Job Overview
Head of Chemical Plant Financial Intelligence, AI-Driven Risk & Process Profitability Systems (Qatar)
Strategic Purpose
This senior remote leadership role is dedicated to building AI-driven financial intelligence platforms tailored to chemical manufacturing ecosystems. The mandate covers process-level profitability analytics, predictive cost modeling, feedstock price risk, operational disruption forecasting, and plant-wide financial optimization.
The role blends advanced analytics, industrial process data, and financial risk science to create autonomous decision systems that enhance resilience and capital efficiency.
Primary Responsibilities
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Architect AI-native platforms for real-time chemical plant profitability and cost intelligence.
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Develop predictive models for feedstock price exposure, energy cost volatility, and production yield variability.
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Design anomaly detection systems linking process deviations to financial impact.
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Integrate large-scale data pipelines spanning operational sensors, financial systems, and market feeds.
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Establish model governance, explainability, and auditability standards.
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Translate analytical outputs into strategic insights for executive-level decision-making.
Technical & Analytical Expertise
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Advanced proficiency in machine learning, time-series analysis, and industrial data science.
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Strong command of real-time analytics architectures and scalable data platforms.
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Expertise in financial risk modeling and industrial performance analytics.
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Experience deploying explainable AI in regulated or safety-critical environments.
Leadership Profile
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10–15 years of experience in financial intelligence, industrial analytics, or AI-driven risk platforms.
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Proven ability to lead advanced analytical initiatives.
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Strong communication skills bridging technical complexity and strategic impact.
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