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

Data & AI Senior Consultant / Associate Manager SIA partners