KSA Data & AI – Senior Consultant​/Associate Manager

• Full-time

Sia
is a specialist Management Consulting firm born in Paris, France in 1999 and has grown into a global firm with over 3,000 employees and annual revenue exceeding $500m. Our culture is strongly oriented towards high-quality expertise and delivering excellent results and outcomes for our clients, which include a wide range of multinational companies. Testament to its success,
Sia
has shown double-digit growth every year since inception.

Sia
is a pioneer of Consulting 4.0, putting us at the forefront of the technology revolution, deploying augmented Consultants capable of leveraging emerging digital technology to enhance and improve their cognitive reasoning, analysis and planning. Supported by Augmented & Artificial Intelligence, Automation and Data Science we empower our clients to make the right decisions at the right time for the right reasons.

With our consultants representing 41 different nationalities, we are a highly diverse team spread across 48 offices in 19countries. However, using innovative technologies such as our own in-house apps, social networks, and digital tools, we provide a truly integrated global service.

Sia
is an equal opportunities employer, committed to diversity, inclusion, and employee well-being. Our diversity and inclusion networks (local and global) contribute to a pipeline of initiatives to enhance employee quality of life and foster a caring environment to work in.

Employees are encouraged to contribute to these initiatives and drive positive change in the organisation across 5 pillars:

Women@Sia, Multi-Ethnic, Well-being, and Environment.

In the Middle East,
Sia
provides expert advisory services on strategy & execution, innovation, operational performance & cost reduction, cyber & data security, efficientorganisation, transformation & change management, HR performance, and IT performance. In addition to these services,Sia Institute, Sia Partners’ world-class international training arm, provides a wide range of learning programs and workshops with modules successfully delivered across various locations and sectors, particularly in the Middle East.

Why join the Sia Village?

Excellence | Entrepreneurship | Innovation | Teamwork | Care & Support | Employee Wellbeing

These are thesix core values that guide all our actions. As an expression of our values, our Sia Village concept describes our commitment to fostering a sense of community within and among our offices. We believe that knowledge sharing is the key, not only to innovation, but to the growth and development of our people.

At Sia , we believe AI is the cornerstone of the new generation. Our consultants' business acumen, combined with the expertise of our Data Scientists and AI products, empowers us to address our clients' business challenges across the data universe. As we expand Data & AI practice, we seek professionals who share our vision and can contribute to our growth.

We are looking for individuals with the following experience:

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…