EY Assistant Manager/Manager - Tech Consulting 

Qatar, Doha, Doha 

756847088

Key Responsibilities:

• Lead the AI and Generative AI agenda for corporate clients in the oil and gas sector.
• Develop and implement AI strategies that align with client objectives and industry best practices.
• Identify and design AI use cases that enhance operational efficiency and drive innovation.
• Create comprehensive AI roadmaps that outline deployment strategies and timelines, including short, medium, and long-term tailored opportunities.
• Collaborate with stakeholders to ensure successful implementation and adoption of AI solutions.
• Conduct market analysis and competitive assessments to identify emerging trends and potential competitive advantages in AI adoption.
• Design and execute pilot programs and hackathons to foster a culture of innovation and accelerate AI adoption within organizations.
• Assess current data governance frameworks and develop recommendations to enhance data quality, security, and accessibility.
• Establish best practices for AI implementation, including model training, validation, deployment, and monitoring.

Skills and attributes for success

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
• Proven experience in AI and data consulting, with a strong focus on the oil and gas industry.
• In-depth knowledge of upstream, midstream, and downstream processes is mandatory.
• Demonstrated success in deploying AI use cases and developing strategic AI roadmaps.
• Excellent analytical, problem-solving, and communication skills.

Technical Skills

• Proficiency in programming languages such as Python, R, or Java for data analysis and AI model development.
• Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Familiarity with data analytics tools and platforms (e.g., SQL, Apache Spark, Tableau).
• Knowledge of AI and data governance principles, including data quality, security, and compliance.
• Understanding of cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying AI solutions.
• Experience with data visualization tools to present insights and findings effectively.
• Familiarity with natural language processing (NLP) and generative AI technologies.