At a Glance
- Tasks: Lead AI strategy and design solutions for top-tier clients across EMEA.
- Company: Join ServiceNow, a leader in AI-driven business transformation.
- Benefits: Flexible work options, competitive salary, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on mentorship and customer success.
- Why this job: Shape the future of AI and data while making a real impact.
- Qualifications: 5+ years in presales consulting with strong technical and business acumen.
The predicted salary is between 80000 - 100000 £ per year.
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow—helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people.
As an Advisory Presales Solution Consultant for Platform, Data and AI, you are the technical and solution expert within our EMEA Commercial Specialist SC Hub. You partner with Solution Sales Executives across EMEA to help customers unlock business outcomes through ServiceNow's Platform, Workflow Data Fabric, RaptorDB, and Agentic AI capabilities. You will work directly with senior stakeholders (CDOs, CIOs, Chief AI Officers, Chief Architects, Enterprise Architects) to translate complex AI and data capabilities into clear, measurable business value. You sit at the centre of customer transformation: shaping AI strategy early, designing solutions, and demonstrating the art of the possible. This role is part of the EMEA Commercial Specialist SC Hub, covering Core Business Services, Technology Workflows, Risk and Security, and Data and AI.
What you will do
- Lead consultative discovery with C-suite stakeholders to define their data and AI strategy and co-create solution visions aligned to ServiceNow's Platform, Data and AI capabilities.
- Design and deliver tailored solution experiences (demos, hands-on POCs, art of the possible workshops) that make the technical value tangible.
- Act as the technical SME across the full sales cycle: qualification, RFI and RFP responses, architecture guidance, and adoption planning.
- Provide thought leadership at customer briefings, industry events, and partner forums on AI, data, analytics, and enterprise transformation.
- Collaborate across the wider EMEA SC team to build and scale reusable assets, demos, and best practices.
- Share customer-driven product feedback with Product Management to influence the roadmap.
- Mentor SC colleagues across EMEA and contribute to a strong culture of customer obsession.
Strategic advisory and executive engagement
- Translate AI and data capabilities into executive narratives and decision frameworks for C-level audiences.
- Lead briefings on AI operating models, governance, ROI, and responsible AI (privacy, IP, risk).
- Build industry and workflow specific playbooks linking AI use cases to functional outcomes (IT, customer operations, employee experience, security).
Qualifications
- 5+ years in presales solution consulting, technical architecture, or solution delivery across AI, Data, Analytics, or cloud platforms.
- Strong business acumen and the ability to translate technical depth into clear outcomes and ROI for senior stakeholders.
- Hands-on familiarity with GenAI, LLMs, RAG pipelines, and Vector Databases.
- A working understanding of data fabric architectures, integration strategies, and modernising legacy data ecosystems for AI is a strong plus.
- Comfort leading architectural and value-based discussions on advanced analytics and Agentic AI business solutions.
- Proven ability to engage and influence C-level audiences, especially CDOs, CIOs, Chief AI Officers, and Enterprise Architects.
- Knowledge of low-code, RPA, business process automation, and API management.
- Experience integrating AI into business processes, decision-making, and workflow automation.
- Fluency in English required.
- Willingness to travel across EMEA (up to 40 to 50%).
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 and their assigned work location.
Equal Opportunity Employer
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.
Accommodations
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.
Export Control Regulations
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.
Advisory Solution Consultant Platform, Data & AI (EMEA) employer: ServiceNow
ServiceNow is an exceptional employer that fosters an AI-native culture, empowering employees to engage in meaningful work while driving business transformation. With a strong emphasis on flexibility and trust, our work environment supports various personas, allowing for remote or hybrid arrangements tailored to individual needs. Employees benefit from continuous growth opportunities, mentorship, and the chance to collaborate with senior stakeholders across EMEA, making it an ideal place for those passionate about AI and data innovation.
StudySmarter Expert Advice🤫
We think this is how you could land Advisory Solution Consultant Platform, Data & AI (EMEA)
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We think you need these skills to ace Advisory Solution Consultant Platform, Data & AI (EMEA)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at ServiceNow. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at ServiceNow
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at ServiceNow!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
