Managing Consultant, Services Business Development, Analytics

Our professional services practice specializes in delivering data-driven consulting, AI and analytics solutions, data strategy advisory, and digital transformation programs to clients across all industries. Leveraging deep domain expertise, advanced technology capabilities, and a proven track record of solving complex business challenges, we drive measurable value for our clients and strengthen our position as a market leader in the West Arabia region.

Description and Major Responsibilities

• Drive Sales Engagements
  • Lead consultative sales engagements and strategic client development initiatives spanning Analytics, AI, Data Strategy, Data Engineering, MLOps, and Cloud capabilities across all industry verticals in West Arabia
  • Deliver against sales targets by identifying, qualifying, and closing new business opportunities while nurturing long-term senior client relationships
  • Contribute actively to deal bids and RFP responses, ensuring high-quality, differentiated proposals aligned with client objectives and market context
  • Build and maintain a robust pipeline through proactive prospecting, networking, and thought leadership positioning in the West Arabia market

• Client Needs Analysis & Problem Structuring
  • Build trusted relationships with C-suite and senior executives by developing a deep understanding of both explicit requests and underlying business needs across diverse industries
  • Analyze and prioritize critical aspects of complex, ambiguous business problems to define clear, commercially grounded objectives and solution pathways
  • Develop structured analytical approaches and testable hypotheses for large-scale, multi-dimensional engagements spanning data, AI, and digital domains

• Sales Pitch Development & Client Communication
  • Design and lead compelling sales pitches and executive presentations, from initial storyboarding through to high-impact face-to-face delivery
  • Craft succinct, persuasive written deliverables — proposals, points of view, solution briefs — tailored to varied audience levels from technical teams to board stakeholders

• Innovative Solution Design & Thought Leadership
  • Design integrated, industry-agnostic solutions combining Analytics, Generative AI, Data Strategy, Data Engineering, MLOps, and Cloud to address complex client challenges
  • Drive internal knowledge management by organizing training sessions, conceptualizing new solutions, and expanding the regional solution suite to reflect emerging market needs

• Capability Integration & Ecosystem Collaboration
  • Leverage deep expertise across Analytics, AI, Data Strategy, Data Engineering, MLOps, and Cloud to design and position end-to-end, integrated solutions for clients
  • Partner with alliance and technology ecosystem partners (cloud providers, AI platform vendors, data infrastructure providers) to develop joint go-to-market propositions

Requirements

• Education
  • Undergraduate degree in Statistics, Economics, Engineering, Computer Science, AI, or Data Science field required
  • MBA or relevant postgraduate degree recommended
  • Professional certifications in Cloud platforms (AWS, Azure, GCP) or AI/ML frameworks are a strong advantage

• Experience & Skills
  • 10+ years of demonstrated experience in management consulting, technology advisory, or relevant data and AI industry roles, with a strong track record of delivering impactful, measurable outcomes
  • Proven ability to independently initiate, develop, and close complex, multi-stakeholder sales engagements across diverse industries
  • Analytics and AI domain expert with hands-on advisory experience across the full spectrum: Data Strategy & Governance, Advanced Analytics, Generative AI, Data Engineering, MLOps, and Cloud-enabled AI solutions
  • Strong understanding of Data Engineering principles — data pipelines, lakehouses, data mesh architectures — and the ability to position and sell these capabilities to business and technical audiences
  • Familiarity with MLOps practices including model deployment, monitoring, retraining, and AI productionization, sufficient to lead advisory conversations and shape client engagements
  • Solid understanding of major cloud platforms (AWS, Azure, GCP) and their role in enabling scalable, enterprise-grade AI and data solutions
  • Strong ability to work across multiple internal stakeholders and subject matter experts in a fast-paced, deadline-driven environment
  • Excellent verbal and written communication skills, with a proven ability to create high-impact presentations and written deliverables tailored to C-suite and technical audiences alike

Corporate Security Responsibility
All activities involving access to the company assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, the company is responsible for information security and must:

• Abide by the company's security policies and practices;
• Ensure the confidentiality and integrity of the information being accessed;
• Report any suspected information security violation or breach; and
• Complete all periodic mandatory security trainings in accordance with the company's guidelines.