Job Purpose- • Strategic focus: Prioritizing PPD initiatives and projects with fixed timelines and budget that can be offloaded from core personnel onto contractors to enable core personnel to focus on strategic and operational objectives. • Service improvement: Timely and efficient delivery of specific PPD initiatives and projects with single point accountability. • Cost optimization through in-house and on-the-job knowledge and skills transfer from the implemented initiatives and projects without depending on external vendors. • Effective vendor and internal functional coordination based on expertise and focused collaboration with relevant stakeholders. Key Responsibilities- A. AI & Advanced Analytics: • Design and implement AI/ML models for production forecasting, anomaly detection, and optimization. • Develop predictive analytics for equipment reliability, deferment reduction, and hydrocarbon loss management. • Integrate AI solutions with real-time production systems and hydrocarbon accounting platforms. • Expertise in AI/ML frameworks (Python, TensorFlow, PyTorch). B. Business Intelligence (BI) Development: • Build and maintain BI dashboards for production planning, hydrocarbon accounting and allocation, and performance monitoring. • Automate reporting workflows using tools like Power BI, Tableau, Qlik, or similar. • Ensure dashboards provide actionable insights for operations, planning, financial and commercial teams. • Develop interactive data visualizations, dashboard creation and reporting automation for the budget (New systems, Department requirements, etc.) C. Data Management & Integration: • Oversee data acquisition from PHD, HEMS, DCS, systems, and hydrocarbon accounting systems (e.g., Energy Components, SAP IS-Oil). • Ensure data quality, integrity, and consistency across multiple sources. • Implement ETL processes and manage data pipelines for analytics and visualization. D Visualization & Decision Support: • Develop interactive visualizations for production trends, allocation breakdowns, and forecast accuracy. • Provide intuitive tools for management to analyze KPIs and make informed decisions. • Support scenario planning and “what-if” analysis for production optimization. E. Digital Transformation & Automation: • Drive initiatives for digital oilfield implementation and smart hydrocarbon accounting. • Automate manual processes in planning and reporting using AI and RPA (Robotic Process Automation). • Champion data-driven culture and train stakeholders on analytics tools. F. Governance & Compliance: • Ensure compliance with data security, regulatory reporting, and corporate standards. • Maintain audit trails for all data transformations and analytics outputs. G. Role-Specific / Best-Practice KPIs • Accuracy and reliability of AI-driven forecasts. • Reduction in manual reporting time through BI automation. • Improvement in decision-making speed and quality. • Data integrity and system uptime for analytics platforms.

Experience- More than 10 years of relevant experience. Technical Competencies- • Exposure to BI tools (Power BI, Tableau, Qlik). • Basic knowledge of data engineering (SQL, ETL processes). • Understanding of visualization and reporting techniques for technical and non-technical audiences. • Proficiency in MS Excel (charts, trend analysis) and MS Office tools. • Awareness of oil & gas production systems and digital transformation concepts • Familiarity with document management and reporting tools (MS Word, Adobe Acrobat). Working Schedule- • ADNOC normal working hours with weekends and holidays. • The project duration is 3 years, with an optional extension of an additional 2 years.