At a Glance
- Tasks: Guide enterprises through Data & AI transformation and modernisation initiatives.
- Company: Join SAP, a leader in tech innovation across 20 industries.
- Benefits: Enjoy continuous learning, great benefits, and a supportive team culture.
- Other info: Dynamic role with travel opportunities and excellent career growth.
- Why this job: Make a real impact by shaping the future of data and AI solutions.
- Qualifications: Bachelor's degree and 7+ years in data, analytics, or AI consulting.
The predicted salary is between 70000 - 90000 £ per year.
We help the world run better. At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritise your wellbeing, and truly belong. What’s in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
The Data & AI Solution Advisor is a strategic, customer‑facing role responsible for guiding enterprises through complex Data & AI transformation initiatives, particularly in post‑merger integration (PMI), platform modernisation, and technology evolution scenarios. The role combines deep technical and architectural expertise with strong commercial acumen to protect customer value, ensure continuity, and accelerate business outcomes during periods of significant and transformative change. Acting as a trusted advisor to customers and internal stakeholders, you translate complex integration challenges into clear, holistic, and differentiated SAP Data & AI strategies and architectures, reinforcing customer trust and safeguarding long‑term investments. The role plays a critical part in shaping account strategy, influencing executive decision‑making, and positioning SAP as the partner of choice for data modernisation, analytics, and agentic AI innovation as customers navigate diverse, evolving environments on their journey toward the Autonomous Enterprise. Additionally, you carry critical accountability for cross‑entity enablement, aligning and empowering account teams, solution advisors, delivery organisations, and ecosystem with the guidance, frameworks, and clarity required to execute consistently and confidently in technology integration and acquisition scenarios.
Responsibilities
- Collaborate with account teams and partners to understand customer objectives, qualify opportunities and shape account strategy.
- Act as a trusted advisor and thought leader, shaping and guiding customer’s lifetime value journey with SAP’s data & AI solution portfolio.
- Evaluate technical and business values in technology expansion, integration and acquisition scenarios, enabling the field with clear insights and recommendations.
- Lead customer discovery sessions, data maturity assessments, solution workshops, and architecture reviews to identify requirements, pain points and target outcomes.
- Translate customers into tailored solution recommendations, clearly articulating SAP’s data & AI differentiators and best practice architectures.
- Design end‑to‑end data modernisation architectures spanning data fabric, data warehousing, analytics, enterprise master data management, and agentic AI readiness.
- Deliver standard and customised demos, tailored proof‑of‑concepts (POCs), executive briefings, and workshops that demonstrate clear data‑to‑value outcomes.
- Support proposal development, business case creation and deal progression, in close collaboration with account teams, peer solution advisors, partners and services.
- Represent regional, industry and customer‑specific business needs, market challenges and requirements through detailed, professional and fact‑driven presentations to influence the road map priorities.
- Stay current on market trends, competitive landscape, and emerging technologies to continuously strengthen SAP’s solution positioning and differentiation.
Required Skills and Qualifications
- Bachelor’s degree in Business, Technology, AI, Data and Analytics, or a related field.
- 7+ years of experience in pre‑sales, consulting, or solution architecture within data, analytics, or AI domains.
- Hands‑on experience in modern enterprise data architectures, spanning master data management, data warehousing/lakehouse, data fabric, analytics, and agentic AI/ML.
- Demonstrated technical proficiency in SAP Business Data Cloud services, including SAP Datasphere, SAP Analytics Cloud, SAP HANA Cloud, SAP Master Data Governance, Joule, SAP Knowledge Graph, SAP Databricks, and SAP application data models.
- Working knowledge of leading data ecosystems such as Reltio, Databricks, Snowflake, Google Cloud, Microsoft Azure, Amazon Web Services, Palantir, or Informatica.
- Proven track record of leading customer‑facing demos, workshops, POCs, and executive‑level engagements.
- Excellent communication and presentation skills, with ability to distill complex or technical concepts into clear, compelling business narratives and visual illustrations.
- Deep understanding of enterprise buying cycles, complex deal structures, and value‑based selling.
- Polished collaboration and stakeholder management skills, successfully engaging technical, commercial, and partner teams to drive customer‑centric outcomes.
- High learning agility and adaptability in fast‑changing business environments.
- Ability to work independently and collaboratively in high‑pressure, time‑critical environments.
- High energy and passion for customer success supported by a methodical, structured approach to solving problems and delivering value.
Travel Requirements
This role requires 25‑50% travel.
Equal Employment Opportunity
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, etc), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements. Successful candidates might be required to undergo a background verification with an external vendor.
Data and AI Solution Advisor employer: SAP
At SAP, we pride ourselves on fostering a dynamic work environment where innovation thrives and every employee is empowered to reach their full potential. As a Data and AI Solution Advisor, you'll benefit from continuous learning opportunities, a supportive team culture, and comprehensive benefits that prioritise your wellbeing. Join us in our mission to help the world run better, while enjoying the unique advantages of working in a collaborative and forward-thinking company located at the heart of technological advancement.
StudySmarter Expert Advice🤫
We think this is how you could land Data and AI Solution Advisor
✨Tip Number 1
Network like a pro! Reach out to current employees at SAP or in similar roles on LinkedIn. Ask them about their experiences and any tips they might have for landing the job. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for those interviews by practising common questions related to data and AI. Think about how your past experiences align with the role of a Data & AI Solution Advisor. We want you to showcase your skills and knowledge confidently!
✨Tip Number 3
Don’t forget to tailor your approach! When discussing your experience, focus on how you've tackled complex data challenges and delivered value. This will resonate well with the hiring team and show you're the right fit for SAP.
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows your enthusiasm for joining SAP and being part of our mission to help the world run better.
We think you need these skills to ace Data and AI Solution Advisor
Some tips for your application 🫡
Show Your Passion for Data & AI:When you're writing your application, let your enthusiasm for data and AI shine through! We want to see how your unique experiences and skills can contribute to our mission of helping the world run better.
Tailor Your Application:Make sure to customise your CV and cover letter for the Data & AI Solution Advisor role. Highlight relevant experiences that align with the job description, especially in areas like pre-sales, consulting, and solution architecture.
Be Clear and Concise:We appreciate clarity! Use straightforward language to explain your achievements and how they relate to the responsibilities outlined in the job description. Avoid jargon unless it’s necessary to showcase your expertise.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity at SAP.
How to prepare for a job interview at SAP
✨Know Your Stuff
Make sure you brush up on your knowledge of SAP's Data & AI solutions. Familiarise yourself with the specific technologies mentioned in the job description, like SAP Datasphere and SAP Analytics Cloud. Being able to discuss these confidently will show that you're serious about the role.
✨Showcase Your Experience
Prepare to share specific examples from your past work that demonstrate your expertise in data architectures and customer engagement. Think about how you've successfully led demos or workshops and be ready to articulate the impact of your contributions.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions that reflect your understanding of the role and the company. This could include inquiries about their approach to data modernization or how they see the future of AI impacting their business.
✨Demonstrate Your Soft Skills
While technical skills are crucial, don't forget to highlight your communication and collaboration abilities. Be ready to discuss how you've worked with diverse teams and stakeholders to drive customer success, as this is key for a role that involves acting as a trusted advisor.