nickel Refinery Plant by $2.8 M per year by implementing Aveva APC solution to better control the internal temperature of Powder Decomposer Units.
• Implemented in-house Operational Insight system at Nickel Refinery Plant, using OSIsoft / Aveva PI, and built predictive and prescriptive analytics model to increase operations throughput by 10%.

• Managed medium to large-sized projects for the Operations Department. The largest project was a strategic business project with team members of up to 10 people and a budget of up to USD 2 million.
• Developed and maintained the standard IT project management methodology across the company and provided project management training, sharing sessions, and workshops to all project managers.
• Optimized resource utilization, reduced downtime, and improved equipment reliability by 20% at the Utilities Department through the implementation of the PIMS using the Aveva PI system.
• Enabled senior management at the Operations Department to increase decision-making efficiency by 25%, through the implementation of Weekly Management Reports.

• Enabled business units to achieve their goals by recommending IT improvements, optimizing technology applications, and staying updated on IT developments to solve business problems.
• Managed relationships with key stakeholders, including business leaders, IT teams, and vendors, ensuring effective communication, managing expectations, and delivering solutions on time, and within budget.
• Led process optimization initiatives at the Utilities Department, by determining the top five inefficiencies in the existing workflow processes, resulting in a 20% reduction in operational costs.
• Bridged the gap between IT and Utilities Departments, facilitated communication to remove waste in the process, and ensured seamless integration of IT solutions, reducing project delivery times by 20%.
• Aligned IT strategies with business objectives, leading to a 15% improvement in overall project outcomes. Managed relationships with key stakeholders, including business leaders, IT dev teams, and vendors.

• Managed small to medium projects for different clients in manufacturing, government, and financial industries, with team members of up to 5 and a budget of up to USD 300K.
• Decreased equipment downtime by 20% and increased productivity by 15% at the Utilities Department by implementing a web-based Equipment Delay System application, using data from equipment sensors.
• Optimized the maintenance schedules, reducing downtime, and extending asset lifespan by implementing a CMMS System, which resulted in a 10% increase in operational efficiency, and 15% cost savings.
• Revitalized the Indonesian Governments Tax Information Management System, which resulted in a 30% increase in efficiency, elevated taxpayers experience, and improved governance framework.

• Gathered and analyzed user requirements, translating them into clear functional specifications for the IT team. Worked closely with stakeholders to identify business needs and define user stories, ensuring a shared understanding. Also, designed, and tested IT systems to meet these requirements.
• Developed main dealer Sales and Distribution system using Oracle Apps for 28 companys main dealers, resulting in a 20% increase in operational efficiency and a 30% reduction in processing time.
• Developed and implemented automated main dealer data analysis and reporting tools, reducing manual effort by 25% and minimizing the risk of human error.