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Advisory Solution Consultant - Data & AI

Job in Riyadh, Riyadh Region, Saudi Arabia
Listing for: ServiceNow
Full Time position
Listed on 2026-01-11
Job specializations:
  • IT/Tech
    AI Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 200000 - 300000 SAR Yearly SAR 200000.00 300000.00 YEAR
Job Description & How to Apply Below

Company Description

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — Service Now stands as a global market leader, bringing innovative AI‑enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud‑based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work.

But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.

Job Description

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 Service Now 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 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…
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