Riyadh Assistant ManagerManager Technology Consulting Data & AI Riyadh 11391

At EY, we help clients harness the power of data and artificial intelligence to drive digital transformation, enhance decision-making, and create long-term business value. In this role, you will play a pivotal part in designing, implementing, and optimizing innovative data and AI-driven solutions across industries. You will collaborate with multidisciplinary teams to solve complex business challenges, develop scalable data architectures, and apply advanced analytics and AI capabilities to enable clients to shape the future with confidence. Key Responsibilities •    Collaborate with clients to understand business goals and translate them into impactful data and AI solutions. •    Design, build, and deploy scalable data pipelines, architectures, and AI models. •    Develop and implement machine learning models, NLP solutions, and predictive analytics use cases. •    Integrate data from multiple sources, ensuring quality, consistency, and compliance with governance frameworks. •    Leverage cloud technologies (AWS, Azure, GCP) to architect and deploy modern data platforms and AI solutions. •    Support data strategy and modernization projects, including migration, transformation, and visualization. •    Work closely with data scientists, engineers, and business consultants to deliver end-to-end AI and data projects. •    Stay current with emerging trends in data engineering, AI, and generative AI, applying them to improve client outcomes. •    Contribute to proposal development, solution design, and knowledge sharing across the team. •    For Assistant Manager:  5-7 years of experience; For Manager:  6-9 years of experience. Skills and Attributes for Success •    Strong technical background in data engineering, analytics, or AI solution delivery. •    Proficiency in programming languages such as Python, SQL, Java, or Scala. •    Experience with data processing and orchestration frameworks (e.g., Apache Spark, Databricks, Hadoop). •    Familiarity with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn). •    Knowledge of data modeling, ETL, and data warehousing concepts. •    Hands-on experience with cloud platforms (AWS, Azure, or Google Cloud). •    Understanding of data visualization tools (Power BI, Tableau) and storytelling with data. •    Excellent problem-solving, analytical, and communication skills. •    Ability to work collaboratively in cross-functional and global teams. Qualifications •    Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field. •    Relevant experience in data engineering, analytics, or AI solution implementation (preferably in a consulting environment). •    Experience working on large-scale digital or AI transformation programs is an advantage. •    Strong client engagement and stakeholder management experience. What We Offer At EY, you’ll find an environment that empowers you to learn, grow, and lead. You’ll work with cutting-edge technologies, innovative teams, and global clients, gaining the skills and experiences to shape your career and make an impact. Start applying with LinkedIn Connect with us Our locations My EY Site map Legal and privacy Labor condition applications Cookie Consent Manager EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients. LinkedIn LinkedIn is an employment-oriented social networking service. We use the Apply with LinkedIn feature to allow you to apply for jobs using your LinkedIn profile. Opting out of LinkedIn cookies will disable your ability to use Apply with LinkedIn. Cookie Table Terms and Conditions Google Analytics Google Analytics is a web analytics service offered by Google that tracks and reports website traffic. Terms and Conditions Google Tag Manager Google Tag Manager is a tag management system for conversion tracking, site analytics, remarketing, and more.