Job Description

Roles & Responsibilities

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.

Desired Candidate Profile

To excel in this role, you should possess:

• Bachelor s degree in Computer Science, Data Science, Artificial Intelligence, Information Systems, Software Engineering, Mathematics, Statistics, or a related quantitative field.
• Master s degree in a relevant discipline.
• 4 10 years of professional experience in Data Science, AI, Analytics, or Digital Transformation, preferably within a consulting environment.
• Proven experience delivering AI/Data projects from strategy and use case definition through implementation and deployment.
• Experience working with enterprise and government stakeholders in KSA or the GCC.
• Strong client-facing communication and presentation skills, with the ability to engage senior stakeholders and translate technical concepts into business value.
• Ability to manage workstreams independently and contribute to proposal development, business development activities, and client relationship management.
• Relevant certifications in cloud, AI, or analytics platforms are considered a plus (e.g., Microsoft Azure AI, AWS Machine Learning, Google Cloud AI, Databricks).
• Fluency in English and Arabic is required.
• Experience in local networks and aiding in business development, proposal, and RFPs
• It is essential to work independently, functionally, and cross-functionally with large client and vendor teams to deliver quality and comprehensive solutions.
• Strong relationship management skills, with the ability to build networks and influence stakeholders effectively
• Exceptional analytical, communication, and interpersonal skills
• An entrepreneurial mindset with a passion for innovation and problem-solving