Technical Solutions Professional - Data & AI

Business Overview:

Alnafitha IT is a leading independent provider of IT services and solutions in Saudi Arabia, founded in 1993.

As a fully Saudi-owned company, we have established ourselves from a startup business to a market leader, offering a comprehensive range of IT solutions tailored to meet the unique requirements of our clients.

Our expertise spans across various domains, including Microsoft, AWS, ManageEngine, and Zoho Solutions, ensuring that we deliver strategic IT solutions that drive digital transformation and operational excellence to our clients.

With over 30 years of experience, Alnafitha IT has successfully completed more than 4,000 projects, serving over 3,000 satisfied customers, and collaborating with 65+ partners.

Our commitment to excellence is evident in our customer-centric approach, which emphasizes engagement, collaboration, and a relentless pursuit of quality in every interaction

Our vision is to be the Kingdom's most customer-centric provider for digital transformation and consultation, fostering innovation and excellence in all our solutions. We are dedicated to optimizing operational efficiency and ensuring effective resource utilization to enhance customer satisfaction and profitability

At Alnafitha IT, we believe in empowering our employees and nurturing their growth, which is essential for driving leadership in technology and customer satisfaction. As we continue to expand our presence in the IT landscape, we remain committed to delivering cutting-edge solutions that not only meet but exceed our clients' expectations.

Job Summary/Objective

The Presales Solution Professional – Data & AI provides specialized presales technical expertise in designing and supporting data-driven and artificial intelligence solutions across enterprise customers. The role supports the sales process by identifying customer needs, developing tailored data and AI solution proposals, and delivering technical presentations and demonstrations.

Key Responsibilities:

Presales Engagement Support

•Collaborate with the sales and business development teams to understand customer requirements related to data management, analytics, and AI adoption

•Assist in evaluating customer data landscapes and contribute to the preparation of Data & AI solution proposals based on Microsoft Azure, Power BI, and related technologies

•Translate client requirements into conceptual solution outlines following established frameworks and templates

•Participate in qualification meetings and contribute technical input to align opportunities with available solutions

Solution Preparation and Documentation

•Prepare and maintain technical documentation, solution briefs, and RFP responses, ensuring alignment with company standards

•Support the preparation of data flow diagrams, architecture visuals, and use case scenarios for proposals and presentations

•Ensure all documentation meets quality, accuracy, and completeness standards before submission

Demonstrations and Proof of Concepts (PoCs)

•Assist in developing and delivering demonstrations and PoCs for customers to showcase data visualization, reporting, and AI capabilities

•Set up sample environments under guidance to validate proposed solutions

•Gather customer feedback during PoC sessions and provide structured summaries to the Presales Solution Executive or relevant teams

Collaboration and Cross-functional Coordination

•Coordinate with internal delivery, operations, and technology teams to ensure technical feasibility and alignment during the presales stage

•Maintain communication with the solution delivery teams to ensure smooth transition from proposal to implementation

Knowledge Management and Improvement

•Stay up to date with emerging technologies in Data, AI, and Analytics within Microsoft and other major platforms

•Participate in internal enablement sessions and continuous learning programs to strengthen technical capability

•Contribute suggestions for improving proposal templates, presentation materials, or internal presales tools

Requirements

Qualifications

-Education: Bachelor's degree in computer science, Data Science, Information Technology, Engineering, or related field

-Experience: 6–8 years of experience in technical presales, data engineering, analytics, or AI-focused consulting

-Exposure to data platform design, data governance, and analytical reporting projects

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