3 days ago

Advisory Solution Consultant AI, Data & Analytics

ServiceNow

On Site
Full Time
€120,000
Issy-les-Moulineaux, Île-de-France, France

Job Overview

Job TitleAdvisory Solution Consultant AI, Data & Analytics
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary€120,000
LocationIssy-les-Moulineaux, Île-de-France, France

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Job Description

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 — ServiceNow 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 ServiceNow 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 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.
  • Native French speaker
  • Fluency in English; additional languages a plus.

Additional Information

We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work. Learn more here.

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance.

For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.

From Fortune. ©2024 Fortune Media IP Limited. All rights reserved. Used under license.

Key skills/competency

  • AI Solutions
  • Data Analytics
  • Generative AI
  • RAG Pipelines
  • Presales Consulting
  • Technical Architecture
  • ServiceNow Platform
  • C-suite Engagement
  • Business Value Translation
  • Workflow Automation

Tags:

Advisory Solution Consultant AI, Data & Analytics
AI solutions
data analytics
presales
consulting
technical architecture
executive engagement
business value
solution delivery
mentorship
workflow automation
GenAI
LLMs
RAG pipelines
Vector Databases
Data Fabric
low-code
RPA
API management
ServiceNow Platform

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How to Get Hired at ServiceNow

  • Research ServiceNow's AI Vision: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor, especially concerning AI/Data innovation.
  • Tailor your Resume: Customize your resume to highlight extensive AI, data, and analytics expertise, showcasing presales experience and success in solution delivery.
  • Showcase ServiceNow Platform Skills: Emphasize any hands-on experience or deep understanding of the ServiceNow platform, particularly its AI/ML capabilities and integration points.
  • Prepare for Technical Demos: Practice designing and delivering compelling product demonstrations and Proofs of Concept (PoCs) related to GenAI, RAG pipelines, and data integration scenarios.
  • Articulate Business Value: Develop strong narratives that translate complex technical capabilities into clear, measurable business outcomes and executive-ready decision frameworks for C-suite audiences.

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