مستشار إداري، تطوير أعمال الخدمات، التحليلات (Managing Consultant, Services Business Development, Analytics)

Job Summary

This role leads business development and consulting engagements focused on Analytics, AI, Data Strategy, and related technologies in the West Arabia region, driving sales and delivering data-driven solutions to clients across industries.

Responsibilities

• Lead consultative sales and strategic client development initiatives across Analytics, AI, Data Strategy, Data Engineering, MLOps, and Cloud in West Arabia.
• Achieve sales targets by identifying and closing new business opportunities while maintaining senior client relationships.
• Contribute to deal bids and RFP responses with high-quality proposals aligned to client goals and market context.
• Build and maintain a strong sales pipeline through prospecting, networking, and thought leadership in West Arabia.
• Establish trusted relationships with C-suite and senior executives by understanding explicit and implicit business needs.
• Analyze complex business problems to define clear objectives and solution approaches.
• Design and lead sales pitches and executive presentations from concept to delivery.
• Develop integrated solutions combining Analytics, Generative AI, Data Strategy, Data Engineering, MLOps, and Cloud technologies.

Requirements

• Undergraduate degree in Statistics, Economics, Engineering, Computer Science, AI, or Data Science.
• MBA or relevant postgraduate degree is recommended.
• Professional certifications in Cloud platforms (AWS, Azure, GCP) or AI/ML frameworks are advantageous.
• 10+ years of experience in management consulting, technology advisory, or data and AI roles with measurable outcomes.
• Proven ability to lead and close complex sales engagements across industries.
• Expertise in Analytics and AI domains including Data Strategy & Governance, Advanced Analytics, Generative AI, Data Engineering, MLOps, and Cloud AI solutions.
• Knowledge of Generative AI technologies and ability to translate technical concepts into business applications.
• Understanding of Data Engineering principles such as data pipelines, lakehouses, and data mesh architectures.
• Familiarity with MLOps practices including model deployment, monitoring, and AI productionization.
• Solid understanding of major cloud platforms (AWS, Azure, GCP) for scalable AI and data solutions.
• Expertise in Data Strategy including governance, product design, and analytics-driven decision-making.
• Strong analytical skills for business case construction and ROI analysis.
• Excellent communication skills for presentations and written deliverables tailored to diverse audiences.
• Advanced proficiency in Microsoft Word, Excel, and PowerPoint.

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