INVENTORY CONTROL MANAGER

Job title: Supply Chain Data Analytics Senior Advisor

• Conduct advanced supply chain data engineering and analytics by extracting, cleansing, integrating, and validating data from enterprise systems, including ERP, WMS, TMS, and other relevant technology platforms, using advanced SQL and Python methodologies.
• Develop predictive and analytical models for demand forecasting, supply lead-time prediction, inventory optimization, anomaly detection, and scenario analysis to identify potential supply constraints, delivery risks, and technology availability issues affecting telecommunications infrastructure deployment.
• Analyze complex international and multi-vendor technology supply chains, including those supporting the sourcing and supply of 4G/5G network equipment, telecommunications infrastructure, data center systems, and other critical technology components, to identify supply dependencies, disruption indicators, and optimization opportunities.
• Develop advanced data visualization and analytical solutions using platforms such as Power BI and Tableau to present supply chain patterns, inventory positions, lead-time indicators, supplier performance metrics, and technology supply risks in technically interpretable formats.
• Evaluate emerging technologies including machine learning, artificial intelligence, predictive analytics, and intelligent automation for telecommunications supply chain applications, providing technical assessments on their feasibility, scalability, integration requirements, and potential application.
• Provide technical assessments of supply chain technology platforms and data architectures, including data integration, analytical functionality, machine learning readiness, and reporting capabilities, particularly within complex international and multi-vendor technology environments.
• Transfer specialized technical knowledge and methodologies to local Filipino technical teams through structured training, technical workshops, knowledge-sharing initiatives, and development of technical repositories covering data engineering, predictive analytics, AI/ML applications, and telecommunications technology supply chain analytics.

Qualifications/Requirements:

• Bachelor's degree or above in Data Science, Statistics, Computer Science, Information Technology, Industrial Engineering, Business Administration, Supply Chain Management, or related technical/quantitative disciplines; MBA or master’s degree preferred. • Minimum 10 years of technical working experience in data analytics, with at least 3 years focused on data modeling, predictive analytics, and visualization delivery specifically within the supply chain domain.