Advisory Solution Consultant – AI, Data & Analytics

As an Advisory Solution Consultant – AI, Data & Analytics, you will be the technical and solution expert partnering with the Solution Sales Executive for AI, Data & Analytics. Your mission is to drive innovative business outcomes for enterprise customers by architecting, positioning, and delivering advanced AI and analytics solutions on the company platform. You will act as a trusted advisor to C-suite stakeholders, translating complex technical capabilities into measurable business value, and enabling customers to realize the full potential of AI-driven transformation.

Key Responsibilities

• Technical Leadership & Solution Delivery

  • Lead technical discovery workshops to understand customer challenges and architect tailored AI, Data & Analytics solutions.
  • Design and deliver product demonstrations, Proofs of Concept (PoCs), and prototypes, focusing on GenAI, RAG pipelines, and agentic AI patterns.
  • Provide deep technical expertise during sales cycles, answering product and technology questions for customers, partners, and internal teams.
  • Collaborate with Solution Sales Executives and cross-functional teams to co-create solution roadmaps and “art of the possible” sessions.
  • Integrate AI/ML, business intelligence, and analytics strategies into customer solutions, ensuring alignment with business transformation goals.

• Strategic Advisory & Executive Engagement

  • Translate advanced AI capabilities into executive-ready narratives and decision frameworks for C-suite audiences.
  • Lead executive briefings on AI operating models, governance, ROI, and risk (responsible AI, privacy, IP protection).
  • Build industry-specific playbooks linking AI use cases to functional outcomes (IT, customer operations, employee experience, security).

• Sales & Pre-Sales Enablement

  • Support deal strategy by co-creating value propositions, demos, and win themes for AI/Data/Analytics opportunities.
  • Establish repeatable blueprints (reference architectures, KPI trees, cost models) to accelerate adoption and scale.
  • Track engagements progression in the CRM system, ensuring accurate opportunity and stakeholder management.

• Knowledge Sharing & Mentorship

  • Mentor solution teams on prompt engineering, evaluation techniques, model selection, and safety.
  • Contribute to internal upskilling programs and codify standards and best practices for GenAI excellence.

• Customer Advocacy & Expansion

  • Provide post-sale technology guidance for workflow expansion opportunities.
  • Ensure customer advocacy, renewal, and upsell by overseeing adoption and value realization.

Qualifications

• Technical Expertise

  • 8+ years in presales solution consulting, technical architecture, or solution delivery in AI, Data, Analytics, or cloud platforms.
  • Hands-on experience with GenAI, LLMs, RAG pipelines, and Vector Databases. Strong understanding of data fabric architectures, data integration strategies, and the modernization of legacy data ecosystems to support an AI-first strategy.
  • Deep knowledge of low-code, RPA, business process automation, and API management.
  • Experience integrating AI into business processes, decision-making, and workflow automation.

• Business & Advisory Skills

  • Proven ability to translate technical capabilities into business outcomes and executive narratives.
  • Strong understanding of industry trends and client priorities across multiple verticals.
  • Excellent storytelling, visualization, and executive-level presentation skills.

• Collaboration & Leadership

  • Demonstrated ability to build trusted partnerships with senior executives (CDOs, CAOs, CIOs, CTOs).
  • Experience leading cross-functional teams and orchestrating multi-stakeholder engagements.
  • Strong teamwork, coaching, and mentoring skills.

• Education & Certifications

  • Bachelor’s degree in Computer Science, Engineering, Data Science, Business, or related field (MBA or equivalent advanced degree preferred).
  • Certifications in AI/ML or cloud AI (Azure AI Engineer, AWS ML Specialty, Google Cloud Professional ML Engineer) preferred.

• Other Requirements

  • Willingness to travel regionally (up to 40–50%) to engage with customers, partners, and internal teams.
  • Fluency in Arabic & English.