Data & AI Senior Consultant / Associate Manager

Overview

• Lead delivery projects with our clients on a wide range of topics:
• Lead and deliver client engagements across a broad range of Data Science, AI, and Generative AI topics, including enterprise AI transformation, analytics, and intelligent automation initiatives.
• Develop Data & AI strategies, operating models, and implementation roadmaps aligned with client business objectives and digital transformation agendas.
• Design and deliver advanced analytics, Machine Learning, Generative AI, and Agentic AI solutions across cloud ecosystems including Microsoft Azure, Azure OpenAI, AWS, and Google Cloud Platform (GCP).
• Design and implement LLM-powered solutions, including RAG architectures, AI agents, prompt engineering frameworks, orchestration layers, and vector database integrations.
• Lead functional data architecture, data modelling, and data engineering activities, including ETL/ELT pipelines, API integrations, and structured/unstructured data processing to maximize enterprise data value.
• Develop and deploy Machine Learning and AI models, including predictive analytics, supervised and unsupervised learning, forecasting, NLP, recommendation engines, and quantitative analysis use cases.
• Support the setup of scalable AI/ML deployment environments through MLOps practices, model lifecycle management, monitoring, and governance frameworks.
• Deliver data platform modernization, migration, and AI enablement initiatives leveraging modern cloud-native and enterprise data technologies.
• Implement enterprise data governance and Responsible AI frameworks, including data quality management, master data management, AI governance, security, compliance, and data sovereignty considerations.
• Support organizational adoption and business readiness for Data & AI solutions through stakeholder engagement, training, and operating model enablement.
• Contribute to business development activities, proposal development, thought leadership, and the expansion of Sia s AI and Data offerings, accelerators, and platforms, including SiaGPT.
• In addition, we are seeking technical experience across all or some of the below:
• Strong foundation in Data Science, Machine Learning, and Generative AI, with practical experience delivering AI use cases in enterprise environments.
• Hands-on experience with Python-based AI/ML ecosystems (e.g., Pandas, Scikit-learn, TensorFlow, PyTorch, LangChain).
• Experience designing and deploying LLM and Agentic AI solutions, including RAG architectures, AI agents, prompt engineering, orchestration frameworks, and vector databases.
• Knowledge of modern AI platforms and cloud ecosystems such as Microsoft Azure AI, Azure OpenAI, AWS, Google Cloud, Databricks, or Snowflake.
• Experience with data engineering and data architecture concepts, including ETL pipelines, APIs, structured/unstructured data processing, and enterprise data platforms.
• Familiarity with MLOps / AIOps practices, model lifecycle management, monitoring, governance, and scalable deployment approaches.
• Understanding of AI governance, responsible AI, security, and data sovereignty requirements, particularly relevant for public sector and regulated industries in KSA and the GCC.
• Experience with business intelligence and visualization tools such as Power BI, Tableau, or similar.
• Ability to translate business problems into AI-driven operating models, analytics solutions, and transformation initiatives.
• Exposure to sector-specific AI use cases across industries such as Government, Energy, Utilities, Retail, Transportation, Financial Services, or Healthcare.
• Strong understanding of enterprise digital transformation environments, including integration with CRM, ERP, workflow, and customer platforms.
• Experience contributing to or leading AI strategy, use case prioritization, PoCs, MVPs, and enterprise-scale AI implementation programs.
• Familiarity with Agile delivery methodologies and cross-functional product delivery teams.
• Fluency in English is required; Arabic language proficiency is strongly preferred. Previous experience working in Saudi Arabia or the GCC region is considered a strong advantage.