Job Overview
Head of Chemical Manufacturing Financial Intelligence, AI-Driven Risk & Process Profitability Systems (State of Qatar)
Strategic Purpose
This senior remote leadership role is dedicated to the creation of AI-driven financial intelligence systems tailored to chemical manufacturing environments. The mandate spans process-level profitability analytics, predictive feedstock pricing models, energy cost volatility management, operational risk forecasting, and plant-wide margin optimization.
The role blends advanced machine learning, industrial process data, and financial risk science to deliver autonomous, insight-driven decision platforms.
Primary Responsibilities
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Architect AI-native platforms for real-time financial intelligence across chemical plant operations.
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Develop predictive models linking process efficiency, feedstock pricing, and energy consumption to profitability.
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Design anomaly detection systems that translate operational deviations into quantified financial risk.
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Integrate high-volume data pipelines spanning plant sensors, financial systems, and market feeds.
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Establish explainable AI, model governance, and audit frameworks suitable for industrial environments.
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Translate complex analytics into executive-level financial and strategic insights.
Technical & Analytical Expertise
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Advanced proficiency in machine learning, time-series forecasting, 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 operational performance analytics.
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Experience deploying explainable AI in safety-critical or regulated environments.
Leadership Profile
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10–15 years of experience in financial intelligence, industrial analytics, or AI-driven risk systems.
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Proven ability to lead advanced analytical initiatives with measurable impact.
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Exceptional ability to bridge technical complexity and strategic decision-making.
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